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Who We Are As the largest private-sector power producer in the world and the nation's largest producer of clean and reliable energy, Constellation is focused on our purpose: lighting the way to a brilliant tomorrow for all. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute. Now integrated with Calpine, our portfolio includes 55 gigawatts of capacity from nuclear, natural gas, geothermal, hydro, wind and solar facilities, with the generating capacity to power the equivalent of 27 million homes. Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things. Join us in meeting the country's energy needs today and tomorrow. Total Rewards Constellation offers an extensive selection of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and a wide-range of benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, eligible employees are offered a bonus program, 401(k) with company match, employee stock purchase program comprehensive medical, dental and vision benefits, including robust wellbeing programs disability and life insurance benefits paid time off for vacation, holidays, and sick days and much more. Expected salary range of $109,800 to $122,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k). Primary Purpose of Position The Senior Project Manager (PM) leads project teams and plans, directs, and coordinates activities of large-scale, energy efficiency, capital improvement and major maintenance-focused construction projects supporting large energy asset operations. Ensures that projects are completed safely, with a high level of quality, & on-time and on/under budget. Manages all aspects of project phases, from conceptual through pre-construction to completion. Act as primary liaison with clients, existing plant operations and maintenance staff, support development of subcontract and procurement documentation, including scope of work, equipment/material lists, and specifications. Negotiates subcontract and procurement scope, and terms & conditions. Primary Duties and Accountabilities • Maintain & monitor safe working conditions identifies, corrects, and reports unsafe work areas, enforces safety compliance., • Develops and reviews project schedules, cost estimation, bill of materials, budgets, scopes of work, standards and quotes from suppliers, • Lead, plan, direct, and coordinate all project activities to ensure goals and objectives are achieved within established timeframes and budget constraints., • Manage all field resources and personnel, ensuring professional project execution from construction through project close-out., • Manages and leads key aspects of project management support, including coordination of shop drawings and submittals, development and processing of change orders, response to Requests for Information (RFIs), tracking of project progress and schedules, preparation and tracking of invoices, as well as financial planning, cost forecasting, and schedule management. Minimum Qualifications • Bachelor's degree and 5-years related work experience in construction project management, or equivalent combination of education and related experience, • Demonstrated supervisory and/or management experience in plant operations and/or maintenance, • Demonstrated expertise in construction project management methodologies, with experience managing projects in alignment with construction contracts and a strong understanding of engineering and construction documents and processes, • Ability to review and interpret schematic, mechanical, electrical, plumbing, and architectural drawings, • Solid understanding of mechanical/electrical plant components (Pumps, motors, boilers, chillers, metering devices ), • Demonstrated problem-solving skills and experience resolving challenging situations requiring tact and collaboration to maintain cost-effective operations, • Demonstrated project budgeting, cost tracking, and cost estimating experience, • Experience at preparing estimates and value engineering, • Ability to climb and walk long distances, • Ability to lift 50 lbs, • Climb ladders, work at various high elevations and ladders/scaffolds, • Computer-based analytical skills, strong proficiency with Microsoft Office Suite applications, • Valid driver's license, • Proficiency in project scheduling and tracking using software such as Primavera and other common construction project management applications, • Effective written and oral communication/presentation skills, report generation & technical writing skills Preferred Qualifications • 7-years of experience managing commercial construction projects, • Demonstrated experience managing multiple prime subcontractors on construction projects, • Experience working on Design-Build contract projects, • Professional Certification such as Professional Engineer (PE) or Project Management Professional (PMP)

Client Overview Our client is a growing technology organization specializing in enterprise SaaS solutions for the higher education industry. The company develops innovative software platforms that help educational institutions streamline operations, automate workflows, and improve efficiency. They are seeking an experienced Lead Full Stack Software Engineer to join their growing Engineering team.\n \n Salary/Hourly Rate $120k - $140k Annually\n \n Position Overview This Lead Full Stack Software Engineer role is a hands-on technical leadership position focused on designing, developing, and scaling enterprise SaaS applications using Python, Node.js, React, and AWS. The ideal candidate has a strong full-stack engineering background, experience leading Development teams, and expertise in cloud-based application architecture. The role also involves integrating emerging AI technologies into existing products and engineering workflows.\n \n Responsibilities Of The Lead Full Stack Software Engineer \n\n • Lead the design, development, and scaling of enterprise SaaS applications.\n, • Develop and maintain full-stack applications using Python, Node.js, and React.\n, • Design and optimize AWS cloud infrastructure and serverless solutions.\n, • Mentor and manage software engineers, providing technical guidance and support.\n, • Collaborate with Product Managers to prioritize features and deliver scalable solutions.\n, • Establish engineering best practices, including code reviews, automated testing, and CI/CD.\n, • Design and integrate agentic AI workflows into existing applications.\n, • Identify opportunities to improve application performance, reliability, and development efficiency. \nRequired Experience/Skills For The Lead Full Stack Software Engineer \n\n • 5 - 8+ years of professional software engineering experience.\n, • Strong hands-on development experience with Python, Node.js, and React.\n, • Experience designing and scaling cloud-based SaaS applications.\n, • Strong AWS experience, including Lambda, API Gateway, SNS, and EC2.\n, • Experience with PostgreSQL or AWS Aurora.\n, • Experience with modern API development and application architecture.\n, • Previous experience leading, mentoring, or managing Software Engineers.\n, • Strong understanding of CI/CD pipelines, automated testing, and code review processes.\n, • Experience building agentic AI workflows using LangChain, LangGraph, OpenAI Agents SDK, or similar frameworks.\n, • Strong communication, collaboration, and problem-solving skills. \nPreferred Experience/Skills For The Lead Full Stack Software Engineer \n\n • Experience with GraphQL or AWS AppSync.\n, • Familiarity with Ant Design, Bootstrap, and SSO integrations.\n, • Experience with Golang.\n, • Experience migrating applications toward serverless architectures.\n, • Experience working in Agile development environments. \nEducation Requirements \n\n • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience, is required. \nBenefits \n\n • Medical, dental, and vision insurance.\n, • 401(K) with company match.\n, • Equity opportunities.\n, • Four weeks of paid vacation, 10 paid holidays, and paid sick leave.\n, • Paid parental leave.\n, • Employer-paid life and disability insurance.\n, • Health savings and flexible spending accounts.\n, • Professional development and continuing education benefits.\n, • Monthly mobile connectivity stipend.\n, • Employee assistance and wellness programs. \n

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.\n \n \nL3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.\n \n Job Title: Non Destructive RT / PT Level 2 Technician\n \n Job Code: 42069\n \n Job Location: Carlstadt, New Jersey\n \n Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off \n \n Job Description: \n \n \nL3 Harris in Carlstadt, NJ has a current opportunity in our Quality Department for Radiographic (RT L2) and Fluorescent Penetrant (PT L2) Inspectors to inspect our critical components for our diverse customer base. Here you will have an opportunity to be part of our growing NDT department with advanced capabilities including film radiography, Digital radiography (CR ), and fluorescent penetrant inspection (FPI). Our employees apply their experience, skills, expertise, and knowledge to produce components used in aerospace. \n \n \n We are looking for dedicated, trustworthy individuals with training and experience necessary to perform the NDT Level 2 responsibilities described below. We have continued to invest in new technology, such as digital Radiography (CR), and plan to expand the non-destructive inspection testing area to make our NDT department a great place to work. \n \n Essential Functions: \n \n \n\n • Must be able to obtain a security clearance.\n, • Perform radiographic inspection and fluorescent penetrant inspection by following provided techniques, and work instructions to inspect the welds, heat affected zones and parent material on components fabricated from material such as Inconel, aluminum, stainless Steel and Titanium.\n, • Interpretation of results to determine whether parts pass or fail inspection based on Drawings, procedures and customer specifications.\n, • Assist in maintaining the radiographic inspection and fluorescent penetrant inspection areas and equipment.\n, • Maintain accurate records of inspections and process logs as required by the method\n, • Detect and identify indications affecting quality and safety factors such as cracks, inclusions, cavities, undercuts, incomplete fusion and porosity, etc.\n, • Determine and disposition (accept or reject) items based on NDT results.\n, • Record test results, findings and dispositions manually or with the aid of a computer or computer based system.\n, • Coordinate recurring defects with concerned with supervisor and quality engineer personnel, and if required recommend corrective action measures.\n, • Test and pass NAS 410 Level II certification in house.\n, • Able to pass vision test requirements.\n, • Ability to obtain a US Security Clearance.\n, • May be require to work some weekends.\n\n \n Qualifications:\n \n \n\n • High School Diploma or GED.\n, • Previously certified to NAS 410 or ASNT TC-1A Level 2 in Radiographic Testing or Fluorescent Penetrant Testing. With a minimum of one (1) year NDT work experience.\n, • Candidates with less experience which have been previously certified to RT or PT NAS410 or ASNT TC-1A Level 1 may be considered for this position and are encouraged to apply.\n\n \n Preferred Additional Skills:\n \n \n\n • Experience with DDA, CR (digital X-ray) desirable but not required.\n, • Able to work independently and follow written and verbal instructions.\n, • Strong work ethic, high attention to detail, and team player.\n, • Have a desire to increase technical and leadership skills in the NDT field.\n, • Working knowledge of Microsoft Office Programs (Office, Excel, PowerPoint).\n, • Proficiency using precision measuring tools.\n, • Knowledge and experience of aerospace manufacturing processes and materials.\n, • Good communication skills, and the ability to work in a team environment.\n, • Strong problem solving and ability to create manual approaches to measuring.\n, • When required, ability to work in a fast pace environment to meet deadlines.\n\n \n \nIn compliance with pay transparency requirements, the salary range for this role in the state of New Jersey is $18.50/hr - $59.13/hr. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. \n \n \n#LI-TD4 \n \n \nL3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.\n \n \nPlease be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. \n \n \nBy submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.\n \n \nL3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish . For information regarding your Right To Work, please click here for English or Spanish .

About Us Surgeon Decision Intelligence (SDI) is an emerging leader in AI-driven medical imaging solutions for orthopedic care. Founded by a team of orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the world’s best orthopedic hospital, our mission is to transform patient care by developing quantitative imaging biomarkers to inform treatment approaches for a broad spectrum of musculoskeletal disease and predict associated outcomes. We combine cutting-edge computer vision, medical image analysis, and machine learning to unlock new insights from MRI imaging, one of the most widely obtained modalities of medical imaging, accelerating the translation of novel imaging biomarkers from research into clinical practice. Our team is passionate about bridging the gap between advanced computational methods and real-world healthcare impact. Position Summary The Principal Software Quality Engineer is responsible for leading software quality assurance activities for our Class II AI/ML-based Software as a Medical Device (SaMD). This role provides technical leadership and quality oversight across the full software lifecycle, including design controls, risk management, verification and validation, cybersecurity, release management, post-market activities, change control, and quality system compliance. You will work closely with Software Engineering, Machine Learning, Product, Regulatory, Clinical, and Cybersecurity teams to ensure our software is developed, tested, released, maintained, and changed in a controlled, compliant, and risk-based manner that supports product safety, effectiveness, and quality, including Quality System requirements. You will also provide technical oversight, mentoring, and review of work performed by internal teams, consultants, contractors, and third-party service providers. Essential Responsibilities: The Principal Software Quality Engineer is responsible for supporting and leading software quality activities across the full product lifecycle, including design, development, verification, validation, release, maintenance, and post-market change control. Essential responsibilities include, but are not limited to, the following: · Provide software quality engineering leadership for the Company’s Class II AI/ML-based Software as a Medical Device. · Support compliance with applicable medical device software regulations, standards, guidance documents, and internal quality system procedures. · Provide Quality oversight for software lifecycle activities, including requirements, design, development, verification, validation, release, maintenance, and change control. · Review and approve software quality documentation, including software requirements, design documentation, risk analyses, cybersecurity risk analyses, traceability matrices, verification protocols, validation protocols, test reports, release documentation, and change records. · Ensure software requirements are clear, testable, traceable, risk-based, and aligned with user needs and intended use. · Support design control activities, including design inputs, design outputs, design reviews, design verification, design validation, design transfer, and design changes. · Ensure appropriate traceability among requirements, design outputs, risk controls, verification testing, validation testing, defects, and released software. · Provide quality oversight for AI/ML-related software activities, including algorithm performance documentation, dataset considerations, acceptance criteria, validation activities, and change impact assessments. · Support software verification and validation activities, including test plans, test cases, automated testing, regression testing, performance testing, cybersecurity testing, deviations, anomalies, and final reports. · Evaluate software defects, deviations, and unresolved anomalies for safety, performance, cybersecurity, regulatory, and release impact. · Support software release readiness reviews and confirm required testing, documentation, risk assessments, cybersecurity activities, and approvals are complete. · Review and approve software change requests and impact assessments, including impact to requirements, risk management, cybersecurity, validation, labeling, and regulatory documentation. · Provide quality oversight for cloud-based software deployment, configuration management, access controls, release controls, CI/CD processes, source code repositories, and software development tools. · Support cybersecurity quality activities, including review of threat models, vulnerability assessments, penetration testing results, SBOM documentation, vulnerability dispositions, and cybersecurity risk mitigations. · Support supplier quality activities for software-related suppliers, cloud service providers, software development contractors, cybersecurity vendors, and other third-party service providers. · Support post-market software quality activities, including complaint investigations, CAPA, nonconformances, field issues, software patches, and maintenance releases. · Provide quality input for regulatory submissions and responses to regulatory questions related to software, cybersecurity, risk management, and verification and validation. · Participate in internal audits, external audits, supplier audits, and regulatory inspections related to software quality and SaMD development. · Identify and support improvements to software quality processes, design controls, risk management, verification and validation, cybersecurity, and release management. · Mentor cross-functional team members on software quality expectations, documentation practices, risk-based thinking, and medical device software compliance. · Oversee our cloud infrastructure (Azure/AWS), CI/CD pipelines, and DevSecOps practices. Minimum Qualifications: To be qualified for this role, the Principal Software Quality Engineer shall meet the following requirements: · Bachelor’s degree in Software Engineering, Computer Science, Biomedical Engineering, Electrical Engineering, Systems Engineering, or a related technical discipline. · Minimum of 8 years of experience in software quality engineering, software development, software verification and validation, quality engineering, or related medical device software role. · Minimum of 5 years of experience working in a regulated medical device, SaMD, digital health, diagnostic imaging, healthcare software, or other regulated life sciences environment. · Demonstrated knowledge of medical device design controls and software lifecycle requirements. · Demonstrated knowledge of the US FDA’s expectations for maintaining AI/ML-enabled medical devices including predetermined change control plans, real-world performance monitoring, and algorithm change management. · Experience with software verification and validation, including review of test plans, protocols, test cases, test results, deviations, anomalies, and traceability. · Experience with risk management for medical devices, including hazard analysis, software risk analysis, cybersecurity risk analysis, and risk control verification. · Working knowledge of applicable standards and regulations, such as 21 CFR Part 820, ISO 13485, ISO 14971, IEC 62304, IEC 62366-1, and FDA guidance for medical device software. · Experience supporting software change control, release readiness, configuration management, and defect management. · Experience working with cross-functional teams, including software engineering, product, regulatory, clinical, cybersecurity, and quality. · Strong technical writing skills, including ability to write and review clear, complete, and audit-ready quality records. · Strong analytical and problem-solving skills, including ability to assess technical issues for quality, safety, cybersecurity, regulatory, and business impact. · Ability to work independently, prioritize work, and provide technical leadership in a fast-paced development environment. · Proficiency in English, including ability to read, write, review, and approve technical and quality documentation. Preferred qualifications include: · Master’s degree in Software Engineering, Computer Science, Biomedical Engineering, Regulatory Science, Quality Assurance, or a related discipline. · Experience with AI/ML-enabled medical devices, imaging software, quantitative imaging biomarkers, radiology workflows, MRI image processing, or clinical decision-support software. · Experience with Class II SaMD regulatory submissions, including US FDA 510(k) submissions. · Experience with cloud-based software platforms and Microsoft Azure. · Experience with cybersecurity documentation for medical devices, including threat modeling, SBOM review, vulnerability assessment, penetration testing, and cybersecurity risk management. · Experience with automated testing frameworks, CI/CD pipelines, DevOps practices, GitHub, Jira, Azure DevOps, or similar tools. · Experience with software tool validation or computer software assurance. · Experience supporting US FDA inspections, ISO 13485 audits, MDSAP audits, supplier audits, or EU notified body audits. · ASQ Certified Software Quality Engineer, Certified Quality Engineer, Regulatory Affairs Certification, or similar professional certification. Location Remote (U.S.) temporarily, but able to transition to in-person work in New York City in approximately 6 months. Compensation Highly competitive salary + equity + benefits, commensurate with experience. If you’re excited about our mission, we want to hear from you. The base salary for this role is $200,000 - 270,000. How to Apply • If you’re excited to help shape the future of quantitative imaging biomarkers and medical AI, send your resume and a brief introduction to nathooi@sdi-global.ai (Isaac).

