Reliability engineer jobs in United States

You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify Amazon Neuron adoption, which is critical to Amazon's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on Amazon's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: • Research implementations that deliver the best possible experiences for customers., • Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron., • Build and operate agentic evaluation frameworks, monitoring, and feedback loops that ensure the correctness, reliability, and continuous improvement of AI agents, • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security., • Build high-quality, highly available, always-on products., • Potentially contribute intellectual property through patents About the team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our Amazon customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with Neuron, Inferentia and Trainium ML chips, in networking and security with products such as Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with Graviton and F1 EC2 instances. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • 1+ years of software development engineer or related occupational experience, • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience, • 1+ years of Object Oriented Design experience, • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, • Experience programming with at least one software programming language, • 3+ years of relevant, broad engineering experience., • Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages., • Hands-on technical experience working in the Generative AI space, • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations., • Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math., • Passion for customer experience and usability, including successful delivery of customer self-service tools and automated management/optimization of services, and a strong services orientation, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Bachelor's or Master's degree in computer science or equivalent, • 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms, • Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization, • Experience working with open-source software communities in the optimization space or related areas, • Domain-level knowledge of AWS services, • Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 158,100.00 - 213,800.00 USD annually

Engineering Program Graduate? Learn, Travel, & Build a Specialized Career \n \n Associate Loss Control Engineer #2798 \n \n Engineers know how equipment is designed. Operators know what the equipment can do. Technicians know how to maintain and optimize the equipment. \n \n This role is about learning how to combine that knowledge to identify vulnerabilities. \n \n As an Associate Loss Control Engineer, you'll join a structured development program designed for early-career engineers who are curious, motivated, and eager to build technical expertise. Your journey begins with training, research, independent study, and mentorship from experienced engineers. As your knowledge grows, you'll transition into the field, visiting industrial facilities and learning firsthand how critical mechanical and electrical systems affect the ability of a facility to operate efficiently and profitably. \n \n What You'll Do \n\n • Learn from experienced loss control engineering professionals through structured training and mentoring\n, • Research and develop expertise in mechanical, electrical, and industrial equipment and how these are used in industrial settings\n, • Participate in facility inspections and engineering surveys\n, • Help identify equipment reliability and operational risks\n, • Prepare professional technical reports\n, • Support client meetings, presentations, and consulting projects\n, • Build trusted relationships with clients across a variety of industries\n\n \n Who We're Looking For \n\n • Bachelor’s degree in mechanical engineering or a related engineering discipline\n, • Recent graduates and early-career engineers encouraged to apply\n, • Strong technical curiosity and a passion for learning\n, • Excellent communication and problem-solving skills\n, • Ability to work independently while collaborating with a broader team\n, • Willingness to travel\n\n \n Why This Opportunity Stands Out \n This isn't a traditional entry-level engineering role. It's an opportunity to: \n \n ✅ Learn from industry experts \n ✅ Gain exposure to complex industrial operations \n ✅ Travel to facilities across North America \n ✅ Build specialized expertise in loss control, risk, and reliability engineering \n ✅ Accelerate your career through mentorship and professional development \n \n Compensation & Benefits \n \n Salary Range: $68,000 - $74,000 annually with performance reviews every 6 months for the first 2 years of employment. \n \n We also offer medical, dental, vision, 401(k) with company match, paid time off, professional development opportunities, and long-term career growth within a global organization. \n \n Ready to Go Beyond the Classroom? \n \n If you're the type of engineer who enjoys figuring out how things work, solving real-world problems, and building a career that's anything but ordinary, we'd love to hear from you. \n \n Apply today and begin your journey to being a trusted loss control and risk management engineer.

Lawrence Harvey is partnered with a financial services firm that's looking to expand their security team. This client is looking for a D&R Engineer to take ownership of the program and build it from the ground up. \n \n The Opportunity \n We are seeking a Principal Detection & Response Engineer to take ownership of the organization's detection and response capabilities across a complex, highly regulated environment. \n This is a senior individual contributor role with broad technical ownership across the full detection and response lifecycle: from telemetry collection and threat intelligence through detection engineering, AI-assisted triage, investigation, and incident response. \n The ideal candidate is highly hands-on, technically strong, and passionate about engineering detection and response capabilities rather than simply operating them. You will set technical standards, build scalable security tooling, improve automation, and apply AI where it can meaningfully improve security operations. \n \n What You'll Do \n\n • Own the end-to-end detection and response pipeline, including telemetry collection, processing and enrichment, detection, AI-assisted triage, investigation, escalation, and incident response.\n, • Build and maintain an intelligence-informed prioritization framework that translates threat intelligence and organizational risk into prioritized hardening, detection, and automation initiatives.\n, • Develop detections as code, including versioned, tested, peer-reviewed detection logic and pipeline configuration mapped to MITRE ATT&CK or a comparable framework.\n, • Engineer, tune, and operate SIEM, security data pipelines, EDR, SOAR, and case-management platforms to improve signal quality, coverage, reliability, and cost efficiency.\n, • Establish standards for alert triage, investigation, escalation, and response while developing tooling and AI-assisted workflows to support those standards.\n, • Participate in an on-call rotation and remain directly involved in the operational realities of detection and response.\n, • Lead incident response from identification through containment, investigation, remediation, and post-incident activities across corporate, cloud, production, and operational technology environments.\n, • Develop detection and response coverage for threats\n, • Evaluate and implement new security technologies and AI capabilities, including rigorous testing, guardrails, and build-vs-buy-vs-retire recommendations.\n, • Lead tabletop exercises and continuously improve incident response playbooks.\n, • Partner closely with Security Engineering, Infrastructure, Platform, and GRC teams.\n, • Translate technical threats into business risk, security controls, and executive-level communication.\n, • Mentor engineers and help establish a higher engineering standard across the broader security operations function.\n\n \n Required Experience \n\n • 10+ years of experience across security operations, detection engineering, and incident response, including experience building or maturing detection and response capabilities in complex environments.\n, • Strong software engineering skills in Python or Go, including API-driven integrations and automation.\n, • Experience with Infrastructure as Code and detections as code, ideally using Terraform and Git-based development/review workflows.\n, • Proven experience designing, operating, and measuring an end-to-end detection and response program across modern SIEM, security data pipeline, EDR, and automation platforms.\n, • Strong experience detecting and responding in cloud and identity-centric environments, including AWS, Okta or another enterprise identity provider, Microsoft 365 or Google Workspace, and SaaS audit logging.\n, • Strong understanding of attacker tactics, techniques, and procedures, with the ability to translate threat intelligence into high-fidelity detections and prioritized security improvements.\n, • Demonstrated use of AI in security operations, including LLM-assisted investigation and detection development, agentic tooling, and integrations such as Claude Code and MCP.\n, • Strong judgment around AI-generated output, including the ability to identify when models are inaccurate or introducing risk.\n, • Ability to operate at a principal-level IC capacity, setting technical direction and influencing teams without direct authority.\n, • Strong communication skills with the ability to connect threat → risk → control → business impact.\n\n

Founding Tech Lead \n $185,000–$215,000 base + 1.5%–2.0% equity \n New York City (