Software Engineer, Data & ML Infrastructure Location: New York City (Remote to In-Person) Full Time Company: Surgeon Decision Intelligence About Us Surgeon Decision Intelligence (SDI) is an emerging leader in AI-driven medical imaging solutions for orthopedic care. Founded by a team of orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the world’s best orthopedic hospital, our mission is to transform patient care by developing quantitative imaging biomarkers to inform treatment approaches for a broad spectrum of musculoskeletal disease and predict associated outcomes. We combine cutting-edge computer vision, medical image analysis, and machine learning to unlock new insights from MRI imaging, one of the most widely obtained modalities of medical imaging, accelerating the translation of novel imaging biomarkers from research into clinical practice. Our team is passionate about bridging the gap between advanced computational methods and real-world healthcare impact. We work closely with clinical collaborators, surgeons, and research partners to ensure our models meet the highest standards for accuracy, interpretability, and reproducibility. Position Summary We’re hiring a Software Engineer to help build and maintain the data and infrastructure backbone of our AI/ML platform. You’ll work directly with our Senior AI/ML Engineer on the systems that power everything we do: a PostgreSQL clinical and imaging database, cloud storage for medical imaging studies, internal APIs, and the tooling and CI/CD infrastructure that keeps our ML codebase reliable and reproducible. This is a hands-on engineering role, not a research role. You’ll write production Python, own database migrations and data-quality tooling, help migrate legacy code into well-structured packages, and build the internal services that our ML and clinical teams depend on. It’s an excellent fit for an engineer who takes pride in clean, well-tested, well-documented software and wants meaningful exposure to medical imaging and applied ML in a regulated domain. Key Responsibilities • Develop and maintain our PostgreSQL database layer: schema changes, SQLAlchemy ORM models, Alembic migrations, and data-integrity constraints, • Build and maintain data ingestion, validation, and ETL pipelines for clinical outcomes data and medical imaging metadata (DICOM), • Contribute to internal FastAPI services, including endpoints for imaging metadata, annotations, and access control, • Support our Azure cloud infrastructure: blob storage for imaging studies, containerized service deployments, and authentication/authorization workflows, • Help migrate legacy research code into versioned, dependency-managed Python packages following team engineering standards, • Write and maintain CI/CD pipelines, tests, and developer tooling that keep the codebase reliable and reproducible, • Build supporting tooling for ML workflows: dataset extraction and export, experiment/artifact tracking support, and data provenance, • Participate in code review and contribute to team engineering standards and documentation Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, • 3+ years of professional software development experience with Python, • Solid working knowledge of SQL and relational databases (PostgreSQL preferred), including schema design and query optimization, • Experience with software development lifecycle practices such as version control, testing, CI/CD, and collaborative development workflows., • Experience with data and ML infrastructure (e.g., data pipelines, feature stores, model deployment, containerization, orchestration frameworks)., • Experience with cloud-based ML pipelines (Azure) and infrastructure-as-code tools., • Proficiency with Git and collaborative development workflows (branching, pull requests, code review), • Experience writing tested, documented, production-quality code with type hints and modern Python packaging practices, • Strong communication skills and comfort working in a small, fast-moving team Preferred Skills and Qualifications • Experience with an ORM and database migration tooling (e.g., SQLAlchemy and Alembic), • Experience building REST APIs with FastAPI or a similar Python web framework, • Experience with Azure (blob storage, container apps, Entra ID) or another major cloud platform, • Familiarity with Docker and CI/CD systems (e.g., GitHub Actions), • Experience with healthcare data: DICOM, medical imaging pipelines, clinical registries, or EHR-derived datasets, • Understanding of HIPAA and handling PHI in production systems, • Familiarity with ML engineering tooling (e.g., MLflow, model/data versioning) and supporting ML teams, even without direct modeling experience, • Experience with modern Python dependency management (e.g., uv, Poetry) and publishing internal packages, • Experience working in or migrating legacy codebases toward better structure and standards, • Experience with software quality practices for regulated medical software, including requirements traceability, validation, configuration management, and controlled releases, • Experience with orchestration or workflow systems for data/ML pipelines, specifically Databricks. Why Join Us? At SDI, you’ll be part of a mission-driven team working at the frontier of medical AI. You will have the opportunity to: • Contribute to technology that could redefine clinical management of musculoskeletal health and diseases., • Work with a diverse and inclusive multidisciplinary team of engineers and clinicians., • Grow your skills in a dynamic, fast-moving startup environment. Location Remote (U.S.) temporarily, but able to transition to in-person work in New York City in about 6 months. Compensation Highly competitive salary + equity + benefits, commensurate with experience. If you’re excited about our mission, we want to hear from you. The base salary for this role is $140,000 - 175,000. Surgeon Decision Intelligence provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Senior Controls Engineer - Springfield, NJ A growing automation systems integrator specialising in custom machine building and full systems integration is looking for a Senior Controls Engineer to anchor its engineering team in Springfield, NJ. This is a hands-on technical leadership position suited to an experienced professional who can take complex projects from concept to completion - shaping system architecture, leading the programming effort, and running commissioning, all while coaching less-experienced engineers and acting as a go-to technical advisor for customers. The successful candidate will bring deep practical expertise, sound decision-making when requirements are unclear, and the confidence to lead through influence within a lean, fast-paced team. Key Responsibilities • Technical Leadership: Act as lead engineer on complex, multi-disciplinary builds - owning key architecture decisions, setting the technical direction, and guiding engineers and technicians from initial concept through to commissioning., • Advanced Programming: Design and build PLC, HMI, motion control, robotics, and vision applications across leading platforms such as Allen-Bradley, Siemens, FANUC, UR, Cognex, Keyence, and Beckhoff., • Standards & Best Practice: Create and maintain engineering standards, reusable code libraries, and documentation templates that lift quality and consistency across the project portfolio., • System Integration: Oversee the integration of control systems into existing manufacturing lines, coordinating mechanical, electrical, and software workstreams to deliver efficient, reliable, and maintainable solutions., • Commissioning & Troubleshooting: Lead on-site start-up, system analysis, and advanced fault-finding, resolving the most difficult integration and performance challenges to keep equipment running at its best., • Mentorship & Support: Guide junior and mid-level engineers, run design and code reviews, and provide expert support and training to internal teams, technicians, and customers., • Project Execution: Manage project schedules, budgets, and vendor relationships, controlling scope and change orders to deliver on time and on budget., • Compliance & Safety: Ensure every project meets regulatory requirements and follows strict safety practices, including applicable UL 508A and industrial electrical safety standards. Qualifications • Education: A bachelor's degree in electrical engineering, mechanical engineering, computer science, or a related technical discipline is required., • Experience: At least 8 years in controls engineering, ideally within industrial, manufacturing, systems integration, or custom machine-building settings, with a proven record of running projects independently from concept to commissioning., • Technical Proficiency: Extensive, hands-on PLC programming and configuration skills. Rockwell platform experience is strongly preferred, with Siemens and/or Beckhoff proficiency also valued. A solid grounding in robotics, motion control, vision systems, sensor integration, and data acquisition is essential., • BOM & Documentation: Expert-level handling of structured BOMs and full electrical drawing packages across the complete project lifecycle., • Delivery Track Record: Consistent success delivering on time and on budget in a project-based or job-shop setting, including ownership of change-order processes., • Small-Shop Mindset: Comfortable in a lean, self-directed environment - happy to wear multiple hats and take full ownership of outcomes. Previous experience with an integrator or custom machine builder is a strong advantage., • Communication: Clear, direct communicator with internal teams, customers, and vendors, able to translate complex technical detail for different audiences. What's on Offer • Competitive salary with annual bonus potential and a clear path toward career growth and technical leadership., • A collaborative, low-bureaucracy culture where individual decisions carry real weight., • Exposure to a wide range of industries and machine types - no two projects are alike., • A team that takes pride in craftsmanship, accountability, and continuous improvement. Core Values • Champion the Customer: Build genuine partnerships, do the right thing, and win as a team., • Own It: Take accountability, work the problem, and drive results., • Deliver Excellence: Take pride in the work, bring expertise, and sweat the details., • Spark Innovation: Stay curious, embrace challenges, and keep growing., • Stronger Together: Respect, support, and look out for one another.

A leading global trading firm is hiring a Machine Learning Performance Engineer to work on a flagship AI program. You'll have real influence across ML infrastructure, training and inference, work that feeds directly into the firm's futures trading strategies. The role • Build robust, scalable training and inference pipelines for deep learning, • Work inside the internals of open-source deep learning frameworks and extend what they can do, • Hunt down and remove performance bottlenecks, • Partner closely with researchers and fellow engineers, • Build deep knowledge of how the trading systems work What's on offer • You'll be part of a collaborative, high-performing culture built around curious thinkers and inventive problem-solvers, tackling some of the hardest challenges in financial markets alongside genuinely strong colleagues., • Colleagues drawn from 40+ nationalities, • Highly competitive compensation, • Firm-wide profit share plus performance-linked bonus, • 401(k) matched up to 50%, • Full health, mental health, dental, vision, disability and life cover, • 25 days' paid leave plus market holidays, • Generous office perks — breakfast, lunch and snacks, social events, clubs and sports leagues What you'll bring • Strong low-level GPU programming in CUDA — Tensor Cores, cooperative groups, graphs, warp-level intrinsics, • Deep familiarity with the internals of frameworks such as PyTorch, JAX or TensorFlow, • Solid grounding in computer architecture, • C++ and Python Bonus points for • The JAX ecosystem (XLA, Flax and similar), • GPU tooling — Triton, CUB, cuDNN, cuBLAS, • Linux systems programming, • Large-scale distributed training, • Open-source contributions in ML or data science About the firm A major market maker active on 100+ exchanges worldwide, focused on improving markets by adding liquidity, pricing accurately and increasing transparency in all conditions — with the health and efficiency of those markets a priority for every participant.

Hybrid 4 days on-site in Jersey City in Jersey City, NJ Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $85.00/hr. w2 Responsibilities • Design and develop scalable back-end data services using Java frameworks., • Work within Agile methodology and share software development best practices with the team., • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges., • Leverage open-source technologies to meet business needs., • Contribute to the modernization of a custody system with financial market impact. Experience Requirements • 12+ years of software development experience., • Proven commercial experience with Java., • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger., • Experience building microservices., • Experience with distributed cloud services, preferably Azure., • Experience with distributed data technologies such as Kafka, MQ, or Spark., • Experience designing and integrating REST and GraphQL APIs., • Working knowledge of relational and in-memory databases including Oracle and Redis., • Familiarity with Angular (preferred)., • Hands-on experience with Snowflake (preferred)., • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred)., • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred)., • Investment industry knowledge (preferred). Education Requirements • BS degree in Computer Science or Engineering.

Please apply here - https://findautumn.com/careers/full-stack-engineer About Us We're building the future of hotel software — an AI-Native Hotel OS that is redefining how hotels operate. We're replacing fragmented, clunky legacy systems and bloated back-office teams with an intelligent, unified platform. We've already proven strong product-market pull and have a fast-growing customer base across the US, Canada, and Mexico. We're a seed stage company backed by Tier 1 investors (led by Bessemer Venture Partners), and moving quickly to define a new category in one of the world's largest verticals. About the role We're hiring a full-stack engineer to join our founding engineering team. We lean heavily on AI tools to ship a lot of product, fast, and we have a substantial roadmap ahead of us. You'll work directly with the founders, own products and systems end to end, from ambiguous problem to shipped, reliable feature, and depending on the candidate, this role can evolve into an engineering leadership role quickly. Please apply sooner rather than later — we review applications as soon as they come in! What you'll do: • Ship across the full codebase: backend, frontend, integrations, and AI systems, • Architect and scale the platform as we expand into the full hotel operating system, • Help set the standards for reliability, security, observability, and engineering quality Our tech stack • TypeScript across the entire stack, • Backend: NestJS with PostgreSQL and TypeORM, • Frontend: React and Next.js with Tailwind CSS, • AI: Anthropic and OpenAI models via the Vercel AI SDK, voice with ElevenLabs, agentic workflows in production, • Infra: AWS and Vercel, Stripe for billing You don't need experience with every item on this list. Strong TypeScript and modern web fundamentals matter most; the rest can be learned here. Experience • Bachelor's in Computer Science, or an equivalent rigorous CS background, • 1–3+ years building and owning full-stack web apps end to end, • Prior startup or founding engineer experience is a strong plus Who You Are • Fluent in modern product engineering. You have built and operated production software using contemporary web, cloud, and data technologies. You learn unfamiliar systems quickly, stay current with the evolving technology landscape, and make pragmatic decisions about when to adopt, replace, or simplify tools., • AI-native in how you build. You are highly effective with AI-assisted and agentic development tools and know how to use them to improve engineering speed, quality, and leverage, not simply generate more code. You can establish thoughtful practices around context management, testing, code review, security, documentation, evaluation, and human oversight., • Comfortable at the earliest stages. You operate well with ambiguity, move quickly, and know when to introduce structure without slowing the team down., • An owner. You take a business problem and run with it, delivering high-quality solutions without micromanagement or granular requirements. Scrappy, resourceful, and proactive., • A strong communicator. You can articulate technical decisions and tradeoffs to non-technical stakeholders, in writing and in person. AI Systems Experience We're looking for someone who understands that production AI systems require more than model access and prompt engineering. Strong candidates will have experience with several of the following: • Building and evaluating LLM-powered agents and workflows, • Agent orchestration, tool use, retrieval, and context management, • Human-in-the-loop systems, permissions, guardrails, and failure recovery, • Observability, debugging, testing, and versioning for AI systems, • Managing the cost, latency, and reliability of nondeterministic systems, • Measuring the product and business impact of AI-powered workflows Nice to Have • Shipping AI-native products in real production environments, • Fast-growing startup experience: ship-fast culture, low bug tolerance, high ownership, • Vertical SaaS, marketplace, or workflow software experience, • Complex integrations and data-heavy systems, • Hospitality, travel, or adjacent industry experience What we offer • Founding team role — a key part of the technical team, with a front-row seat to how a top venture-backed, AI-native vertical SaaS company gets built, • Meaningful equity and a competitive salary, • Top-tier health coverage — medical, dental, and vision insurance, • Room to grow — leadership opportunities as you build skills and experience, • Autonomy and direct impact — technical ownership of the entire codebase and real influence on product direction and architecture, • Company perks — lunch and fitness stipends, complimentary snacks, and weekly happy hours Location This role is four to five days a week in person in New York City and candidates must be authorized to work in the United States.

About the Role We are seeking an experienced Software Engineer to join our engineering team responsible for building and maintaining both consumer-facing and internal back-office applications. In this role, you will develop scalable, high-performance systems that support Kashable’s consumer lending and employee benefits platform. This position involves working across the full technology stack—including backend Java development, database design, cloud and SaaS integrations, ETL processes, and modern front-end frameworks—while collaborating closely with senior engineers and cross-functional teams. The ideal candidate brings strong experience building large-scale enterprise applications, a solid understanding of object-oriented design and software development best practices, and a commitment to delivering reliable, high-quality code in a fast-paced, agile environment. Duties & Responsibilities • Develop and maintain highly performant, scalable subsystems and decision engine components that allow us to stay nimble in the fast-paced and evolving business of consumer lending and employee benefits, • Work across multiple layers of product infrastructure, including relational database development, low-level protocol integrations, ETL operations and automation, SaaS/PaaS cloud integrations, and frontend development. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential, • Execute architectural designs from Senior Engineers by writing efficient, reusable, and reliable source code in Java -- and other languages where applicable, e.g., SQL for RDBMS development, • Embrace best practices in software development (Code Reviews, Unit Tests, CI/CD) and leverage them every day Required Skills & Abilities • Proficient in Java, with a good knowledge of its ecosystems, • Solid understanding of OOP concepts and various design/programming patterns, including concurrency patterns, • Familiarity with Java Streams and Optional, • Familiarity with concepts of MVC, JDBC, CRUD/REST, and multi-tier architecture, • Familiarity with SCM tools, such as Git, • Familiarity with Spring and Hibernate, • Familiarity with build tools such as Ant, Maven, and/or Gradle, • Experience with relational database(s) and proficiency in SQL, • Experience with non-relational database(s) / NoSQL, • Experience with JavaScript and various front end libraries, or familiarity with front end frameworks, such as React, Angular or Vue, • Experience with Next.JS, • Familiarity with basic markup languages, such as HTML, XML, and JSON, • Familiarity with Unix/Linux operating system, • Experience with AI tools such as Claude, Cursor, ChatGPT, Grok or Gemini, • An appreciation for open and constructive dialog with your fellow team members Nice to Have: • Familiarity with basic integrative protocols, such as HTTP, FTP, SSH/SCP, JMS, SMTP, SMB, and JDBC, • Familiarity with basic security concepts, such as SSL/TLS, OAuth, encryption, • Familiarity with basic cloud concepts, such as AWS, GCP, and/or MS Azure, • Familiarity or proficiency with other programming languages, such as Python, • Familiarity with or proficiency with React Native/Expo development, • Familiarity with the TypeScript programming language, • Familiarity with Agile methodologies Work Location This is a hybrid position based in our New York City office. Education & Experience • BS Or MS in Computer Science or a related field., • 3+ years of experience in Software Engineering or related roles, preferably within FinTech or a regulated industry. The pay range for this position is $100,000 to $200,000 annually. Actual compensation will depend on experience, qualifications and job related skills. We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. Kashable is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other basis protected by applicable law. Kashable is not able to provide visa sponsorship for this role About Kashable Kashable is a fast growing, venture-backed FinTech startup headquartered in NYC. We provide inclusive, socially responsible, low-cost credit to American employees offered as a voluntary benefit through their employer. Kashable has raised over $400 million in capital, and has provided more than $1.5 billion in loans to working Americans across a footprint of employer clients that represent 4 million employees. We were founded in 2013 by a team of serial entrepreneurs with deep experience and expertise in the industry, and have since become the leading provider of financial wellness solutions at the workplace, catering to many Fortune 500 companies, governments, hospitals, and universities. We are a dynamic, ambitious, and hard-working team that is redefining financial wellbeing for working Americans. Perks & Benefits We offer a competitive salary, benefits, and perks designed to support both your professional growth and day-to-day wellbeing, including: • Medical, Dental (including Orthodontics), and Vision coverage, • PTO and paid holidays, • 401 (k) Plan with employer match, • Paid Parental Leave, • ClassPass subsidized membership, • Voluntary Life and disability insurance, • Commuter benefits, • Pet insurance, • Flexible Spending Accounts (FSAs), • Weekly catered lunch and fully stocked kitchen, • Team events, lunch & learns, happy hours, birthday celebrations, volunteer opportunities

Position: Forward Deployed Engineer Location: New York, New York Duration: Contract - Long Term Job ID: 178996 Job Overview: This is a highly embedded, client-facing engineering role. The individual will serve as a Forward Deployed Engineer, working directly with Fixed Income business users, technology teams, quants, operations, and control functions. The role involves identifying high-value AI use cases, translating business workflows into technical designs, and building production-grade AI solutions. This is not an advisory role; the successful candidate will be expected to work closely with the business, understand front-office and operational workflows, write code, test solutions, debug issues, and help move AI use cases from concept to controlled production adoption. The ideal candidate will combine strong software engineering skills, practical generative AI experience, and a consultative approach to working with senior business stakeholders in a regulated financial-services environment. Responsibilities: • Embed with Fixed Income teams in New York to understand business workflows, pain points, data availability, and AI opportunities., • Partner with traders, sales, research, operations, risk, compliance, and technology stakeholders to translate business requirements into AI-enabled solutions., • Design, prototype, and build generative AI applications using Python, OpenAI or Claude Agent SDK, and other agentic frameworks., • Develop AI solutions for Fixed Income use cases such as knowledge retrieval, workflow automation, document analysis, trade support, client intelligence, operational exception handling, and management reporting., • Build retrieval pipelines across structured and unstructured data, including research, policies, procedures, trade-related data, market commentary, client documents, and internal knowledge repositories., • Apply prompt engineering techniques to improve model accuracy, consistency, explainability, and user trust., • Design evaluation frameworks to test AI outputs for accuracy, completeness, hallucination risk, relevance, and compliance alignment., • Ensure solutions meet enterprise standards for security, data privacy, auditability, access control, and model governance., • Communicate technical trade-offs clearly to both engineering teams and business stakeholders., • Support user adoption by gathering feedback, refining workflows, and ensuring AI tools solve real business problems., • Identify reusable patterns, accelerators, and components that can be scaled across other financial-services use cases. Qualifications: • Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field, or equivalent practical experience., • Strong hands-on experience with Python and modern software engineering practices., • Practical experience building applications using Python, OpenAI or Claude Agent SDK, and other agentic frameworks., • Strong understanding of prompt engineering, including prompt design, prompt testing, grounding, context management, and output validation., • Experience building AI or data-driven applications that use APIs, databases, cloud services, and enterprise data sources., • Ability to work directly with business stakeholders, lead discovery discussions, clarify ambiguous requirements, and convert business problems into technical solutions., • Strong communication skills and the ability to explain AI concepts, risks, and design choices in clear business language., • Experience working in agile, fast-moving environments where prototypes must quickly evolve into production-ready solutions. Preferred Qualifications: • Financial-services experience, ideally within capital markets, Fixed Income, trading, sales, risk, operations, or banking technology., • Familiarity with Fixed Income products such as rates, credit, securitized products, municipals, FX, or derivatives., • Experience with retrieval-augmented generation, vector databases, embeddings, semantic search, and document intelligence., • Experience designing AI evaluation frameworks, including test datasets, quality metrics, human review loops, and model performance monitoring., • Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, and regulatory expectations in financial services., • Experience in a forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery role., • Exposure to cloud platforms, secure APIs, authentication/authorization, and enterprise integration patterns. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: • Pay any fee to be considered for, submitted to, or selected for any opportunity., • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process., • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $80.00 - $89.00/hr. on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations. sid.miller@ptrglobal.com

AI Architect, AI & Automation-Insurance About the Role The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience: • Experience architecting and implementing AI/ML solutions across multiple domains, including:, • Generative AI and Large Language Model (LLM) based solutions, • Predictive and prescriptive Machine Learning models, • Computer Vision, • Natural Language Processing (NLP) and Conversational AI, • Intelligent Document Processing (IDP / iOCR), • Agentic AI systems and multi-agent orchestration., • Worked across the end-to-end AI solution lifecycle: use case discovery, data assessment, solution architecture, model development, deployment, and monitoring., • Experience translating business problems into AI solution architecture using design thinking and structured problem-solving techniques., • Hands-on experience designing AI/ML platform architectures on cloud-native and hybrid environments (AWS, Azure, GCP)., • Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures., • Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines., • Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch., • Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI., • Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance., • Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures., • Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations., • Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation., • Travel to client sites and for practice work efforts is required on an as needed basis. Additional Consulting Responsibilities • Client Relationship and Development: Leads team interactions with clients, including clients at senior levels. Anticipates and proactively addresses client’s needs. Earns client’s respect and appreciation., • Client Delivery: Leads client delivery teams. Manages projects and drives projects to completion., • Value and Expertise: Establishes focus area and concentrates deployment and delivery in that area. Establishes track record in focus area. Begins to contribute thought leadership and IP in focus area., • People Development and Learning: Mentors and develops consultants on delivery teams. Ensures team members have skills needed to execute and deepen their expertise while on the project. Has counselees and meets them regularly. Helps them understand strengths and weaknesses, set realistic targets, and establish development plans that balance firm needs and personal aspirations., • Consulting Behaviours: Develops focus area or specialization. Builds personal brand. Leads and mentors others. Cares about development of junior consultants and invests in their progression. Grows Infosys network outside of Consulting. Leverages relationships with other Infosys units to enhance client solutions and identify new opportunities for Consulting work. Reads situations and adjusts personal approach accordingly. Adopts behavior and language appropriate to the situation, to stay effective in different environments. Stays abreast of market developments in practice or discipline. Identifies threats and opportunities and positions to meet them; proactively learns new skills and abilities to stay relevant., • Leadership and Firm Development: Leads delivery teams effectively, providing direction, guidance, motivation, course correction, and air cover as appropriate. Supports development of innovative thinking. Understands the Infosys Consulting business drivers and KPIs needed to build an effective and successful business. Represents Infosys through appropriate application of Infosys' sales and marketing materials/publications (service offerings, blog posts, etc.). Plays a key role in practice or firm-building activities. Takes bottom-line responsibility for firm building deliverables or activities., • Sales: Supports Associate Partners and Partners in pursuit and proposal work. Identifies opportunities from client work and relationships; raises them to appropriate Associate Partner or Partner for action. Basic Qualifications • Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or foreign equivalent required., • Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer), • Minimum of 10 years of relevant work experience with 2 years of experience in comparable consulting services., • Strategic mindset and the ability to lead and develop other team members., • Multitask, engage with stakeholders, plan effectively, and consistently achieve operational goals., • Excellent relationship-building abilities., • Ability to collaborate with resources in global delivery model., • Experience in leading programs using Agile and/or hybrid methodologies., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • MBA or equivalent advanced degree, Industry-related certification preferred., • Creative problem solver, • Strategic mindset and the ability to collaborate with other team members For candidates based out of CA, WA, NY, IL, MN,NJ states, estimated annual gross compensation range is $154,375 to $193,125 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- • Medical/Dental/Vision/Life Insurance, • Long-term/Short-term Disability, • Health and Dependent Care Reimbursement Accounts, • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal), • 401(k) plan and contributions dependent on salary level, • Paid holidays plus Paid Time Off EEO/About Us : About Us Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale. Infosys Consulting is helping some of the world’s most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to win market share and create shareholder value for lasting competitive advantage. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Description Please note that this posting is for a contract assignment and is not a full-time employment opportunity with Amazon. Candidates selected for roles will be employed as contract workers through Amazon’s approved 3rd party Direct Source provider for the duration of the specified project and will not be an employee of Amazon. As a Data Engineer on the Shopbop team you will routinely solve complex data problems, unblocking critical projects that drive Shopbop's mission to be "the daily destination for style inspiration and discovery." Whether you are optimizing analytics that help marketing tune their strategies, building new pipelines to speed up delivery, partnering with our Science team to deliver AI solutions, or helping accounting drill down to track our business: your work will empower meaningful change for your customers. You will partner closely with stakeholders across the business and with the Data Engineering team to deliver new features, or pitch in to migrate legacy features to a modern AWS-based platform. You will be an active partner in the broader Amazon data engineering community (Amazon is Shopbop's parent company), taking part in learning series and operational reviews with industry-leading engineers. Shopbop is part of Amazon Fashion, but with a unique vibe and mission to serve fashion-oriented customers. The data engineering team frequently collaborates with teams across the business, providing opportunities to learn about the fashion industry and e-commerce (and employee discounts). We are looking for a candidate willing to be in person at our New York office (JFK94). Key Responsibilities: You will own projects that build new data pipelines, modernize existing ones onto our AWS-based platform, or refine pipelines to deliver more value for our customers. You will partner with colleagues across Shopbop to understand their business domains and build solutions that meet their needs, including working with our Science team to bring AI solutions to production. You will also be an active participant on the Shopbop data team, driving improvements to the team's operational health and reducing errors for customers. And you will take part in Amazon's engineering culture, learning from and teaching alongside the best, while making the most of AI-powered tools to work more effectively. Some of your tasks will include: • Architecting, designing, and implementing next-generation data pipelines and BI solutions built on AWS, • Building and optimizing ETL processes to improve data quality, reliability, and freshness, • Leveraging AI-powered developer and data tools to boost your own productivity and code quality, • Partnering with business stakeholders to translate their needs into scalable data solutions, • Collaborating with the Science team to build data foundations for AI solutions and bring them into production, • Improving the team's operational excellence through monitoring, automation, and error reduction This posting is for a contract assignment with Tundra Technical Solutions to provide services to Amazon. The pay range that Tundra in good faith reasonably expects to pay for this position is $77.24/hour - $87.54/hour. Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, and a New Child Benefit. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Job Title: Machine Learning Engineer Location: NYC Firm Overview: Cantor Fitzgerald L.P., with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945. Cantor Fitzgerald & Co. is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and for its global distribution platform. Capitalizing on the firm’s financial acumen and technology prowess, Cantor’s portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. For 79 years, Cantor has consistently fueled the growth of original ideas, pioneered new markets, and provided superior service to clients. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations around the world. As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and solid relationship building. Our structure allows us to respond quickly to client needs, develop solutions that address complex challenges, avoid the limitations of bureaucracy, and attract talented individuals who are driven to succeed. ML Engineer We're looking for an early-career engineer to help build, evaluate, and improve AI-powered applications for a large-scale financial services business. It's best suited to someone with strong software fundamentals, hands-on experience with modern AI tools, and curiosity about how language-model systems behave in real products. Required Qualifications • Bachelor's degree in a technical field (computer science, machine learning, mathematics, physics, statistics, econometrics) or equivalent practical experience., • Experience contributing to production or production-like software, whether through work, internships, research, open source, or substantial personal projects., • Strong programming ability in at least one language, preferably Python, with clear, tested, maintainable code., • Experience working with web services, data integrations, testing, logging, and basic monitoring, across both structured and unstructured data., • Hands-on experience building with large language model (LLM) tools or frameworks — some mix of prompting, structured outputs, tool-calling, retrieval, or multi-step workflows — and awareness of common failure modes like hallucination, poor grounding, prompt sensitivity, cost, and latency., • Exposure to testing or evaluating LLM-powered applications: building test sets, reviewing failures, defining success metrics, and improving prompts or retrieval based on what you observe., • Practical grounding in machine learning, statistics, and experimental design, with the ability to reason about model behavior and learn from technical papers and documentation., • Strong communication skills, comfort working with product, engineering, and business partners, and interest in applying AI responsibly in financial services (privacy, security, human review, appropriate use of automation). Nice to Have • Familiarity with common agentic workflows and orchestration frameworks and with standards for connecting models to tools and data., • Familiarity with common evaluation and observability tools., • Exposure to human-in-the-loop workflows, guardrails, or responsible-AI practices for higher-stakes applications., • Familiarity with cloud deployment, containers, and modern release pipelines., • Awareness of fine-tuning methods and when they're worth using. Educational Qualifications: • Bachelor’s Degree required Salary: $140,000 - $160,000 The actual base salary will be determined on an individualized basis considering a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package (including health, vision, and dental insurance, paid time off and a 401(k) retirement), this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.). We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited.

Hybrid 4 in New York, NY Our client is seeking a senior full-stack developer at the SVP level to design and build core equities engineering services that power real-time trading workflows. The role focuses on backend Java, Spring Boot, distributed systems, and messaging with Kafka or MQ to drive scalability, latency, and resiliency. You will modernize legacy components into cloud-native microservices, integrate AI-assisted development practices, and mentor developers while delivering mission-critical enhancements and support. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $95.00 to $105.00/hr. w2 JN -052026-106972 Responsibilities • Design and build trading and messaging channels interfacing with venues and exchanges using industry-standard protocols., • Operate mission-critical systems and deliver day-to-day enhancements across front office and operations., • Design and develop core Java components leveraging messaging systems such as Kafka and MQ., • Coordinate and execute internal system testing procedures., • Collaborate across platform teams within a platform operating model., • Deliver and maintain applications within the equities domain with a focus on reliability and performance., • Provide second-level production support and troubleshoot issues under pressure., • Mentor junior developers and contribute to engineering best practices., • Re-engineer and modernize the platform toward scalable microservices and cloud-based architectures., • Drive migration and consolidation efforts for order management systems. Experience Requirements • 10+ years of software development with strong proficiency in Java, SQL, and Git., • 10+ years in business analysis and trading systems analysis or administration., • Strong experience with messaging and data protocols including Kafka and MQ; familiarity with FIX and FpML., • Proficiency with Spring, Spring Boot, and Spring Integration., • Proficiency in data standards and data modeling., • Comfort with cloud environments and DevOps practices including build, deploy, debug, and pipelines., • Familiarity with Windows and Linux environments., • Knowledge of equity products and instruments., • Familiarity with AI coding-assist tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code., • Experience operating distributed, real-time systems with a focus on scalability, latency, performance, and availability., • Production support experience with strong troubleshooting and debugging skills., • Experience with application profiling and performance tuning., • Experience with order management systems and smart order routing (preferred)., • Experience managing trade data feeds and downstream integrations (preferred)., • Understanding of equities trade life cycles (preferred)., • Understanding of the regulatory landscape from a developer perspective (preferred)., • Familiarity with Angular and Python (preferred)., • Experience with in-memory caching such as Hazelcast, Redis, or GemFire (preferred)., • Experience with monitoring and observability tools such as Splunk (preferred)., • Cloud architecture and scalability design experience (preferred)., • Hands-on FIX protocol experience (preferred)., • Strong communication and organization skills. Education Requirements • Bachelor’s degree in computer science or a related discipline, or equivalent work experience. Advanced degree preferred.

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™ Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team We are building a new, focused team within Tinder that feels a lot like a startup—nimble, efficient, and centered on building innovative features for the next generation of users. This role comes with a lot of ownership and visibility, as you’d be the founding Android engineer on the team and shape how we build the product, define architecture, and work closely with teams across the company to bring new ideas to life. You should be product- and user-oriented, and comfortable with autonomy and ambiguity. Where You’ll Work This is a hybrid role and requires in-office collaboration three times per week. This role is based out of our New York, NY office. In This Role, You Will • Lead the architecture design and implementation of consumer-facing features in the Tinder app, • Build compelling new in-app experiences that will reach tens of millions of users globally, • Coordinate with product and design teams and influence the roadmap and product development of the Tinder app and services, • Create and maintain internal shared frameworks and libraries, • Mentor, collaborate, and learn with innovative and passionate team members You'll Need • 8+ years of professional experience developing native iOS applications, • Extensive experience building applications using Swift, • Strong software design skills, including a deep understanding of design patterns (e.g., Clean / MVVM / VIPER, and the benefits of each) and dependency injection, • Understanding of design guidelines (i.e. you know how to be a good iOS citizen while maintaining a strong unique brand identity), • Clear communication style within a collaborative team environment, • The ability to combine good judgment, empathy, and technical skills Nice To Have • BS or MS in Computer Science or Engineering Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: _If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

Ambitious Full Stack Engineer (Backend Leaning) | Build From 0 → 1 | NYC The Opportunity Some engineers join a team. Others get in early enough to help shape what the team becomes. This is one of those opportunities. We're looking for an ambitious Full Stack Engineer with a strong backend focus who wants real ownership from day one — not "join a team and pick up tickets." You'll be joining one of NYC's fastest-growing start-ups, helping build and scale a product that's already operating at serious volume. Billions of interactions. Rapid growth. Serious backing. A product with genuine momentum. If you're hungry, technically sharp, and want to be one of the engineers helping shape what comes next, keep reading What You'll Do • Design, develop, and maintain software systems, • Collaborate with cross-functional teams to integrate technology solutions seamlessly, • Focus on back-end web development, including programming and debugging, • Implement scalable solutions, • Contribute to all phases of the software development lifecycle About You You're looking for the opportunity that could define your career. You've probably spent your spare time building side projects, launching apps, competing in hackathons or interning with ambitious start-ups because you genuinely love creating products. You enjoy solving difficult problems, learn incredibly quickly and thrive in environments where ownership is expected rather than given. You don't wait for instructions — you identify problems, propose solutions and make things happen. You'll ideally have a Bachelor's degree at a top university in Computer Science, Software Engineering or a related discipline, and be excited by the pace, responsibility and learning that only an early-stage company can offer. Required Technologies and Skills • 1–5 years of software engineering experience, • Strong software engineering fundamentals and Object-Oriented Programming (OOP), • Proficiency in TypeScript and PostgreSQL, • Experience building backend applications The Company This organisation is a fast-growing, red-hot technology firm that provides a platform connecting diverse users with commercial opportunities through authentic content. They are hitting startling numbers with billions of interactions and a client base growing quickly. Backed by major recent investment and already delivering exceptional growth, they're scaling at serious speed. They are a focused, high-IQ team who are prepared to do what is needed to get the job done. The team comes to the office every day and always achieves something before they head home. Why You Should Join This Job This is a company going places — fast. Backed by serious momentum, strong investment, and an ambitious vision, they're building something people genuinely believe in. The energy across the team is high and the talent density is exceptional. The people you'll work with could work anywhere, but they believe in this mission and have chosen to build here. Joining now puts you at the heart of that growth. As one of the early engineers, you'll have real influence on the product and the chance to accelerate your career massively. You won't just be another hire — you'll help shape the company. You will be well rewarded: strong compensation, meaningful bonuses, and equity are all on the table. Location Manhattan , NYC (Financial District). This is a full-time, on-site role working in the office, 5 days per week. Not based in New York? No worries — all expenses will be covered for interviews and meetings, and you'll be well supported by the team throughout your move to New York. The Money $130,000 – $200,000 + Bonus + Equity What You Should Do Now If you are a Software Engineer and would like to apply, click the link and send your resume. If you have questions about this job, please get in touch.

Immediate need for a talented Lead Machine Learning Engineer. This is a 06+months contract opportunity with long-term potential and is located in Newark, NJ(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-26966 Pay Range: $60/hr - $62/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: • Design, develop, and deploy ML models and Agentic AI solutions., • Build scalable cloud-based ML applications and data pipelines., • Develop and optimize MLOps processes, CI/CD pipelines, and model deployment frameworks., • Monitor model performance, governance, observability, and reliability., • Lead technical problem-solving and mentor engineering team members., • Develop applications using Python, C++, SQL, and modern AI frameworks. Key Requirements and Technology Experience: • Key skills; Traditional Machine Learning & Agentic AI, Expertise in MLOps, Model Deployment, and Cloud Engineering, Software Engineering & System Design, • Strong experience in Traditional Machine Learning and Agentic AI., • Expertise in MLOps, Model Deployment, and Cloud Engineering., • Solid background in Software Engineering and System Design., • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark/PySpark, and REST APIs., • Experience with CI/CD tools such as GitHub Actions, Jenkins, or Cloud Bees., • Strong understanding of data engineering, distributed systems, and AI lifecycle management., • Bachelor's degree in Computer Science, Engineering, or a related field., • Excellent problem-solving, communication, and collaboration skills., • Experience working in Agile development environments., • Total Experience- 14 years of experience, • Candidate should be within 40 miles of given work location. Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy _.

Job Title: IT/ Cybersecurity Engineer Location (on site vs remote): Onsite 5 days Duration: 6-12 Month Contract to Hire Address: 110 Algonquin Pkwy, Whippany, NJ 07981 Company background: They manufacture aerospace/defense actuation systems and serve commercial and military applications. They have a small local IT team supporting the one-site environment. • Role: Blended IT + Cybersecurity resource, not a pure cybersecurity role. They need someone who can support cybersecurity while also helping with backend IT/infrastructure and some user-facing support., • Experience: Open to ~3 years for the right hands-on candidate, but would prefer 5–7 years of experience., • Cybersecurity: CMMC Level 2 experience. They work with secure government-related information that needs to remain protected/separated. US citizen/person required., • IT responsibilities: Server/backend maintenance, upgrades, software updates, user-facing support, ID/access issues, printers, VPN, and general IT maintenance. CAT/CAC badge project is also part of the environment., • Environment: Small local IT team of 2, one site/one building. Most employees are onsite or work through VPN. Syteline is their ERP., • Candidate profile: They want someone proactive, hands-on and willing to learn the environment, rather than someone who is just waiting for tickets. They specifically want someone who brings a stronger sense of urgency and ownership., • Flexibility: If the cybersecurity workload is lighter at times, they would like someone who can step into a second hat and support broader IT needs. Position Summary The Information Security Lead is a dedicated, hands-on cybersecurity professional responsible for helping build, operate, and continuously improve the company’s internal security program. The role works across security operations, identity and access management, endpoint and network defense, vulnerability management, vendor risk, compliance, incident response, business continuity, and user enablement. Working closely with Information Technology, engineering, operations, and business teams, the Information Security Lead protects company systems and regulated information while supporting efficient business operations. This role is intended for a professional with broad information technology and security experience who can operate independently, coordinate across teams, and grow into a senior internal security role. Responsibilities Support day-to-day security operations, including alert triage in SIEM and EDR platforms, log review, threat monitoring, investigation, containment, escalation, and incident-response activities. Administer identity and access management controls, including SSO, MFA, Active Directory and Microsoft Entra ID, privileged access, and joiner, mover, and leaver processes; conduct periodic access reviews and remove stale accounts and unnecessary entitlements. Maintain and improve endpoint security across the company’s technology environment, including EDR health, patch management, configuration baselines, software control, disk encryption, and remediation of exceptions. Perform and coordinate network security activities, including firewall and access-control-list reviews, VPN administration, segmentation, secure configuration, wireless security, and monitoring for misconfigurations and unauthorized activity. Operate the vulnerability management program by performing or coordinating scans, prioritizing vulnerabilities based on business risk and exposure, assigning remediation to system owners, validating closure, and reporting trends and metrics. Support cybersecurity incident response, disaster recovery, and business continuity planning, including exercises and testing designed to restore critical business systems within established recovery objectives. Support compliance with applicable customer, contractual, and regulatory requirements, including CMMC, DFARS, ITAR and other U.S. export controls, and, where applicable, NIS2, Cyber Essentials, Cyber Essentials Plus, CMS, DCPP, ISO/IEC 27001, GDPR, and customer-specific information-security requirements. Collect and maintain audit evidence; develop and maintain policies, procedures, system security plans, plans of action and milestones, risk registers, data-flow diagrams, network diagrams, control documentation, and recurring compliance records; support customer questionnaires and internal and external audits. Support third-party and supplier risk management by reviewing security documentation, assessing risks, tracking remediation and risk acceptances, and monitoring relevant service-provider controls. Develop and deliver security awareness and role-based training, phishing simulations, onboarding content, and practical guidance on reporting suspicious activity, protecting CUI and FCI, and responding to security events. Serve as a knowledgeable point of contact for employee security questions, suspicious emails, lost devices, access requests, and other security concerns. Research, recommend, implement, and document security technologies, standards, configuration baselines, processes, and runbooks so the security program scales with the company. Coordinate effectively with internal teams, external service providers, assessors, and other stakeholders, and participate in an on-call rotation when needed. Perform other tasks as assigned. Required Education and Experience • Bachelor’s degree in cybersecurity, information systems, computer science, or a related discipline, or an equivalent combination of education and relevant experience., • At least three years of experience in information security, information technology operations, or a closely related field, with hands-on exposure to multiple security domains., • Working knowledge of SIEM, EDR, vulnerability scanning, identity providers, cloud platforms, and security tools such as CrowdStrike Falcon, Tanium, ThreatLocker, Microsoft Entra ID, or equivalent technologies., • Strong fundamentals in networking, Windows operating systems, Active Directory, Microsoft 365, authentication protocols, endpoint management, firewalls, VPNs, and secure system configuration., • Practical knowledge of CMMC requirements and the protection of Controlled Unclassified Information and Federal Contract Information; familiarity with DFARS, ITAR, export-control obligations, NIST guidance, and ISO/IEC 27001 or comparable security frameworks., • Strong written and verbal communication skills, including the ability to explain security risks and requirements to non-technical audiences and produce clear policies, procedures, audit evidence, and management reporting., • Ability to work independently, manage competing priorities, coordinate across departments, and use sound judgment in a fast-moving environment., • Industry certification such as CISSP, CISM, CISA, CRISC, CCIE, CCNP Security, CompTIA Security+, Network+, or a comparable credential, or the ability to obtain an agreed certification within a defined period., • Willingness to participate in an on-call rotation and support systems outside normal business hours when necessary., • Because this position requires access to U.S. export-controlled hardware, technical data, software, or information, employment is contingent on the individual being legally eligible for the required access under applicable U.S. export-control laws and company procedures. Any required authorization or license must be in place before controlled access is granted., • Legal authorization to work in the United States is required. The company will not sponsor employment visas now or in the future for this position. Preferred Qualifications • Experience supporting or leading internal, customer, regulatory, or certification audits and managing remediation through closure., • Experience in a defense, aerospace, manufacturing, or other regulated environment that handles CUI, FCI, or export-controlled information., • Experience with cloud security posture management and Microsoft GCC High or other regulated cloud environments., • Familiarity with offensive security concepts, penetration-test findings, attack-path analysis, and related tooling., • Experience developing and testing incident-response, ransomware-recovery, disaster-recovery, and business-continuity plans., • Experience coordinating managed security service providers, security consultants, assessors, and third-party review partners. Physical Requirements • Some lifting of computer equipment is required for diagnosis, setup, and installation., • Frequently positions self to maintain computers in the lab, including under the desks and in the server room., • Ability to operate office equipment including computers and determine accuracy of work., • While performing the duties of this job, the employee is regularly required to remain in a stationary position for a significant period and maneuver around the facility as needed., • Manual dexterity, which allows the individual to use hands to type on a keyboard, use a mouse and write are required., • Specific vision abilities required by this job include close vision., • Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Client Overview Our client is a technology and services organization focused on helping higher education institutions modernise their operations, expand online learning, and deliver better experiences for students and educators. The organization develops AI-powered SaaS solutions that streamline workflows, connect critical systems, improve efficiency, and provide actionable data to academic institutions. Our client is seeking a Lead Software Engineer to provide technical leadership across a growing suite of enterprise SaaS applications. Salary/Hourly Rate $120k - $140k Position Overview The Lead Software Engineer will provide technical leadership across a growing suite of enterprise SaaS applications. The Lead Software Engineer will work closely with product and technology leadership to shape engineering strategy, design scalable solutions, introduce AI-powered development practices, and build agentic systems that integrate with existing products. This role is ideal for a hands-on Lead Software Engineer who combines strong software development expertise with strategic thinking, technical mentorship, and team leadership. The Lead Software Engineer will help establish engineering standards, improve software quality, guide technology decisions, and support the continued evolution toward scalable and serverless cloud infrastructure. Responsibilities Of The Lead Software Engineer • Lead technical strategy, architecture, and engineering initiatives across enterprise applications., • Partner with product leadership on prioritisation and enterprise-level feature design., • Define and document engineering policies, standards, and development best practices., • Identify and implement AI engineering tools to improve development efficiency., • Design and implement agentic systems using modern AI frameworks and technologies., • Provide technology recommendations and technical guidance to engineering teams., • Audit existing products and processes and recommend improvements., • Establish and lead code reviews, automated testing, CI, and QA practices., • Support high-level technical design, project planning, and implementation., • Help scale applications while advancing serverless cloud infrastructure where appropriate., • Mentor engineers and provide technical and career development guidance., • Support hiring recommendations, resource allocation, and project prioritisation., • Collaborate effectively across Product, UX, QA, Release, and Technology teams. Required Experience/Skills For The Lead Software Engineer • 5-8 years of professional software engineering experience., • Strong experience with multiple programming languages and modern frameworks., • Experience with Python, NodeJS, ReactJS, Bootstrap, and/or ANT Design., • Experience designing and implementing agentic systems and AI-powered solutions., • Hands-on experience with frameworks such as LangGraph, LangChain, LangFuse, or OpenAI Agents SDK., • Strong experience with AWS cloud services and serverless technologies., • Experience with AWS Lambda, SNS, API Gateway, and EC2., • Experience with PostgreSQL and/or AWS Aurora., • Experience with GraphQL and AWS AppSync., • Strong understanding of automated testing, code reviews, CI, and software quality practices., • Experience working in Agile software development environments., • Proven experience managing complex projects from conception through implementation., • Strong technical leadership, communication, stakeholder management, and team coaching skills., • Ability to influence technical decisions across engineering and product teams. Preferred Experience/Skills For The Lead Software Engineer • Experience with Golang., • Experience scaling enterprise SaaS applications., • Strong understanding of serverless architecture and cloud-native development., • Experience leading engineering teams and mentoring software developers., • Experience using AI tools to improve software development workflows., • Experience collaborating across Product, UX, Quality, and Release teams., • Strong client engagement and relationship management experience., • Experience working in rapidly changing, collaborative environments., • Familiarity with Google Workspace, including Docs, Slides, and Sheets. Education Requirements • Bachelor's degree in Computer Science, Engineering, or a related field preferred., • Equivalent professional experience will be considered. Benefits • Hybrid work environment with NYC office and remote flexibility., • Company-provided computer and charger., • 401(k) with company match., • Equity opportunities., • Medical, dental, and vision insurance., • Mental health benefits., • Employer-paid life and disability insurance., • Supplemental insurance options., • Health Savings Account and Flexible Spending Accounts., • Commuter benefits and pre-tax benefit options., • Employee Assistance Program., • Paid parental leave., • Wellness programs and resources., • Paid vacation, holidays, and sick leave., • Monthly mobile connectivity stipend., • Annual education and professional development stipend., • Employee discount program., • Career growth and development opportunities.

JOB TITLE: AI Principal Engineer REPORTS TO: Engineering & Product Leadership, Silverside.AI Role Type: Full-time hybrid; contract-to-hire with a 30-day mutual evaluation period Location: New York, NY (hybrid, regular in-office presence) Position Summary Silverside.AI is seeking an AI Principal Engineer to own architecture and technical direction for its New York engineering pod. This is a hands-on architecture and leadership role focused on designing, building, and scaling the applications and pipelines that power Silverside's AI-driven video and content production systems and agentic workflows. The ideal candidate is a strong senior technical individual contributor, roughly 4–7 years of professional experience, who has already begun mentoring others, designs systems with real architectural conviction, and communicates effectively in client and internal meetings. Prior VP or extensive people-management experience is not required; this is an opportunity for a high-potential senior engineer to step into formal technical leadership of a high-performing contractor pod while remaining deeply hands-on. The AP Principal Engineer will set technical direction for a team of senior full-stack developers, drive modular system design, and help shape the product roadmap for the Silverside Experience Engine. Essential Duties & Responsibilities • Own architecture and technical direction for the Silverside New York engineering pod, providing clear system design, hands-on mentorship, code reviews, and day-to-day technical oversight so the team delivers high-quality work aligned with product and company goals., • Architect and build scalable full-stack applications, with a strong emphasis on robust backend systems (Python / FastAPI and related modern frameworks), that power AI-driven video and content production pipelines and agentic workflows., • Break complex AI production and agentic workflow challenges into clean, modular, maintainable systems for generation, processing, optimization, and delivery., • Integrate AI/ML models, fine-tuned image and video models, generation APIs, and proprietary workflows into reliable production pipelines., • Set and enforce development standards, testing practices, and deployment discipline across the pod., • Collaborate closely with product, design, and engineering peers to ship full applications and continuously improve AI content systems and internal tooling., • Optimize performance and scalability for high-volume video and media processing workloads., • Troubleshoot and resolve issues in live production environments with urgency and clarity., • Contribute directly to Silverside's growing AI content and agentic workflow ecosystem supporting major enterprise clients., • Present technical architecture, system design decisions, and solution approaches with clarity and confidence in internal roadmap discussions and, when needed, in client or partner meetings., • Partner with C-suite and product leadership on technical prioritization and the evolution of the core platform. Other Duties and Responsibilities • Provide meaningful, though not primary, client-facing technical presence as needed to support sales, partner, or account conversations. Required Knowledge, Skills, and Abilities • Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience., • 4–7 years of professional full-stack development experience, with meaningful hands-on work building production systems involving AI, machine learning, creative media, video, or content generation pipelines., • Strong backend proficiency in Python and modern frameworks (FastAPI, Flask, or Django), with experience designing and operating scalable APIs and services., • Solid secondary frontend skills in contemporary frameworks (React, Svelte, or similar) sufficient to collaborate on and occasionally contribute to user-facing AI tools and interfaces., • Demonstrated ability to design modular, maintainable systems and to discuss architecture with clarity and genuine passion., • Hands-on experience integrating AI/ML models or generation APIs into production workflows, ideally in creative, media, or video contexts., • Experience mentoring or coaching other engineers and raising the bar on code quality, testing, and engineering practices., • Strong written and verbal communication skills, with comfort presenting technical ideas to both technical and non-technical stakeholders, including in client or sales-adjacent settings., • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and modern deployment practices., • Preferred (Nice-to-Have), • Experience with video/media tooling such as FFmpeg, OpenCV, or cloud rendering services., • Prior work in creative industries, AI-generated content, marketing technology, or enterprise digital production environments. Physical Demands • n/a Salary & Benefits: For candidates in New York, the base salary range for this role at the time of posting is $200,000 to $225,000. For candidates in smaller, mid-Atlantic markets, the base salary range for this role at the time of posting is $170,000 to $220,000. The salary an employee or prospective employee is paid within this range will depend on factors such as but not limited to: internal compensation of current employees in similar roles, market considerations, budgetary considerations, level of responsibility, background, experience, and qualifications. Full-time employees enjoy a competitive benefits package for you and your dependents to ensure a healthy lifestyle. Our benefit offering includes: medical, dental, vision, basic and supplemental life & AD&D, 401(k) with company match, short-term and long-term disability, HSA, and FSA. Additional Information: Silverside AI is an Equal Opportunity Employer and participant in the US Federal E-Verify program. At this time, we are not accepting resumes or candidates from third-party vendors.

JOB SUMMARY Mid-Level Mechanical Engineer to drive design, design verification, manufacturing scale-up, automation, continuous improvement, and sustaining engineering initiatives. Operating within an ISO 9001 quality management system for diagnostics and medical devices, this role bridges the gap between R&D and production. The Sr. Engineer will own design transfers, optimize manufacturing performance, solve complex technical problems independently, and contribute directly to new product development. Working in a fast-paced CDMO environment, they will collaborate cross-functionally to improve product quality, reduce costs, and support strategic client initiatives from concept to commercialization. ESSENTIAL DUTIES AND RESPONSIBILITIES • Leads design and development of moderately to highly complex diagnostic sub-assemblies and modules (e.g., fluidic cartridges, optical interfaces, electromechanical systems), owning execution from concept through verification and design transfer with minimal supervision., • Design diagnostic sub-assemblies and modules like fluidic cartridges, optical interfaces, and electromechanical systems from concept through design transfer using SolidWorks., • Apply advanced GD&T and perform tolerance stack-up analyses to ensure high-yield manufacturing and proper component fit., • Perform engineering analyses including structural, thermal, fluidic, and FEA, validating results through hands-on prototyping., • Own technical decisions within assigned scopes, balancing trade-offs between performance, cost, manufacturability, and quality standards., • Implement manufacturing automation and continuous improvement initiatives to increase throughput, optimize processes, and reduce production costs., • Support production lines by troubleshooting daily technical issues to improve line efficiency and on-time delivery., • Lead root cause analysis (RCA) for component or process failures and implement robust corrective/preventive actions., • Manage engineering changes seamlessly from initial identification through final production release., • Develop and execute verification and validation (V&V) plans, including hands-on testing of fluidic and electromechanical systems., • Maintain documentation and Design History Files (DHF) in strict compliance with ISO 9001 and client quality standards., • Interface with customers directly through regular technical meetings, milestones, and design reviews., • Collaborate with suppliers to resolve technical fabrication issues, source components, and ensure part quality., • Work as directed by manager. Health & Safety: • Report and take required action regarding injuries, incidents, medical, and accidents required by policy., • Make the health, safety, protection of rights, and the development of all employees your primary responsibilities., • Effectively manage medical and first aid emergencies., • Follow all agency safety/medical related policies and procedures., • Follow fire evacuation and disaster procedures correctly and in a timely manner., • Report unsafe situations immediately; ensuring safety is imperative., • Ensure pertinent emergency telephone numbers are readily available., • Report symptoms and signs of communicable diseases immediately., • Consistently use universal precautions., • Report any incident that could potentially result in negative reactions from the community, law enforcement officers, and other agencies to the supervisor immediately. EDUCATIONAL REQUIREMENTS, QUALIFICIATIONS, and TRAININGS • Bachelor’s degree in mechanical engineering or a related technical discipline., • Experience: 5–8 years of progressive engineering experience, ideally within a regulated product environment., • CAD Expertise: Proficiency in SolidWorks for component and assembly design., • GD&T & Tolerance Analysis: Strong expertise in geometric dimensioning and tolerancing, including complex tolerance stack-up analysis., • Quality Systems: Solid understanding of ISO 9001 requirements, design controls, and maintaining Design History Files (DHF)., • Engineering Operations: Practical experience managing engineering changes via ECO/ECN workflows., • Problem Solving: Demonstrated experience leading root cause analysis (RCA) and implementing corrective actions (CAPA)., • Testing & Validation: Hands-on experience developing and executing engineering verification and validation (V&V) plans., • Process Optimization: Ability to independently develop, improve, and standardize engineering and manufacturing processes., • Communication: Strong communication skills with a proven ability to present technical data clearly to managers and clients. Preferred Qualifications • Advanced Degree: Master’s degree in mechanical engineering or a related technical discipline., • Automation Elements: Hands-on experience working with stepper motors and PLC systems., • Industry Experience: Prior experience in contract manufacturing (CDMO) or ISO 9001 medical/diagnostic device environment., • Specialized Systems: Practical experience with fluidics, microfluidics, or precision piston pump technologies., • Prototyping & Fabrication: Hands-on experience working in a machine shop environment., • Testing & Tools: Experience in test method development and using Python coding for engineering data analysis., • Professional Certifications: Lean Six Sigma Green Belt, PMP, or equivalent continuous improvement certifications. COMPUTER AND SOFTWARE REQUIREMENTS • Microsoft: Office 365; SharePoint; Teams; Visio; and OneNote preferred., • Epicor experience preferred., • Ability to operate media equipment such as tablets, smartphones, and other electronic equipment., • Ability to work with general office equipment., • Ability to work with and understand databases a must and the ability to learn technical skills. PHYSICAL REQUIREMENTS & WORK ENVIRONMENT • Shall have essential physical skills; be able to run, squat, stoop/bend, kneel, climb stairs, be able to lift at least 50 pounds (or ¼ own body weight)., • Shall have adequate vision, reading, writing, and documentation skills, and hearing to perform the essential functions of the job., • Must have enough endurance to perform tasks over long periods of time., • Will be engaged in speaking, sitting, walking, driving, listening, and in communicating both orally and in writing while performing his or her duties., • Must be able to listen and respond to questions and instructions. The qualifications, physical demands, and work environment described herein are representative of those an employee will encounter and must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. Arcmed is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. The above noted job description is not intended to describe, in detail, the variety of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change, so, too, may the essential functions of this position.

About the Company: Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies. Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation. Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed. To know more please visit: _ Position Overview: Looking for an SAP S/4HANA QA Automation Engineer to support test automation activities for an upcoming SAP upgrade. The resource will work with the existing Panaya testing platform to parameterize test scripts, configure test data, integrate individual test recordings and steps into complete end-to-end test scenarios, and prepare scripts for execution during upgrade testing. Key focus: A hands-on SAP QA resource who can take individual test recordings and scripts, parameterize and assemble them into complete, reusable, end-to-end test scenarios that are ready for execution during the SAP upgrade. Required Skills: • Hands-on experience in SAP S/4HANA testing and business process validation., • Experience with Panaya test automation, preferably in script parameterization and test preparation., • Ability to create, modify and maintain test scripts and combine individual recordings into end-to-end test scenarios., • Experience in test data preparation, functional testing and regression testing., • Knowledge of SAP upgrade testing and defect troubleshooting., • Familiarity with AI-assisted coding tools such as Cursor to accelerate test script development. Education: • Bachelor’s degree in computer science, Information Technology, or a related field., • Equivalent work experience may be considered in place of formal education. Location: Plano, TX (Onsite - Work from Office ) North America Job Type: Contract / Fulltime EverestDx is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Founding Engineer (Product and AI Agents) | New York, NY I am recruiting on behalf of a YC-backed seed-stage startup building the AI-native operating system for restaurant back-of-house. They are hiring a founding engineer to work as a second technical co-founder. About the company Restaurants still run on spreadsheets, clipboards and disconnected tools. This company replaces that stack. Computer vision and voice AI capture inventory 90% faster than manual counts, ML models forecast item-level demand at about 97% accuracy, and AI agents run workflows end to end, including procurement, invoice reconciliation, scheduling, prep and menu engineering. Founded in 2026, the team is fewer than 10 people in NYC. In under four months they signed 150+ restaurants across the US, Canada and Europe, and they have grown 25% week over week for three months straight. The role The company is deploying at scale and the CTO is currently the single technical point of failure. You will take big, vague problems and drive them to done. You will shape the roadmap, speak directly with customers, help sell the product and have a voice in strategy from day one. Some customers have custom workflows, so you may own those directly. What you will work on • Own the agent harness: context management, orchestration, persistent state and human-approval flows for agents handling real money, • Solve hard data problems: POS, accounting and payroll integrations, background jobs and pipelines that produce clean ground truth, • Make agents dependable: evals built from real operator workflows, failure tracing, recovery and escalation, and model choices based on production evidence, • Own the full lifecycle from order to the interface a manager approves it in, across backend services and React, • Help build early roadmap items, including payments infrastructure and a proactive assistant for restaurant managers What we are looking for • 1 to 3 years of experience, AI-native, with a product engineering (React) and/or LLM and agentic applications focus, • Strong fundamentals in Python or JS/TS, and willingness to become productive in both, • Tool-using agents shipped to production, with the ability to discuss harness design, evals and failure modes in depth, • Experience with LangGraph, LangChain or LangSmith, RAG, SQL and NoSQL data modeling, and sound judgment on agent loop versus deterministic workflow, • Something substantial you have built, and you can explain the architecture, trade-offs and what you would change, • Founder mentality: you have founded something, want to, or cannot stop building, • Strong product taste and attention to messy details, • Clear communication and comfort working directly with customers, • Early startup experience at a fast-scaling company is strongly preferred Tech Stack GCP, distributed systems, NoSQL, event-driven architecture, REST APIs, React, Python and TypeScript. If you want to know more about this role, please apply below and I will be in contact to discuss the role further.

U.S. citizenship is required for this position. Candidates must be eligible to obtain and maintain a U.S. government security clearance. An active Top Secret/SCI clearance is preferred but not required. PREDICTION is building advanced AI systems for national security. We are looking for an exceptional Founding AI Research Engineer to join our core technical team and help define the AI research direction of the company. This is a hands-on research and engineering role for someone who wants to work on difficult, real-world AI problems across video, imagery, text, sensors, structured data, and other signals. We are not looking for someone who simply connects existing APIs. We are looking for someone who can understand difficult machine learning problems, design new approaches, run rigorous experiments, build models, and turn successful research into systems that operate in the real world. The level is flexible. We are interested in exceptional candidates ranging from outstanding early-career researchers to Senior, Staff, and Principal-level engineers. What You’ll Work On • Multimodal AI and reasoning, • Computer vision and video understanding, • Vision-language models and foundation models, • Temporal reasoning and long-term context, • Sensor fusion and multimodal data fusion, • Behavioral understanding and anomaly detection, • Object detection, tracking, and representation learning, • Agentic AI systems, • Model evaluation, calibration, robustness, and uncertainty, • Training, fine-tuning, post-training, and optimization, • AI systems operating in secure, edge, and mission-critical environments What You’ll Do • Research and develop new AI capabilities from idea through deployment, • Design and test new multimodal architectures and approaches, • Train, fine-tune, benchmark, and evaluate deep learning models, • Build systems that reason across multiple types of data simultaneously, • Develop methods for video understanding and temporal reasoning, • Implement and evaluate ideas from current AI research, • Design rigorous experiments and evaluation methodologies, • Investigate model failures and improve reliability, accuracy, and robustness, • Rapidly prototype new ideas and turn successful research into production systems, • Work closely with engineers and national security professionals on real operational problems, • Help define PREDICTION’s long-term AI research and technical direction Who We’re Looking For We care more about exceptional technical ability than titles or years of experience. You may be completing a PhD. You may already be a senior researcher or engineer. You may have spent years publishing research, or you may have spent those years building exceptional systems. What matters is what you can build, discover, and demonstrate. Strong candidates will have deep experience in one or more of the following: • Machine learning and deep learning, • Multimodal learning, • Computer vision, • Video understanding, • Vision-language models, • Transformers and foundation models, • Temporal modeling, • Representation learning, • Sensor fusion, • Agentic systems, • Reinforcement learning or post-training, • Model evaluation and calibration You should have strong Python skills and significant experience with modern deep learning frameworks such as PyTorch. You should also be comfortable reading research papers, understanding the underlying ideas, implementing them, identifying weaknesses, and developing better approaches. What Will Get Our Attention We want to see evidence of exceptional technical work. That could be: • Research published at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, KDD, or another leading venue, • A model or ML system you designed and built, • An exceptional open-source project, • A technically difficult system deployed in the real world, • Original research with meaningful results, • A GitHub repository that demonstrates exceptional engineering ability, • Experience at a leading AI lab, technology company, national laboratory, or advanced research organization A PhD is valuable, but it is not required. Why PREDICTION At PREDICTION, you will not be one researcher among hundreds. You will join a small technical team where your work can directly influence the models, architecture, research agenda, product, and direction of the company. PREDICTION is a New York-based U.S. technology company building advanced AI systems for national security. The company was built alongside senior leaders from the U.S. federal government, Intelligence Community, and law enforcement, together with engineers and researchers from leading technology and academic institutions. We are looking for exceptional people who want significant technical ownership and the opportunity to solve problems that matter outside of a benchmark.

About Koop.ai Koop.ai secures and insures mission-critical operations across AI, robotics, defense, and other frontier industries. Koop brings contractual requirements, regulatory compliance, cybersecurity, incident response, and liability insurance together into one integrated platform so teams can meet customer requirements faster. About the Role You will be a software engineer working across the stack and on the Koop product portfolio, building in golang, node, TS, python, and with AWS services. You will build the APIs and user-facing experiences powering the next generation of insurance underwriting, claims, and compliance software for our customers, and you will build LLM powered features for insurance, compliance, and LLM safety. Responsibilities • Work across the stack, from golang APIs and data models through the customer-facing UI, • Develop and ship go APIs for underwriting and claims workflows, • Build LLM powered features for insurance, compliance, and safety, • Own services development end to end from design through deployment About You You are motivated to work in a fast paced, less structured environment with room for growth. You enjoy taking ownership and responsibility, and having the freedom to execute and build the way you think is best. Want a hybrid work environment, with in office collaboration, and remote flexibility. Qualifications and Requirements • Degree (B.S. or M.S.) in Computer Science or a related field, • Experience developing in golang and building user-facing web applications, • Must be comfortable using git, CLIs, unix based systems, and docker, • Experience with distributed systems, AWS, or building on LLM APIs are strong pluses Compensation and Benefits • $140,000 to $180,000 per year, plus equity, depending on experience and qualifications., • Medical, dental, vision, and life insurance covered, • MacBook Pro and any other equipment you need, • No relocation is available for this position

Senior AI Software Engineer (Full Stack) At Dioptra, we're transforming the way enterprises do business by turning contracts into structured business intelligence that powers enterprise systems. We're accelerating that vision by combining industry-leading AI technology with a world-class engineering team. As an early member of the Dioptra team, you'll work alongside the founders who built one of the industry's most advanced contract AI platforms and help define the future of enterprise legal technology. This is an opportunity to work on cutting-edge AI agents, influence product direction, and solve complex technical challenges in a rapidly growing market. About the Role We're looking for a Senior AI Software Engineer to help build the next generation of AI-powered contract intelligence products. You'll collaborate closely with engineering, product, and design teams to architect, develop, and scale intelligent applications that combine modern AI capabilities with enterprise-grade software engineering As one of the early engineers on this team, you will • Design, build, and maintain Agentic AI-powered applications across the full stack, • Develop intelligent workflows using modern agentic frameworks, • Architect scalable backend services and user-facing applications, • Build reliable integrations with enterprise systems and cloud infrastructure, • Drive engineering best practices, technical strategy, and architectural decisions, • Define success metrics and continuously improve product performance, • Partner directly with leadership and product teams to deliver customer value, • Take ownership of major technical initiatives from concept through production Required Qualifications Experience • 4+ years of professional experience building AI-powered software products (8+ years preferred for senior candidates), • Experience working in a SaaS startup or other fast-paced product environment, • Proven ability to thrive in ambiguous, rapidly evolving environments., • Daily experience using AI-assisted development tools such as Cursor, Codex, or similar Technical Skills • Strong proficiency in Python, • Experience with SQL and relational databases (PostgreSQL preferred)., • Hands-on experience building applications using LLMs from OpenAI, Anthropic, or similar providers., • Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, or AutoGen, • Experience designing and deploying production AI applications., • Familiarity with CI/CD pipelines, Git, and modern software development practices, • Experience with containerization and cloud platforms, including Docker, Kubernetes, AWS, Azure, or Google Cloud Platform, • Understanding of LLM evaluation, monitoring, and observability., • Experience training or fine-tuning models is a plus. Education • Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience. What We're Looking For Successful candidates will demonstrate: • A product mindset with the ability to balance speed and quality, • Comfort owning complex technical challenges with minimal direction, • Excellent collaboration and communication skills., • A desire to make a significant impact as part of a small, high-performing team Pluses We're especially interested in candidates who have: • Built and shipped production AI applications, • Worked at high-growth startups, • Experience across both backend and frontend development., • A track record of driving technical initiatives and mentoring other engineers Why Join Dioptra? • Work directly with the founders behind one of the industry's leading AI contract platforms, • Build state-of-the-art AI agent technology used by enterprise customers, • Own meaningful technical decisions and influence product direction., • Join a small, highly collaborative team with significant autonomy., • Help shape the future of enterprise AI and contract intelligence.

Applications accepted until October 31st 2026 Summary: We are seeking a Senior Engineer to design, build, and support solutions across global merchandising technology platforms. This role is responsible for delivering high-quality solutions, owning key application areas, and contributing to technical direction. This role works across a dual legacy and modern environment, supporting existing systems while contributing to modernization, optimization, and platform evolution. Technology Delivery & Execution: • Design, develop, and maintain applications and services supporting merchandising capabilities • Deliver enhancements, integrations, and defect resolution across platforms, • Contribute to development and integration of AI/ML-driven features within applications and services • Utilize AI-assisted development tools (e.g., Copilot) to improve coding efficiency and quality • Ensure solutions meet performance, scalability, and reliability requirements, • Participate in system monitoring, support, and incident resolution Core Platforms & Capabilities: • Own and support a set of applications or capabilities, which may include:, • Planning (allocation, assortment, MFP), • Pricing, promotion, and markdown, • Core merchandising and item/product systems, • Inventory, replenishment, and size/pack optimization, • Support and enhance legacy platforms while identifying opportunities for improvement and modernization Engineering Practices: • Follow engineering best practices for coding, testing, and deployment, • Demonstrate proficiency across multiple technologies and languages, adapting to different systems and platforms as needed • Contribute to code reviews and ensure adherence to standards, • Build and maintain integrations using APIs, messaging, and data pipelines, • Support CI/CD pipelines and automation efforts Execution & Collaboration: • Work with cross-functional teams to deliver projects, enhancements, and fixes, • Collaborate across onshore/offshore teams and time zones, • Participate in agile ceremonies including sprint planning and retrospectives, • Communicate technical solutions clearly to business and technical stakeholders Modernization & Improvement., • Contribute to efforts to refactor, migrate, or replace legacy systems, • Identify opportunities to improve system performance and maintainability, • Help drive simplification and consolidation of technology platforms Required Qualifications: • Bachelor’s degree in Computer Science, Engineering, or related field, • 5–8 years of experience in application development and support Preferred Qualifications: • Experience with enterprise platforms and distributed systems, • Strong experience with APIs, integration technologies, and databases, • Experience working across legacy and modern environments, • Familiarity with data-driven and AI-enabled solutions, with interest or experience in applying machine learning or intelligent automation in enterprise environments • Experience with cloud platforms, CI/CD, and DevOps tools, • Strong analytical and problem-solving skills, • Experience working in global, distributed teams Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment. EEO Statement: Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

The Role We are looking for a full-stack software engineer to build software to efficiently manage microgrids and other distributed energy resources. This is a great role for someone looking to build software that will change the future of the energy industry. You will report to our Director of Software Engineering and will work a hybrid schedule in our New York City office (Union Square area). Key responsibilities will include: • Front-end development: build web applications with modern, interactive UIs for operators and customers, • Architect and maintain high-performance backend services and APIs (FastAPI, PostgreSQL) to support real-time microgrid operations, telemetry data pipelines, and optimization workflows at scale, • Develop and enhance financial modeling features, building reliable calculation engines and data integrations that support portfolio-level analysis and investment decision-making, • Design and validate mathematical optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for generator dispatch and fleet-level maintenance scheduling, including heuristic approaches, OPH projection, and constraint-based planning, • Build and extend simulation infrastructure (rolling dispatch, Monte Carlo scenario analysis) to validate optimization outputs, refine algorithmic approaches, and auto-tune model parameters against operational requirements, • IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines (MQTT, AWS IoT, SQS, Sparkplug B), • System design: collaborate with product management and design to deliver robust software products that excite users and achieve business goals, • Reliability & observability: implement logging, monitoring, and alerting for high availability microgrid software deployments, • Collaboration: work with stakeholders across engineering, operations, and product to turn workflows into production-ready automation, • Continuous improvement: assess and adopt new technologies to enhance performance, scalability, and maintainability The Ideal Candidate • Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred, • 5+ years of experience with Python and JavaScript/TypeScript development, • Energy experience and modeling, optimization, • Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling, including Bayesian model fitting, DSP, and control systems, • Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK), • FastAPI and microservices experience, • React for front-end development, • PostgreSQL and relational database design, • Experience with high-volume, time-series data processing, • Experience with message brokers and IoT protocols (MQTT, Sparkplug B, AWS IoT Core), • Experience with SCADA platforms (e.g., Ignition or equivalent) and deployment and management of edge devices, • Experience with SCADA/energy protocols such as Modbus, OpenADR, DNP3, or IEEE 61850, • Excellent communication and collaboration skills to work across teams with evolving requirements This is a great opportunity to have a long-term impact on a fast-paced, private equity-backed growth business. Some of the core virtues embraced by Scales’ employees include: • Do the Right Thing, • Act Like An Owner, • Hustle, • Demand Results, • Go Together, • Evolve or Disappear We offer a competitive compensation package and a comprehensive benefits program, including medical benefits, paid vacation and holidays, and 401K matching. About Scale Microgrids Scale is redefining resilience, with advanced microgrids that go beyond traditional backup power solutions to give businesses the power to adapt and thrive amid all of today’s growing energy challenges. As a vertically integrated provider of turnkey advanced microgrid systems, Scale combines project design, engineering, and execution expertise with microgrid-as-a-service financing to offer our customers systems that are optimized to deliver maximum value from day one while ensuring ultra-reliable operations and fast time-to-power. Scale is backed by EQT, a firm with ~$250B in assets, bringing a depth of experience, resources, and capital that will enable Scale to continue pursuing our vision of powering the world with distributed energy. The investment enables Scale to own and operate billions of dollars in distributed generation assets. To learn more about Scale Microgrids, please visit _. About EQT EQT is a purpose-driven global investment organization with EUR 246 billion in total assets under management (EUR 134 billion in fee-generating assets under management), divided into two business segments: Private Capital and Real Assets. EQT owns portfolio companies and assets in Europe, Asia Pacific, and the Americas and supports them in achieving sustainable growth, operational excellence, and market leadership. To learn more about EQT, please visit _. Scale strives to attract and retain a workforce that reflects the composition of our customer base and communities. We are committed to providing a work environment that provides everyone with equal access and opportunity to contribute and drive meaningful outcomes. We encourage applicants from all backgrounds to apply and will consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Summary Empowered Buildings is a fast-growing building automation company seeking a motivated, detail-oriented engineer with 2+ years of experience in the building automation industry or a related engineering field, a strong understanding of mechanical and control systems, and a passion for supporting project teams through engineering, documentation, and project execution. About Empowered Buildings Empowered Buildings helps building owners and operators reduce operating costs, improve system reliability, and optimize building performance through the integration of building automation, engineering, IoT connectivity, AI-driven analytics, and intelligent software. We combine a consultative approach with scalable solutions to deliver measurable outcomes across commercial real estate, multifamily, banking, healthcare, education, and quick service restaurant portfolios. Our focus is delivering measurable business outcomes by improving operational efficiency, enabling proactive monitoring and predictive maintenance, mitigating catastrophic risk, and transforming building data into actionable insights through the intelligent integration of engineering, connected technologies, and AI-driven analytics. Role Description The Building Automation Project Engineer is a full-time, on-site role based in New York, NY. Reporting directly to the Senior Building Automation Applications Engineer, the successful candidate will support Project Managers, Field Technicians, and Engineering throughout the project lifecycle. This role is responsible for preparing engineering documentation, developing graphics, assisting with controls programming, coordinating submittals and project deliverables, supporting commissioning activities, and maintaining accurate project documentation to ensure projects are delivered efficiently and consistently. Primary Responsibilities • Prepare controls submittals, shop drawings, points lists, sequences of operation, and engineering documentation., • Develop and modify graphics and operator user interfaces for building automation systems., • Assist with controls programming, controller configuration, and system integrations., • Support commissioning activities, including point verification, alarm testing, trend setup, sequence validation, and project closeout documentation., • Coordinate engineering deliverables with Project Managers, Field Technicians, subcontractors, and customers., • Maintain project documentation, including engineering revisions, RFIs, as-built drawings, and closeout packages., • Provide technical support to Project Managers and Field Technicians throughout project execution., • Track engineering deliverables and open items using project management platforms., • Assist in developing and maintaining engineering templates, graphics libraries, and documentation standards., • Support continuous improvement initiatives to enhance engineering quality, consistency, and efficiency. Required Qualifications • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related engineering discipline (equivalent experience will be considered)., • 2+ years of experience in building automation, HVAC controls, or a related engineering field., • Working knowledge of mechanical and HVAC system operation., • Understanding of building automation systems, controls hardware, and control sequences., • Knowledge of low- and line-voltage controls wiring, networking, and blueprint reading., • Experience preparing engineering documentation, including submittals and as-built drawings., • Basic controls programming and troubleshooting experience., • Experience developing graphics for building management systems is preferred., • Strong attention to detail and the ability to manage multiple projects simultaneously., • Excellent written and verbal communication skills., • Strong organizational and problem-solving abilities. Preferred Qualifications • Experience with Reliable Controls, Distech, Honeywell, Johnson Controls, Schneider Electric, Niagara, or similar building automation platforms., • Experience with BACnet, Modbus, LON, or other building automation communication protocols., • Familiarity with Visio, AutoCAD, Photoshop, or similar engineering and graphics software., • Basic knowledge of Python, JavaScript, HTML, or other programming languages., • Experience using AI tools to improve engineering workflows, documentation, and productivity., • Exposure to project management software and engineering document management systems. Compensation & Benefits We offer a competitive salary of $80,000–$120,000 per year, plus a comprehensive benefits package and the ability to grow with our fast-growing company. • Health, dental, retirement, and vision insurance, • Flexible spending account, • Paid time off, • Professional development assistance Schedule & Location • Standard business hours, Monday to Friday., • Extended and after-hours work are required as needed to meet project demands., • In-person role based in the New York, NY. Equal Employment Opportunity Empowered Buildings provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

About Us Dealer Owned Warranty Company LLC is a leading provider of F&I (Finance and Insurance) partnership services in the automotive industry, offering a full suite of obligor and administrator services, top-of-the-line products, technology, and training. We understand the importance of leveraging process and technology in the F&I industry to drive revenue and ensure success. Our goal is to provide visibility, transparency, and the tools needed for our partners to build their wealth and achieve their goals. About AiAuto: We are challenging the traditional car-buying experience. Gone are the days of consumers spending hours at a dealership, navigating unclear pricing and high-pressure sales tactics. The days of F&I managers who miss family dinners and are unable to attend their children’s games on the weekends are a thing of the past with remote F&I. Instead, we have created an innovative SaaS platform that brings the dealership experience to consumers fingertips wherever they may be. At AiAuto, we are not just another automotive software vendor. We are a group of passionate individuals with decades of automotive and technology experience who have come together with a singular vision: transform how people buy cars. We invite you to experience a new way of engaging with consumers. A way that respects their time, values transparency, and puts them in the driver’s seat of the buying process. We are not just helping dealers sell more cars and F&I products. We are championing a movement to make car buying what it should be: simple, transparent, and enjoyable. Welcome to the future of car buying. Welcome to AiAuto. Job Summary The Senior Data Engineer leads the design, development, and maintenance of scalable and secure data architecture, pipelines, and systems to support the company’s data-driven initiatives. This role not only ensures the integrity, performance, and delivery of data solutions but also guides the broader data engineering team, mentors junior engineers, and drives innovation and best practices. The Senior Data Engineer collaborates cross-functionally to align data solutions with strategic business goals and plays a critical role in shaping the company’s data infrastructure roadmap. Duties/Responsibilities: Data Architecture, Pipeline Development, and Automation • Design and build robust, scalable, and efficient ETL pipelines that support complex data workflows and meet evolving business needs., • Lead the automation of data ingestion from diverse sources (databases, APIs, cloud services) and ensure system reliability and failover readiness., • Oversee the optimization of data storage, processing, and retrieval for performance, cost-efficiency, and scalability. Process Improvement and Technical Leadership • Identify, evaluate, and implement improvements to legacy systems, ensuring alignment with current and future business demands., • Research, recommend, and introduce advanced tools, frameworks, and technologies to enhance the data platform., • Provide technical leadership to the data engineering team, including mentoring, code reviews, and enforcing engineering best practices. Data Governance, Integrity, and Quality • Ensure end-to-end data quality and integrity by establishing and enforcing robust validation, monitoring, and testing protocols., • Collaborate with cross-functional stakeholders to translate business requirements into well-defined data models and transformations., • Proactively identify and resolve data inconsistencies, gaps, and errors across systems. Cross-functional Collaboration • Partner closely with data analysts, data scientists, product managers, and business leaders to deliver data products that enable analytics, reporting, and advanced modeling., • Work with DevOps, software engineering, and IT teams to ensure seamless integration of data systems with enterprise platforms., • Drive the creation of self-service data tools, dashboards, and reporting solutions that empower business teams. Documentation, Knowledge Sharing, and Strategy • Develop and maintain comprehensive documentation for data models, pipelines, processes, and system architecture., • Share knowledge and lead training efforts to upskill the team and promote a data-driven culture., • Contribute to the long-term data strategy, including architecture roadmaps, data governance policies, and compliance initiatives. Other Responsibilities • Perform any other duties assigned by the discretion of management. Required Skills & Experience: • Minimum of 7-10+ years of data engineering experience is required., • Bachelor's Degree in Data Engineering, Computer Science, Data Analytics or related field is required. Master's Degree preferred., • Must live in commutable distance to Parsippany, NJ. We are not considering out of state candidates at this time., • Must have excellent communication skills both written and verbal in English. Must be able to present data to leadership and collaborate with team members., • Strong technical coding capabilities., • Advanced proficiency with SQL, Python, and ETL development are required., • Python proficiency is required. Must be seen on resume., • Strong experience with data modeling, data warehousing, and database technologies (e.g. PostgreSQL, Snowflake, Redshift)., • Experience with cloud data platforms (AWS or Azure) and cloud-native data engineering tools., • Solid understanding of data architecture patterns (batch, streaming, event-driven) and best practices., • Proven ability to optimize data workflows, troubleshoot complex issues, and ensure high system performance., • Strong project management capabilities and ability to work independently., • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders., • Must be able to pass a technical coding assessment. Physical Requirements • Prolonged periods of sitting at a desk and working on a computer, • Must be able to lift up to 15 pounds Come join our growing team here in Parsippany! As NJ's Best Places to Work Honoree for four years in a row, we offer: • Competitive compensation, • PTO and Sick Time, • Medical, Dental, Vision, 401k matching, Life Insurance, Ancillary Benefits, • Full-service cafeteria on-site serving breakfast & lunch from an exclusive private chef., • Corporate events, team and culture building activities, employee awards and recognition, company trips and more! DOWC (and its affiliated brands) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact us for assistance.

Company Description Timebox Pro is an expert-led technology and transformation partner that helps organizations translate complex challenges into clear, measurable outcomes. Founded in 2020, the company works alongside leadership and technology teams as an extension of their organization, providing structure, expertise, and disciplined execution. Timebox Pro’s capabilities span strategic advisory, expert tech solutions, and project & portfolio management, with a focus on cloud, AI, infrastructure modernization, and operational excellence. The team is known for combining strategic insight with hands-on delivery, guiding clients from vision through practical implementation. Timebox Pro’s mission is to help organizations scale intelligently, reduce complexity, accelerate transformation, and deliver tangible business results. Role Description The Mosaic Transmit Security Engineer is a full-time, on-site role based in Parsippany, NJ. In this position, you will design, implement, and maintain security controls for Mosaic Transmit platforms, ensuring secure application and data flows across enterprise environments. You will perform security assessments, monitor and analyze security events, and collaborate with engineering, infrastructure, and operations teams to remediate vulnerabilities and improve security posture. Daily responsibilities include developing and reviewing security architectures, supporting incident response activities, maintaining documentation for security standards and configurations, and aligning solutions with organizational policies and regulatory requirements. You will also contribute to continuous improvement by recommending new tools, processes, and best practices to strengthen overall cybersecurity resilience. Qualifications Strong application security skills, including secure design, code review, and protection of data in Mosaic Transmit and related systems. • Network security expertise with experience in firewalls, VPNs, segmentation, intrusion detection/prevention, and secure network architecture., • Broad cybersecurity knowledge covering threat modeling, vulnerability management, incident response, and security monitoring., • Security engineering experience in designing, implementing, and automating security controls and integrations across infrastructure and applications., • Information security skills in policy development, risk assessment, compliance frameworks, and governance practices., • Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience., • Relevant certifications such as CISSP, CISM, CEH, GIAC, or similar are beneficial., • Hands-on experience with enterprise security tools (SIEM, endpoint protection, identity and access management) and secure cloud or hybrid environments., • Ability to work collaboratively with cross-functional teams, communicate complex security topics clearly, and document technical solutions effectively., • Experience supporting large-scale transformation or modernization initiatives is a plus., • US Citizens and Green card holders only.

Position: Sr Machine Learning Engineer Location: California and New Jersey Duration: 6 months (right to hire) Interview Process: 2-3 interview rounds (intro, coding, architecture) Summary: As a Sr Machine Learning Engineer, you will be independently engineering Agentic AI Systems, and partner with Data Scientists, Data Engineers, Data Analysts, DevSecOps and other professionals helping to implement traditional models and agentic AI systems to deliver stability, producibility, scalability and integration with other products and services. You will also participate in architectural capabilities that combine large language models with semantic knowledge layers, knowledge graphs, ontologies, and deterministic reasoning to support accurate, explainable and governable business decisions. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insights, an inclusive leadership attitude and a continuous learning focus on all that you do. Here is what you can expect in a typical day: • Architect, Design and Development and Deployment of ML models and Agentic AI systems that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments, • Design and implement semantic knowledge layers that represent domain entities, relationships, taxonomies, ontologies and business rules for use by LLM and agentic applications., • Build knowledge graph, Graph RAG capabilities that combine vector retrieval with entity resolution, graph traversal, multi-hop reasoning, and relationship aware context retrieval., • Solve complex problems by writing and testing application code, developing and validating ML models and Agentic AI, and automating tests and deployment using LLM tools like Claude Code., • Leverage cloud-based architectures and technologies to deliver optimized ML models, semantic reasoning and Agentic systems at scale., • Construct optimized data, ingestion, knowledge graph, semantic layer and memory pipelines to feed ML models and Agentic systems, • Define approaches for ontology lifecycle management, schema evolution, temporal knowledge, data lineage, graph freshness, and synchronization with source systems.?, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code, • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day, • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables., • Use programming languages including but not limited to Python, C++, SQL, Cypher, Gremlin or other graph query languages. The Skills and expertise you bring: • Bachelor of Computer Science or Engineering or experience in related fields, • Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization, • Experience with agile development methodologies and Specification-Driven Development (SDD), • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: • Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RESTful APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts, • Machine Learning and Deep Learning: Good understanding of ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics., • Agentic and Generative AI: Architecture, development, evaluation, and deployment of LLM and multi-agent systems - including orchestration, tool use, context engineering, memory, session state, guardrails, human-in-the-loop controls, and agent observability.?Experience combining LLMs with knowledge graphs, ontologies, semantic retrieval, and deterministic?rules?or constraint engines to reduce unsupported reasoning and improve consistency., • Knowledge Graphs & Ontologies: Experience building semantic layers using knowledge graphs, ontologies, and entity relationship models; integrating them with LLMs and Agentic AI to enable multi-hop reasoning, explainability, deterministic business rules, and governance., • Model Performance and Governance: model monitoring, model validation, bias detection, explainability, performance, drift, outliers and agent observability, etc., • Model Deployment: Thorough Understanding of ADLC (Agent Development Life Cycle), CI/CD/CT pipelines (using tools like GitActions, Jenkins, CloudBees etc.), A/B testing. Pipeline frameworks like MLFlow, SageMaker pipeline, etc. model and data versioning., • Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding big data ecosystems, relational, NOSQL, and graph databases, unstructured and semi-structured data. Data processing on distributed systems with Spark/PySpark, • Knowledge of how databases are structured and function efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. SQL (relational), Unstructured (NoSQL), Graph/ontology (Graph DB), and semantic data models., • Statistics and Computing: Strong knowledge of: Linear Algebra, Probability and Statistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc., • Programming Languages: Python, C++, SQL, Cypher, Gremlin or other graph query languages

Mid-Senior Level Structural Engineer (4+ Years Experience) Locations: New York City, NY | Philadelphia, PA | Boston, MA | Virginia About MRCE MRCE is seeking experienced and motivated Structural Engineers to join our growing team in New York City, Philadelphia, Boston, and Virginia. This role offers the opportunity to work on complex and challenging geo-structural and foundation engineering projects while collaborating with industry-leading engineers and technical experts. As a Mid-Senior Level Structural Engineer, you will play a key role in the analysis, design, inspection, and construction support of foundation systems, support of excavation structures, waterfront facilities, and other structural engineering projects. You will be expected to apply sound engineering judgment, manage project tasks independently, mentor junior staff, and contribute directly to project success from concept through construction. At MRCE, we are committed to professional growth, technical excellence, and innovation. Our engineers gain exposure to advanced design methodologies, cutting-edge technologies, and practical construction applications, providing a strong foundation for continued career advancement. Job Responsibilities • Conduct site investigations, field assessments, and engineering evaluations for new and ongoing projects., • Perform pre-construction and post-construction condition surveys of buildings, structures, and adjacent properties., • Analyze and design:, • Temporary support of excavation systems, • Retaining structures, • Underpinning systems, • Deep foundations (driven piles, drilled shafts, micropiles, caissons), • Waterfront and marine structures, • Develop structural calculations and engineering analyses for lateral earth support systems and foundation elements., • Prepare engineering reports, design calculations, specifications, and construction documents., • Coordinate with clients, contractors, architects, and regulatory agencies throughout project development and construction., • Perform field inspections for foundation construction, support of excavation systems, underpinning operations, pile installations, and load testing programs., • Review contractor submittals, shop drawings, and field modifications., • Prepare inspection reports and documentation required for regulatory approvals and code compliance., • Monitor project schedules, budgets, and deliverables., • Mentor and provide technical guidance to entry-level engineers and field staff., • Support business development initiatives and client relationship management efforts., • Perform other duties as assigned. Travel Requirements • Local travel to project sites using public transportation or personal/company vehicle., • Occasional regional travel by air or train, including overnight stays as required by project assignments. Typical Physical Demands and Work Environment The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions. • Navigate job site/field environment as well as an office environment., • Remain either stationary for extended periods (for instance, in a chair or vehicle), or move often (for instance, walking through a job site), depending on project needs., • Lift and carry equipment (up to 50 lbs)., • Position self in a stooping, kneeling, or crouching manner and climb ladders and stairs for reading instruments., • Navigate uneven ground and footing conditions (for example, soil/gravel/ mud footing, riprap and slopes, rugged terrain)., • Work in varying weather conditions (for example, cold, hot, rain, snow)., • Wear gloves, use hands, handle or feel objects, tools, machinery and computers., • Communicate with others; exchange information accurately., • Operate a computer., • Operate specialized equipment and instruments., • Work in varying noise levels in the construction work environment. Qualifications Education: Bachelor’s or Master’s degree in Civil, or Structural Engineering from an ABET/EAC accredited program; • 4+ years of experience in a similar role;, • Numerical analysis and modeling is a plus, • Auto CAD, MicroStation, Revit experience is a plus, • Knowledge of L-Pile, Sap 2000, Risa, and other specialty software is a plus, • Engineer in Training or registered for FE examination;, • Readiness to spend time in the field for short or long-term projects;, • Excellent written and verbal communication skills;, • Capable of working independently and collaborating with team;, • Capable of professionally representing themselves and the company on sites and with clients. MRCE supports professional development, encourages extracurricular technical activities, and Professional Engineering registration. The firm offers competitive salaries, overtime pay, 10 paid holidays and vacation leave, maternal/paternal leave, medical benefits including dental and vision, life insurance, referral program, Transit Check, a 401(k) contribution, and additional benefits to full time employees. MRCE is committed to providing equal employment opportunities for all qualified persons. MRCE is an equal opportunity employer and considers all applicants without regard to race, color, religion, national origin, ancestry, citizenship, gender, pregnancy, age, physical or mental disability, genetic information, service in the uniformed services, or any other basis protected by federal, state or local law. Base Salary Range: $90,000 - $120,000. Actual compensation may vary based on related work experience, market conditions, education/training, certifications and credentials. This position is eligible for straight-time overtime and participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm.

About the Company OneTrack connects systems of record with places of action. We deploy AI for the companies that run the physical economy. Our platform, OneTrack AiOn, connects business systems, operational data, and company knowledge so teams can build applications, answer complex questions, and automate work across their organization. Today, we partner with some of the largest companies in logistics and manufacturing, including clients like Church & Dwight, Ecolab, The Wonderful Company, CJ Logistics, Ryder, GXO, and many others. Some clients deploy AiOn using their existing software and data. Others combine it with OneTrack’s sensors and computer vision to connect what happens on the floor with what lives in their systems. About the Role We’re looking for a Forward Deployed Engineer to embed with clients and turn that capability into everyday practice. You’ll work alongside frontline teams, operations leaders, analysts, and IT to understand how their business runs, identify valuable problems, and build solutions that become part of how they operate. You’ll own the path from an ambiguous business problem to a working deployment: understanding the workflow, connecting the data, validating the logic, shipping the solution, and helping people use it successfully. Responsibilities • Embed with client teams. Spend time on site and in their working routines. Learn how decisions get made, where work gets stuck, and which problems are worth solving first. Turn those findings into a deployment plan with clear owners and measurable outcomes., • Connect and make sense of their data. Work with client IT and data owners to bring together ERP, warehouse and labor management systems, data warehouses, APIs, spreadsheets, and documents. Resolve inconsistent identifiers, unclear definitions, and data quality issues., • Teach AiOn how the business works. Capture the client's terminology, processes, relationships, and operating rules as reusable knowledge and skills. Translate agreed calculations into tested procedures so teams get consistent, trustworthy results., • Build applications and automations. Use AiOn’s tools and write code where needed to deliver dashboards, operational apps, recurring analyses, alerts, and agent workflows. Carry solutions through testing, rollout, troubleshooting, and ongoing refinement., • Deploy with and without sensors. Deliver value from existing business data alone. When a use case benefits from physical visibility, partner with OneTrack’s hardware and field teams to incorporate sensor events, telemetry, and vision insights., • Establish permissions and ownership. Work with clients to define who can access data, approve actions, maintain business context, and own each workflow. Validate that the deployment behaves correctly for different users and sites., • Build client capability. Run working sessions, train internal champions, and build the first use cases alongside the people who will own them. Help clients develop the confidence and skills to build the next ones themselves., • Improve the product through field experience. Bring clear problem statements, reproducible issues, and reusable solutions back to engineering and product. Help turn successful deployments into patterns that work across clients. Responsibilities - What you might work on • Combine warehouse and labor data into a daily performance workflow that highlights exceptions and gives supervisors a consistent basis for action., • Connect ERP and transportation data to reconcile freight spend and investigate discrepancies., • Turn a spreadsheet process into a shared application with validated calculations, permissions, and scheduled updates., • Combine sensor observations with operational records to support safety coaching, investigate damage, or understand lost capacity., • Help an analytics team build its first AiOn applications, then establish the knowledge and ownership needed to expand across departments. Required Skills - What you bring • 2+ years of software engineering or technical deployment experience, including direct work with customers (e.g., onboarding, troubleshooting, or gathering requirements)., • Hands-on experience building and deploying agentic applications, including agents that plan and execute multi-step tasks, with working knowledge of prompt engineering, agent skills, and memory design and tuning., • Strong Python and SQL skills, comfort working with APIs and data pipelines, and the ability to debug across unfamiliar systems., • The ability to turn an open-ended business problem into a practical technical solution, explain the tradeoffs, and ship it., • Strong client communication. You can work through a data issue with an engineer, understand a supervisor’s daily routine, and explain progress to an executive., • Good judgment about data quality, access controls, testing, and reliability. You verify that calculations and AI outputs hold up against source data and actual business practice., • Comfort building with AI tools and reviewing the code and outputs they produce., • Ownership and persistence when requirements are incomplete, systems are messy, or adoption takes more work than expected., • Willingness to travel and work alongside clients at their facilities. Preferred Skills - Helpful experience • Logistics, warehousing, manufacturing, agriculture, transportation, or other physical operations., • Enterprise implementations involving ERP, WMS, LMS, TMS, or business intelligence systems (PowerBI, Tableau, Looker, etc.), • Building LLM applications, tool integrations, evaluations, or automated workflows., • Frontend, backend, basic cloud infrastructure, or similar full-stack application development., • IoT, computer vision, or operational telemetry., • Training users and leading changes to established ways of working. Pay range and compensation package $100,000-$150,000 PTO, healthcare, performance-based compensation, and other benefits Frequent travel to clients across North America Responsibilities - What success looks like Clients use what you build in their daily work. They trust the numbers, understand the controls, and can point to improvements such as less manual reporting, faster investigations, fewer unresolved exceptions, or better use of operational capacity. Their internal champions can extend the deployment, and your field experience makes the next client implementation better. You’ll have direct ownership of meaningful client problems and a close connection to the engineers building the platform. The work will take you from a conversation on the warehouse floor to a data model, from a prototype to a production workflow, and from one successful use case to adoption across an organization.

Role: SVP Head of Market Data Engineering (C++) Location: NYC NY/Jersey City NJ(2-3 days Onsite/Week) Full Time Permanent We are seeking an exceptional and highly seasoned C++ engineer to assume the role of Senior Vice President, leading our Equities Market Data engineering team. This is a senior leadership position responsible for the architectural vision, strategic direction, and flawless execution of our global, ultra-low-latency market data platform. The primary objective of this role is to engineer and safeguard the foundational data layer that powers our entire electronic trading franchise, ensuring our algorithmic and quantitative strategies have a decisive speed and data quality advantage in the market. Qualifications: • 10+ years of extensive, hands-on experience in C++ development, with a proven track record of designing, building, and managing mission-critical, low-latency systems in a high-frequency trading environment., • Expert-level mastery of modern C++ (C++17/20), including deep expertise in templates, concurrency, memory management, and performance optimization., • Profound understanding of low-level systems programming, network protocols (TCP/IP, UDP, multicast), and experience with kernel-bypass technologies., • Demonstrable experience in building and optimizing market data feed handlers for major equity exchanges. A comprehensive understanding of exchange-specific protocols is essential., • Deep knowledge of Equities market structure, data normalization, and the nuances of processing high-volume, time-sensitive financial data., • Proven experience in a technical leadership or architectural role, with the ability to guide and mentor a team of highly skilled engineers., • Exceptional problem-solving and analytical skills, with the ability to diagnose and resolve complex, time-critical production issues., • Bachelor’s degree/University degree in Computer Science, Engineering, or a related field is required; a Master’s degree is highly preferred.

Production Engineer (Mid-level to Senior) About the Role Marotta Controls is seeking a Production Engineer to support our Power & Actuation Systems team. The Production Engineer will be responsible for the technical management, maintenance, and development of new and existing production lines. This role supports manufacturing and operational goals by developing, implementing, and maintaining production methods, operation sequences, test equipment, tooling, and processes that ensure production capacity meets customer demand. The ideal candidate will bring mid-level to senior manufacturing engineering experience, strong technical problem-solving skills, and a continuous improvement mindset. This individual will support defect reduction, improve first-pass yield, participate in lean initiatives, and help drive safe, efficient, and high-quality manufacturing operations. Key Responsibilities • Design and improve systems and processes for new product introductions and existing production lines., • Develop, implement, and maintain manufacturing methods, operation sequences, test equipment, tooling, fixtures, and production processes., • Create, maintain, and refine detailed manufacturing documentation, including operation sheets, routers, set-up sheets, tooling sheets, and related work instructions., • Investigate, assess, and resolve production issues effectively and efficiently., • Participate in root cause investigations, troubleshooting activities, defect reduction efforts, and continuous improvement initiatives., • Implement process improvements to increase efficiency, improve yield, reduce defects, and support operational goals., • Design detailed assembly procedures, tooling, and test fixtures to support safe and efficient operations., • Assemble and test production hardware as needed., • Analyze equipment layout, workflow, assembly methods, and workforce utilization to maximize efficiency., • Apply Lean Manufacturing principles to tooling and fixture design, material selection, facility layout, cost estimates, DFM concepts, GD&T practices, documentation, performance metrics, and machine shop activities., • Generate procedures from applicable industry and aerospace specifications., • Communicate designs and technical requirements effectively with machinists, suppliers, internal teams, and external partners., • Work with suppliers and subcontracted service providers to procure necessary equipment and maintain equipment readiness., • Generate accurate estimates for set-up time, cycle time, materials, and other manufacturing requirements using cost-effective methods., • Define, monitor, and communicate performance metrics to management, and implement actions to resolve identified issues., • Facilitate training as needed to support a cross-trained workforce and operational objectives., • Support safe work practices, housekeeping standards, quality requirements, and company policies and procedures., • Contribute to a positive, cooperative, and safe work environment through effective communication at all levels of the organization., • Keep management informed of area activities, project status, and significant issues., • Complete special projects and additional assignments as required. Qualifications, Knowledge, and Skills • Mid-level to senior-level production, manufacturing, or process engineering experience preferred., • Bachelor’s degree in Engineering or a related technical field required., • Experience with the assembly, design, and implementation of precision devices., • Knowledge of electronics, test equipment, tooling, fixtures, and manufacturing processes., • Understanding of machining techniques, manufacturing documentation, routers, tooling sheets, and operational work instructions., • Experience applying Lean Manufacturing principles, root cause analysis, troubleshooting, and continuous improvement methods., • Strong verbal and written communication skills with the ability to interact effectively across all levels of the organization and with external partners., • Strong computer skills, including proficiency with Microsoft Office and applicable manufacturing, engineering, or business systems., • Ability to work independently and collaboratively in a fast-paced manufacturing environment. Work Environment • This role operates in both a professional office environment and a manufacturing/machine shop environment., • The employee may be exposed to conditions typical of a manufacturing or machine shop setting, including fluids, fumes or airborne particles, moving mechanical parts, noise, vibration, and temperature changes., • Standard office equipment is used regularly, including computers, phones, printers, scanners, and copiers., • Appropriate personal protective equipment may be required, including eye, hearing, and foot protection., • Some travel may be required, approximately 5–10%., • This is a full-time position. Physical Requirements • Ability to talk, hear, and communicate effectively., • Frequent use of hands and arms, including reaching, handling, and operating tools or equipment., • Ability to stand for extended periods, approximately 7–8 hours daily, and regularly walk, stoop, bend, turn, balance, crouch, and move throughout the facility., • Ability to skillfully use measuring instruments, hand tools, and power tools., • Specific vision abilities required include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus., • Ability to lift, push, pull, and/or move items weighing up to 50 pounds. This position is at our Parsippany, NJ office location. Pay Range: $115,000 to $140,000 Many of our contracts require proof that you are a U.S. citizen and/or that an export license has been obtained for employees who are citizens of certain countries. Your employment, both initially and continually thereafter, is conditioned on production of such proof of citizenship and/or any export license that may be required to comply with any and all applicable laws, regulations, or executive orders, or required by Federal, State, or local government contracts. At Marotta Controls, we are committed to a fair, performance-driven compensation approach that promotes consistency across all levels of our organization. We ensure that pay decisions are free from bias, based on objective criteria, and are regularly reviewed. Your level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, experience, and internal consistency. Additionally, we offer a highly competitive compensation package for this opportunity, including incentive compensation and a comprehensive suite of premium benefits. These include medical, prescription, dental, vision, life, and disability insurance, a 401(k) plan with company match, tuition assistance, paid vacation, sick and personal days, paid holidays, and flexible scheduling options such as compressed workweeks. We value and reward employee achievements and host multiple engagement events each quarter to foster a strong, supportive workplace culture. If you are looking to grow or accelerate your career and be part of a best-in-class organization while enjoying a work-life balance, please visit our website at www.marotta.com to learn more about us and to apply. Check out all of our openings at https://marotta.com/job-openings/ VETERANS ARE ENCOURAGED TO APPLY No agencies, please.

Supplier Quality Engineer Overview: The Supplier Quality Engineer (SQE) position is responsible to develop positive, partner-oriented relationships with members of MCI’s Supply Chain to continuously improve and monitor supplier performance through auditing and the application of quality tools and performance metrics. The SQE must be a self-motivated individual who possesses the ability to analyze, organize, plan and prioritize assignments/tasks to achieve desired results. This position requires effective interaction with a broad spectrum of people to successfully support operations, customer requirements and the corporate strategic vision. Main job responsibilities: • Identify improvement projects and manages cross functional implementation to improve supply chain performance, • Promote the use of Quality tools and continuous improvement techniques at suppliers to reduce variability, achieve process control and improve the overall quality of processes, systems and MCI’s product(s)/materials., • Develop positive relationships and effective lines of communication with suppliers (partnership-oriented), • Train suppliers to effectively execute Supplier Corrective Action Requests (SCAR), Quality Alerts, Corrective/Preventive Actions (CAPA) implementation, change control and root cause analysis, • Perform periodic audits and evaluate Supplier Quality Systems/processes and flow down of customer requirements to assure conformance to requirements., • Collect and evaluate supplier quality data and performance metrics to manage the Supply Chain score card system., • Recommend suppliers for qualification and/or disqualification based on quality performance, • Evaluate supplier processes, collaborate with suppliers on process improvement and value enhanced opportunities, • Ensure effective communication with MCI Engineering, Operations, Quality Engineering and Procurement to identify opportunities for quality and productivity improvements, • Working directly with suppliers, create corrective action plans and effectively resolve identified issues, • Organize and assume a lead role in presenting the status of “Active Supplier Quality” issues, • Ability to provide training in an effective manner, • Foster a positive, cooperative, and safe work environment through effective communication at all levels of the Marotta organization, • Abide by all safety, quality, housekeeping and company policies/procedures to ensure compliance to various regulatory and internal system requirements Additional job responsibilities: • Foster a positive, cooperative and safe work environment through effective communication at all levels of the Marotta organization, • Abide by all safety, quality, housekeeping and company policies/procedures to ensure compliance to various regulatory and internal system requirements Minimum Requirements: • Minimum of a bachelor’s degree in Mechanical/Electrical/Manufacturing Engineering, • Knowledge of, or experience in a manufacturing/testing environment (Aerospace preferred) Knowledge in the areas of Circuit Card Assemblies (CCA’s) inclusive of IPC J STD-001E/NASA STD-8739 and IPC 610 standards and requirements, • Knowledge of Machining and Measurement processes and equipment., • Minimum of (1) year Quality/Design/Manufacturing Engineering Experience – Supplier Quality field experience preferred, • Knowledge of, or experienced in the areas of special processes (ex. plating, painting, weld, etc.), AS9100 & ISO system standards/requirements, P.O. review/approval, ESD, Foreign Object Debris/damage (FOD) Controls, performance metrics and System/Process audits, • Ability to interpret Military, Commercial aircraft and Space level specifications, dwg’s, and standards, • Knowledge of, or demonstrated track record in the area of Lean concepts, variability analysis, SPC/Process controls, root cause analysis, failure Mode Effects Analysis (FMEA), Six Sigma tools, System/Process auditing, etc., • Knowledge of or experienced use of various measuring/inspection instruments (Coordinate Measuring Machine (CMM), Vision System, mechanical instruments, etc.), • This position requires the eligibility to obtain a security clearance, therefore you must be able to obtain/maintain a security clearance, • Must be a US Citizen Other job requirements: • Must be Computer literate (MS Excel/Word/PowerPoint), flow chart and statistical/analytical software packages, • Strong interpersonal, written, time management, analytical, statistical, problem solving, communication and organizational skills, • Demonstrate the ability to read, interpret documents (i.e. procedures, schematics/technical drawings, etc.), • Position requires a detail-oriented individual who can multi-task, provide leadership (project/assignment related), work in a fast-paced environment and communicate issues in a timely/effective manner. Work Environment: • While performing the duties of this job, the employee is potentially exposed to conditions typical of a manufacturing/machine shop environment, including, but not limited to fluids, fumes or airborne particles, moving mechanical parts, noise and vibration, • This job interacts both in a professional office environment and a manufacturing/machine shop environment. This role uses standard office equipment such as computers, phones, printers/scanners/copier machine, as well as environments inclusive of the appropriate eye, hearing and foot protection (as required)., • Some travel may be required for this position (50% travel), • Full time position Physical Requirements: • While performing the duties of this job, the employee is regularly required to talk and hear., • The employee is frequently required to reach with hands and arms, and to use hands to finger, handle or feel., • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus., • This position requires the ability to skillfully use measuring instruments, hand tools, • The employee may be required to lift, push, pull and/or move items weighing up to 50 pounds Salary - $87,500 - $115, 000 We offer a highly competitive compensation package for this outstanding position plus a quarterly bonus along with a full range of top quality benefits and employee services including: medical, prescription, dental, vision, life and disability income insurance programs, 401k retirement plans with company match, generous tuition aid program, paid vacation, sick and personal days, paid holidays and flexible work hours with compressed work week options. We recognize and reward our employee's accomplishments and host several employee engagement events per quarter. This position is at our Parsippany, NJ corporate offices location. Many of our contracts require proof that you are a U.S. citizen and/or that an export license has been obtained for employees who are citizens of certain countries. Your employment, both initially and continually thereafter, is conditioned on production of such proof of citizenship and/or any export license that may be required to comply with any and all applicable laws, regulations, or executive orders, or required by Federal, State, or local government contracts. If you are looking to grow or accelerate your career and be part of a best-in-class organization while enjoying a work-life balance, please apply! We are an Affirmative Action and Equal Opportunity employer M/F/IWD/Veterans VETERANS ARE ENCOURAGED TO APPLY As a Federal Contractor, Marotta is required to have all employees vaccinated against COVID-19 or qualify for a religious or medical exemption. No agencies, please.

Job Description Are you passionate about providing exceptional customer experiences in a luxury setting? Firmdale Hotels invites you to become a key player in our highly successful team at Crosby Street Hotel, where elegance meets outstanding service. Firmdale Hotels is a collection of award-winning, luxury boutique hotels and restaurants, renowned for their unique design and exceptional service. Each property offers a distinctively stylish experience, reflecting our commitment to excellence and innovation in hospitality. Title: Line Engineer (Maintenance) Location: Crosby Street Hotel Position Type: FT, Non-Exempt Reports To: Chief Engineer JOB DESCRIPTION Crosby Street Hotel, part of the award-winning Firmdale Hotels group, is seeking a skilled and reliable Maintenance Engineer to support the day-to-day engineering operations of our luxury hotel. This role is responsible for maintaining the highest standards of safety, comfort, and functionality throughout guest rooms, public areas, restaurant spaces, and back-of-house facilities. The Maintenance Engineer will perform routine maintenance, preventative maintenance, and repairs across multiple trades, including HVAC, electrical, plumbing, carpentry, and kitchen equipment, while delivering prompt and professional service. Key Responsibilities • Support the Chief Engineer with the overall maintenance and engineering operations of the hotel, restaurant, and surrounding grounds, • Perform general maintenance and repairs in guest rooms, suites, meeting spaces, restaurant areas, and common areas, • Conduct routine inspections and walk-throughs, updating logs and promptly reporting issues requiring immediate attention, • Execute daily, weekly, and monthly preventative maintenance programs and checklists, • Monitor, maintain, and service engineering systems and equipment, including:, • HVAC systems (boilers, chillers, air handling units, water pumps, exhaust fans), • Replacement of filters, belts, bearings, fans, insulation, and drain pans, • Troubleshoot and repair door locks, lighting systems, televisions, phones, and related guestroom equipment, • Perform basic repairs related to plumbing, electrical systems, carpentry, and kitchen equipment, • Maintain a clean, safe, and organized work environment at all times, • Follow all safety protocols and hotel standards What We’re Looking For • 2–5 years of maintenance or engineering experience, preferably within a hotel or hospitality environment, • Working knowledge of HVAC/R, electrical, plumbing, and general building maintenance systems, • Computer literate, with experience using Building Management Systems (BMS) preferred, • Familiarity with HOTSOS or similar maintenance management systems preferred, • Excellent verbal and written English communication skills, • Ability to remain calm, organized, and professional under pressure, • Strong time-management skills with the ability to prioritize multiple tasks, • Physically capable of lifting, carrying, and handling equipment safely, • Relevant trade certifications and/or specialized training preferred, including:, • Fire Safety Director, • FDNY Certificates of Fitness (Sprinkler & Standpipe, Back-Up Generator, etc.) What We Offer: • Competitive salary, • Generous paid time off for full and part time team members, including NY sick and safe leave, paid vacation days, and personal days, • Comprehensive medical, dental, and vision benefits, life insurance, and New York Secure Choice support for most team members, • Complimentary meals on shift, • Free uniform dry cleaning service, • Commuter transit benefits available Day 1, • Ongoing training and professional development, including annual education reimbursement program up to $3,000, • Social events throughout the year, including holiday parties, team member appreciation events, and more, • Exclusive discounts at Design Hotels, staff sales, spa discounts, and product perks, • Departmental and company-wide incentive programs, • And much more!! Why join Firmdale Hotels? Firmdale Hotels is an international, award winning group of 11 luxury hotels and 10 bars and restaurants in London and New York. World renowned for their unique interiors and exceptional service, the hotels are trailblazers in hospitality and design. We are delighted to have been recognized by the hospitality and travel industries for the great work our teams have achieved. To name a few of our recent awards and accolades: Crosby Street Hotel • Three Michelin Keys, 2024, 2025, • Condé Nast Traveler 'Triple Crown', 2026, • Readers' Choice Awards, Condé Nast Traveller, 2024, 2025, • Top-Rated Tablet Hotels of All Time, 2025, • The Best Boutique Hotels in New York City, Travel + Leisure, 2024, • Certified LEED® GOLD by the U.S. Green Building Council and verified by the Green Building Certification Institute (GBCI) Warren Street Hotel • Two Michelin Keys, 2025, • The Hot List, Conde Nast Traveller, 2024, • The IT List, Travel + Leisure, 2024, • World's Greatest Places, TIME Magazine 2024, • The Best Boutique Hotels in New York City, Travel + Leisure, 2024, • Readers' Choice Awards, Condé Nast Traveller, 2025 The Whitby Hotel • Three Michelin Keys, 2024, 2025, • Top-Rated Tablet Hotels of All Time, 2025, • Condé Nast Traveler 'Triple Crown', 2026, • Best Spots for Afternoon Tea in the US, Tasting Table, 2024, 2025, • Best Afternoon Teas in New York City, Vogue, 2024, 2025, • Readers' Choice Awards, Condé Nast Traveller, 2024, 2025 You can see a full list of our awards and accolades here: https://www.firmdalehotels.com/b/awards-accolades/ Join us at Crosby Street Hotel and be part of a team that values excellence, creativity, and a genuine passion for hospitality. Apply now to start your journey with Firmdale Hotels! Firmdale Hotels welcomes applicants from all backgrounds and is committed to an inclusive workplace. Please let us know if you need adjustments during the recruitment process.

Job Description Pay: $25.00–$45.00 per hour, based on experience Schedule: All shifts available, with the greatest need on 3rd shift Hours: Minimum 48 hours per week Job Type: Full-time Overtime: Required as needed Work Location: In person Position Summary Union Beverage Packers, LLC is looking for skilled and dependable Industrial Maintenance Mechanics to support our beverage manufacturing operation. We are hiring for all shifts, but we currently have a greater need for qualified candidates on 3rd shift. This position is responsible for troubleshooting, repairing, adjusting, and maintaining production equipment, plant machinery, and related systems. Candidates with experience working on Sidel blow molding equipment are strongly encouraged to apply. The mechanic will work closely with Maintenance, Production, Quality Control, Sanitation, contractors, and equipment vendors to keep production running safely and efficiently. Key Responsibilities The Industrial Maintenance Mechanic will: • Perform scheduled and unscheduled maintenance on production equipment and plant machinery., • Troubleshoot mechanical, pneumatic, hydraulic, electrical, plumbing, HVAC, and refrigeration issues., • Complete preventive maintenance, corrective maintenance, and equipment repairs., • Diagnose equipment failures and make repairs to reduce downtime., • Assist with equipment installation, modification, start-up, and production changeovers., • Read and understand mechanical drawings, schematics, machine manuals, and technical documents., • Inspect equipment daily and report major problems to Maintenance leadership., • Support blow molders, fillers, conveyors, palletizers, packaging equipment, and other production systems., • Enter work orders and maintain accurate repair and maintenance records., • Support production during equipment breakdowns and high-pressure situations., • Follow all safety, GMP, food safety, quality, sanitation, and company procedures., • Keep the work area clean, safe, and organized. Sidel Blow Molding Responsibilities Candidates with Sidel experience may also be responsible for: • Operating, monitoring, adjusting, and troubleshooting Sidel blow molding equipment., • Completing machine changeovers, production start-ups, adjustments, and major repairs., • Maintaining Sidel systems such as SBO, Matrix, Universal, Series 2, or similar equipment., • Troubleshooting mechanical, pneumatic, hydraulic, and basic electrical problems., • Working with Quality Control to make sure bottles meet company standards., • Supporting bottle quality, process improvements, and downtime reduction., • Cleaning, sanitizing, and maintaining blow molding and related production equipment. Required Qualifications • High school diploma or equivalent., • Industrial maintenance, mechanical, manufacturing equipment, or related technical experience., • Strong troubleshooting and problem-solving skills., • Ability to work independently and respond quickly to equipment problems., • Ability to work at least 48 hours per week., • Ability to work overtime, weekends, and holidays when required., • Ability to work safely around production equipment and moving machinery., • Ability to stand, walk, bend, kneel, climb, push, and pull during the shift., • Ability to lift at least 50 pounds., • Ability to work in a warm, loud, wet, and fast-paced manufacturing environment., • Ability to wear all required personal protective equipment. Preferred Experience The following experience is preferred but not required: • Hands-on experience maintaining or repairing Sidel blow molding equipment., • Beverage, bottled water, soft drink, food manufacturing, plastics, PET packaging, or bottling experience., • Experience with fillers, conveyors, palletizers, blow molders, and packaging equipment., • Electrical, welding, plumbing, HVAC, refrigeration, or equipment installation experience., • Experience with PLCs and automated production systems., • Experience performing major machine repairs or equipment overhauls., • Previous experience as a Sidel Field Service Engineer or Service Technician., • Forklift or equipment certification., • Basic computer skills for entering work orders and maintenance records. Physical Requirements • Lift up to 50 pounds regularly and heavier items with proper assistance or equipment., • Stand and walk for long periods., • Bend, reach, kneel, climb, push, and pull throughout the shift., • Work around moving equipment, wet areas, noise, heat, and production activity., • Follow all required safety procedures and PPE requirements. Benefits Union Beverage Packers offers: • Competitive pay from $25.00 to $40.00 per hour, • Overtime opportunities, • Medical insurance, • Dental insurance, • Vision insurance, • Life insurance, • Paid time off, • Paid holidays, • 401(k), • 401(k) matching, • Training and growth opportunities Benefits may be subject to eligibility requirements. Candidate Screening Questions • Which shift are you available to work?, • Are you able to work at least 48 hours per week and overtime when required?, • How many years of industrial maintenance experience do you have?, • What production or manufacturing equipment have you repaired?, • Do you have beverage, bottling, food manufacturing, plastics, or packaging experience?, • Have you worked on Sidel blow molding equipment?, • Which Sidel models have you worked on?, • Can you troubleshoot mechanical, pneumatic, hydraulic, and basic electrical problems?, • What major machine repairs or equipment overhauls have you completed?, • Are you comfortable working in a fast-paced beverage manufacturing environment? Equal Opportunity Employer Union Beverage Packers, LLC is an Equal Opportunity Employer. We are committed to providing a safe, respectful, and professional workplace for all employees. You should be proficient in: • Creating Preventive Maintenance Plans, • Mechanical Troubleshooting Skills, • Electrical Troubleshooting, • Electrical Repair, • Pneumatics Troubleshooting, • Maintenance and Repair Skills, • CNC Machine Setup & Changeover, • Industrial Electrical Systems, • Mechanical Systems & Component Repair, • DOT & Equipment Inspection Compliance, • Lockout/Tagout (LOTO), • Equipment Repair & Maintenance, • Automotive Manufacturing Systems, • Automotive Repair & Service Systems, • Machine Safety Inspections

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. ion. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer role (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Noodle is higher education’s leading strategy, services, and technology partner. We develop infrastructure, provide life-changing learning experiences, and grow the awareness of and the enrollment in some of the best academic institutions in the world. Our vision is “to empower universities to change the world.” We achieve this vision by offering our university partners various products and services that help them be more resilient, responsive, efficient, and interconnected. We’re looking for a Prompt Systems Engineer to sit at the intersection of AI capability and educational effectiveness. You will own the design, testing, and continuous improvement of the prompts and system instructions that power Noodle’s AI agents across enrollment, learning, and student support use cases. This is a hands-on, high-impact role. You’ll work directly with product managers, learning designers, university stakeholders, and engineers to translate operational and pedagogical goals and business requirements into agent behavior — and you’ll build the evaluation frameworks to prove that behavior is working. Prompt Design & Engineering • Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents focused on students enrollment, learning, and retention, • Translate complex educational and operational requirements into clear, reliable agent behavior — including persona definition, tone, scope constraints, fallback handling, and multi-turn conversation logic, • Design prompt architectures for multi-step and chained agent workflows, including RAG-augmented agents that draw from program-specific knowledge bases, • Collaborate with the engineering team to configure and deploy agents through Noodle’s AI orchestration platform, including primary prompts, secondary context, knowledge base attachments, and embed definitions, • Create the learner experiences defined by “three-way” chat between the learner, a campus or Noodle support staff member, and that staff member’s AI assistant Evaluation & Quality • Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives, • Use Langfuse (Noodle’s LLM observability platform) to monitor prompt performance in production, identify regressions, and prioritize prompt improvements, • Design red-teaming and adversarial testing protocols to surface edge cases and failure modes before agents reach students, • Establish prompt versioning practices and maintain a library of tested, reusable prompt components Collaboration & Enablement • Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions, • Work with enrollment and student success teams to tune companion agents for specific programs and university partner contexts, • Contribute prompt engineering guidelines and best practices documentation for internal teams who configure their own agents on Noodle’s AI orchestration platform, • Stay current with model capability changes across OpenAI, Anthropic, and other providers integrated into Noodle’s stack, and proactively surface opportunities or risks, • Perform other duties as assigned, • 2+ years of experience designing and iterating on prompts for LLM-powered applications in a production environment, • Deep familiarity with prompt patterns: few-shot examples, chain-of-thought, system vs. user roles, output formatting constraints, tool-use prompting, and RAG integration, • Strong written communication — you can write clearly, precisely, and persuasively, because that’s the core of the job, • Experience building and running prompt evaluations: defining metrics, writing test cases, and interpreting results to make improvement decisions, • Comfort working across disciplines — you can hold a conversation with an engineer about context windows and with a faculty member about Bloom’s Taxonomy, • Experience with LLM observability tools (Langfuse, Weights & Biases, or similar), • Familiarity with LTI (Learning Tools Interoperability) and how AI tools plug into LMS platforms like Moodle, Canvas, or Instructure, • Experience with voice agents or multimodal prompting, • Comfort reading and writing basic code (JavaScript, Python) to support prompt automation and testing pipelines, • Knowledge of OpenAI, Anthropic, or other model provider APIs, • Ability to thrive in ambiguity and iterate quickly based on user feedback, • Ability to work effectively in dynamic, rapidly changing, team-based environment, • Work from our beautiful NYC office OR the comfort of your home office!, • Computer and charger on us!, • 401(k) with company match, plus equity opportunities, • Medical, dental, and vision insurance for you and your family (including mental health benefits like Headspace and Talkspace), • Employer-paid life and disability insurance, • Optional voluntary coverage, including supplemental life, accident, critical illness, and hospital insurance, • Health Savings Account (HSA), Flexible Spending Accounts (FSA), and commuter benefits, • Pre-tax benefit options that help you save on eligible healthcare, dependent care, and commuting expenses, • Employee Assistance Program (EAP), • Paid parental leave, • Wellness initiatives and resources, • Free subscription to the Calm app, • Employee discount program, • 4 weeks of paid vacation + 10 paid holidays + paid sick leave, • Monthly mobile connectivity stipend, • Annual education stipend for lifelong learning, • Growth opportunities - we pride ourselves on creating environments where employees can be themselves and grow within and around the company $100,000 - $120,000 a yearEligibility Requirements:This position is based in the United States, and applicants must be legally authorized to live and work in the United States. Employees are required to reside within the United States for the duration of their employment. At Noodle, we hire people who will help us change the future of online education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Noodle is committed to creating a welcoming and inclusive workplace for everyone. We value and celebrate our differences because those differences are what make our team shine. We hire great people from different backgrounds, not just because it's the right thing to do, but because it makes us stronger as a whole. Women, people of color, LGBTQIA2S+ individuals, and members of other underrepresented groups are strongly encouraged to apply. Noodle is an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We have an immediate need for an Avionics Software or Systems Engineer. This position can either be direct in one of our office locations or as a remote contract. We are located in Phoenix, AZ, Cedar Rapids, IA, Grand Rapids, MI, Bothell, WA, Lexington, KY, and New Orleans, LA. Pay Range: $75/hr - $110/hr - DOE - Contract $75,000 - $145,000 - DOE - Direct Job Requirements • Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization, • Bachelors or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, Computer Systems Engineering, Mathematics, or equivalent development experience, • Significant Avionics Flight Controls software experience is required, • Strong object oriented language (C++, C#, Python, etc.) and software development methodologies (Waterfall, Agile, etc.), • Demonstrated teamwork and leadership abilities, • Embedded software experience is required Why work with those of us at Performance Software? Why change jobs or begin your career with us? Our Mission: Your success. How, you might ask? … By providing a company culture dedicated to a sensible work/life balance by hiring carefully selected team players with whom you will work; by encouraging each other to produce the best embedded software for safety critical (Avionics & Medical Instruments) systems in the country; by having “raving fans” (customers who come back to us regularly because we get it done right and on time). We’re a medium-sized company that’s growing rapidly, but which maintains that small company feel. At Performance, you’re not just a name & face or locked onto a fixed team maintaining legacy systems; instead, you’ll be working on a wide variety of projects using the full gamut of advanced software development technologies. We provide what great talent wants and deserves! About Performance: Performance Inc. is engaged in the design of Real-time Embedded Software. This includes avionics and healthcare applications such as CT Scanner, Synthetic Vision Cockpit Displays, Flight Management System Guidance and Navigation, Platforms (I/O, BITE, Driver, Boot, BSP, DSP, A/D, Dataloader), and Datalink Applications (FANS, VDL Mode 2, ATN, CPDLC). Our customers are both Commercial and Defense related healthcare and avionics manufacturers. We have locations in Phoenix, AZ, Cedar Rapids, IA, Grand Rapids, MI, Bothell, WA, Lexington, KY, and New Orleans, LA. We have been in business since 1998 and have been awarded INC 5000 Fastest Growing Companies and Best Places to Work in Arizona multiple years. Performance Software is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please discuss this with your recruiter if you are selected for an interview. To learn more about us: www.psware.com

Shift5 is the observability platform for onboard operational technology (OT). We’re a rapidly growing scale-up that specializes in cybersecurity, predictive maintenance, and compliance for OT systems across defense, aerospace, and rail. We are a collaborative, passionate, and driven cadre of dynamic, multidisciplinary experts focused on helping our customers’ fleets run smarter and safer by accessing and democratizing the volumes of onboard OT data generated by transportation, freight fleets, defense fleets, and other critical infrastructure. Come join us. Shift5 is seeking a Systems Engineer to join our team. In this role, you will be the bridge between our engineering teams and our real-world deployments. You will be responsible for overseeing how our system integrates into various DoW platforms, ensuring that all our subsystems—from embedded software, hardware, and cabling to visualization applications, networking schemes, and cloud environments—meet rigorous compliance and customer requirements. This role is hands-on and execution-oriented, focusing on systems engineering execution across one or more programs, including requirements management, system architecture, technical baseline control, and the delivery of formal systems artifacts (CDRLs/SDRLs) in support of U.S. Department of War (DoW) programs. This position is based out of our headquarters in Rosslyn, VA, but is open to remote candidates based out of San Diego, CA, Colorado Springs, CO, Fort Hood, TX, or Ogden, UT, and requires up to 30% travel to support customer site integrations and testing. • Platform Integration & Technical Execution: Define and design the integration of Shift5 software and hardware into customer platforms, including data interfaces, execution environments, OS-level configuration, network topology (TCP/IP, tactical radio/RF), encryption/key management, environmental qualification (MIL-STD), SWaP, cabling, and A-kit development. Identify and manage technical risks and dependencies. Requirements & Technical Baseline Management: Own and maintain system-level technical baselines across assigned programs. Oversee tracking, testing, and verification of compliance and customer requirements. Develop, decompose, and manage requirements documents (SRDs, SRSs, ICDs) and evaluate design updates for downstream program impact. CDRL & Technical Artifact Development: Lead the development, review, and delivery of formal systems engineering and Contract Data Requirements List (CDRL) artifacts for government acquisition programs, including V&V Plans, System Architecture/Design Documents, Configuration Management artifacts, and Technical Manuals. System Architecture & Design: Lead end-to-end, cross-discipline technical execution across software, platform, cyber, data science, and integration teams. Serve as the technical authority for system-level decisions across hardware, software, network, and platform interfaces. Verification, Validation & Test: Define system-level verification strategies, acceptance criteria, and testing execution. Perform system-level analyses including latency, throughput, network bandwidth allocation, platform stability, system safety, and fault tolerance (FMECA, Single-Point Failure). Program & Customer Engagement: Serve as a primary technical interface with customer engineering, PMOs, and certification authorities. Lead content development for formal technical reviews (SRR, PDR, CDR, TRRs) and define entry/exit criteria for milestone events. Mission-Critical Integration: You seamlessly bridge engineering teams and DoW platform deployments, ensuring complex hardware, software, and network subsystems meet strict airworthiness, safety, and compliance standards. Rigorous Baseline Control: You independently own and manage technical baselines, CDRL deliverables, and requirements traceability with zero friction across fast-moving defense acquisition programs. Cross-Disciplinary Technical Authority: You serve as a trusted technical lead across software, cyber, hardware, and platform teams, translating complex operational constraints into robust, scalable architecture designs. Customer & Program Execution: You build high-trust relationships with customer PMOs and engineering authorities, successfully navigating technical gates (PDR, CDR, TRR) to advance platform capabilities. Required: Education: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field. Experience: 5+ years of experience in systems, integration, or software engineering, preferably within the aerospace, defense, or high-reliability electronics sectors. Government Acquisition Knowledge: Familiarity with common government contract documentation according to DIDs (SRD, SRS, IDD, ICD, SDD, CSA, etc.). Technical & Integration Skills: Strong understanding of configuration management, software/OS integration (Linux/Unix), network architectures (TCP/IP, routing, VLANs), radio/RF communications, encryption protocols, and basic hardware/cabling integration in safety-critical/airworthiness environments. Testing & Verification: Demonstrated experience with common system verification methods (Test, Inspection, Demonstration, Analysis), hardware-in-the-loop (HIL) lab environments, and software-in-the-loop setups. Security Clearance: Active Security Clearance. Soft Skills: Excellent written and verbal communication skills with the ability to coordinate across diverse engineering disciplines, project managers, and external government stakeholders. Preferred: Industry & Quality Standards: Familiarity with industry design standards such as DO-178 and DO-254. Quality Frameworks: Familiarity with quality standards such as AS9100 and ISO 9001. Base Salary: $143,000 - $156,000 Bonus program and equity in a fast-growing startup Competitive medical, dental, and vision coverage for employees and their families Health Savings Account with annual employer contributions Employer-paid Life and Disability Insurance Uncapped paid time off policy Flexible work & remote work policy Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA) We are committed to building an inclusive culture of belonging that embraces the diversity of our people and represents the communities in which we work and the customers we serve. We know the happiest and highest performing teams include people with diverse perspectives and ways of solving problems. We strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work. Shift5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identify, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class. _

Position: Network & Computer Systems Engineer Location: Remote Terms: Full Time Clearance: Ability to obtain a Public Trust Clearance Travel: 0–10% We’re a mission-driven IT services company and systems integrator supporting digital transformation and modernization for Federal government agencies. Since 2009, we’ve partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference. We don’t just develop solutions—we support efforts that strengthen communities and serve the public good. RIVA’s culture is built on four core values: Results, Innovation, Values, and Accountability. They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work. By investing in our people and fostering a flexible, supportive environment, you will have the opportunity to grow your skills, contribute ideas, and make an impact from day one—all while supporting missions that matter. Program Overview The Network and Computer Systems Administrator (Firewall Engineer) supports secure, reliable enterprise network and security operations for a Federal customer. The role helps sustain mission-critical connectivity and access across LAN, WAN, internet, wireless, firewall, network access control, load-balancing, endpoint management, and security-monitoring technologies. The position also contributes to continuous diagnostics and mitigation activities, vulnerability remediation, configuration compliance, and service continuity across the enterprise environment. Position Overview RIVA Solutions is seeking an experienced Network and Computer Systems Administrator (Firewall Engineer) to install, configure, operate, maintain, and troubleshoot enterprise network and security infrastructure. The ideal candidate brings hands-on expertise with Palo Alto Networks firewalls, Cisco Identity Services Engine, enterprise wireless technologies, F5 Networks load balancing, Splunk or comparable SIEM platforms, and endpoint-management tools. This role works closely with cybersecurity, infrastructure, application, and service-management teams to maintain secure access, resolve incidents, implement approved changes, and improve network performance and resilience. Core Responsibilities • Install, configure, administer, and maintain LAN, WAN, internet, wireless, and enterprise network-security infrastructure., • Administer and support Palo Alto Networks firewalls, including security policies, rules, upgrades, configuration changes, and logging., • Support Cisco Identity Services Engine (ISE) for network access control, authentication, authorization, and endpoint visibility., • Configure and troubleshoot enterprise Wi-Fi networks, wireless controllers, access points, and wireless-security standards., • Administer and support F5 Networks load balancers and related application-delivery services., • Monitor network availability, capacity, performance, and security events; identify abnormal behavior and service degradation., • Troubleshoot network outages, firewall issues, wireless connectivity problems, access-control failures, VPN issues, and performance problems., • Review network and security logs using Splunk and other SIEM tools to support incident analysis and operational monitoring., • Support Continuous Diagnostics and Mitigation (CDM) activities, including vulnerability remediation and configuration-compliance efforts., • Support mobile-device and endpoint management using VMware AirWatch and Microsoft Intune., • Perform network-device maintenance, patching, software upgrades, configuration changes, and lifecycle support., • Develop and maintain technical documentation, network diagrams, standard operating procedures, configuration records, and implementation plans., • Coordinate with cybersecurity, infrastructure, application, and service-management teams to resolve incidents and implement approved changes. Minimum Qualifications • Bachelor’s degree in Information Technology, Computer Science, Cybersecurity, Engineering, or a related field. Relevant professional experience may be considered in lieu of a degree., • Four (4) years of relevant network or systems administration experience, including at least two (2) years of hands-on experience supporting enterprise firewalls, network access control, wireless networks, or related network-security technologies., • Experience administering and supporting enterprise network and security infrastructure., • Hands-on experience with Palo Alto Networks firewalls., • Experience with Cisco Identity Services Engine (ISE) and network access control technologies and processes., • Experience supporting enterprise wireless networks, wireless controllers, access points, and applicable wireless-network standards., • Experience with F5 Networks load-balancing and application-delivery technologies., • Experience using Splunk or another SIEM platform for security and operational monitoring., • Experience supporting continuous diagnostics and mitigation, vulnerability remediation, or configuration-compliance activities., • Experience with VMware AirWatch and Microsoft Intune for endpoint or mobile-device management., • Knowledge of LAN, WAN, TCP/IP, DNS, DHCP, routing, switching, firewalls, VPNs, access-control lists, and network-security principles., • Experience monitoring, troubleshooting, maintaining, patching, and upgrading network devices and services., • Ability to develop clear technical documentation and communicate effectively with both technical and nontechnical stakeholders., • Ability to obtain and maintain a Government Public Trust background investigation or designation. Preferred Qualifications • Experience supporting Federal Government networks or other regulated enterprise environments., • Experience with Palo Alto Panorama for centralized firewall management., • Experience with Cisco wireless controllers, routers, and switches., • Experience supporting vulnerability remediation, security hardening, and compliance activities., • Cisco, Palo Alto Networks, CompTIA, Splunk, F5, Microsoft, or VMware certifications. Salary $95,000 RIVA Benefits • Paid Time Off / Sick Leave, • Health, Dental, and Vision Coverage, • Life Insurance, • 401(k) Retirement Plan with Company Match, • HSA/FSA Spending Accounts, • Long- and Short-Term Disability, • Pet Insurance, • Wellness Program Initiatives, • RIVA Flex (Flexible Hours and Hybrid Support, where applicable), • Additional Workplace Benefits Equal Opportunity Statement RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and related conditions), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any protected class. If you need a reasonable accommodation to search for a job opening or to submit an online application, please email _. Only messages left for this purpose will be returned.

Long Wall Company was created in 2024 to accelerate missile defense technology for the U.S. and our allies. We specialize in ballistic missile defense and are developing Cyclops, a low-cost, mass-producible interceptor. We also produce containerized launchers and offer low-cost targets for threat replication. The future of global security depends on defensive technology that redefines cost, magazine depth, and distribution to deter and defend against evolving threats. Join us. WHAT WE LOOK FOR Mission-Driven Problem Solvers – The problems in missile defense demand ingenuity. We want engineers who approach challenges with curiosity, embrace failure as a learning opportunity, and stay focused on delivering the best solution for the mission. Total Ownership – We seek engineers who take full responsibility for delivering flight-ready work while recognizing that no one succeeds alone. The best engineers make their teammates better, knowing that complementary skills create force multiplication and drive mission success. DESCRIPTION The Lead Systems Engineer for the Cyclops Interceptor Program owns system level requirements, architecture, interface definition, and verification planning for Long Wall’s interceptor. This role provides the technical backbone of the program, ensuring that all engineering work across propulsion, avionics, structures, mechanisms, GNC, software, and integration aligns with a coherent and traceable system design. Operating closely with the program’s Chief Engineer, Project Engineer and Responsible Engineers, the Lead Systems Engineer creates and maintains the structured technical framework that enables disciplined development. They ensure that architectures scale, requirements remain traceable, interfaces stay stable, and verification flows match both government‑funded testing and rapid internal development. • Own system level requirements for the Cyclops interceptor; define, refine, organize, and maintain requirements throughout the design and verification lifecycle., • Build and maintain full traceability from customer objectives to subsystem requirements, ensuring visibility and coherence across all engineering disciplines., • Develop and maintain the system architecture, integrating propulsion, avionics, structures, mechanisms, GNC, software, manufacturing constraints, and test operations into a stable, scalable design., • Establish, maintain, and control Interface Control Documents (ICDs); ensure physical, electrical, data, and software interfaces remain stable and rigorously evaluated., • Own the system level verification plan, defining verification methods, test flows, analysis strategies, and requirement closure mechanisms., • Coordinate with engineering discipline leads to ensure subsystem designs align with system architecture, requirements, interfaces, and verification constraints., • Partner with the Project Engineer to ensure development schedules reflect requirements flow, architecture constraints, integration needs, and verification planning., • Support the Chief Engineer by supplying structured system artifacts needed to maintain the technical baseline and adjudicate major technical decisions., • Work closely with Mission Assurance to ensure system requirements, architectures, and verification plans support safety, reliability, and readiness criteria., • Lead system level technical reviews and major integration checkpoints; ensure system artifacts are complete, configuration controlled, and defensible., • Maintain discipline in managing changes to requirements, interfaces, architecture, and configuration, ensuring all modifications are evaluated for system level impact., • Support integration, test activities, and government milestone engagements by providing clear technical documentation, readiness artifacts, and configuration clarity, • Bachelor’s degree in Systems Engineering, Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or related discipline., • 8+ years of experience in systems engineering for aerospace, defense, or complex technical systems., • Demonstrated experience defining requirements, architecture, and verification plans for multi-discipline systems., • Experience with interface control documentation, configuration management, and system level technical reviews., • Proven ability to build and maintain system level requirements, traceability matrices, and structured technical artifacts., • Strong understanding of aerospace subsystems and how they integrate into coherent system architectures., • Ability to define, review, and manage interface documentation and configuration structures., • Experience developing verification plans, test flows, and requirement closure strategies for complex systems., • Excellent communication skills; able to translate detailed technical architecture into clear guidance across engineering disciplines and program leadership., • Ability to operate effectively in fast‑paced environments that combine rapid internal development with structured external demands., • Prior systems engineering leadership experience on missile, interceptor, launch vehicle, spacecraft, or other multi‑discipline aerospace systems., • Familiarity with government customers, milestone reviews, and structured technical documentation environments., • Familiarity with requirements tools (e.g., DOORS, Jama, JIRA) and model‑based systems engineering approaches., • Understanding of mission assurance, safety analysis, and reliability engineering for flight systems., • Experience scaling systems engineering practices as products move from prototype to production., • Ability to sit or stand for extended periods., • Ability to use a computer for assignments and communicate effectively in person, via telepresence, and by phone., • Ability to travel between Long Wall sites as needed $150,000 - $230,000 a year • P4: $150,000 to $190,000, • P5: $185,000 to $230,000 The posted pay range reflects the base salary range for this role in California only, and is the lowest to highest compensation range we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. In addition to base pay and equity, we offer: • Heavily employer-subsidized medical, dental, and vision insurance plans, • Long Wall paid life insurance and LTD coverage, • 4% 401k match, • Student loan repayment assistance program, • Paid parental leave, • Family planning assistance program, • Long Wall paid financial wellness program, • Paid time off for non-exempt employees and flexible vacation policy for exempt employees ITAR Requirement This position requires access to information protected under US export control laws, including the International Traffic in Arms Regulations and/or the Export Administration Regulations. As such, US person status (including US citizens, U.S. permanent residents, individuals granted U.S. asylum status, or individuals admitted in U.S. refugee status) is a required qualification for this position. Equal Opportunity Employer We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability, genetics, or citizenship status (when otherwise legally authorized to work and access export-controlled data) and will not be discriminated against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants of all ages.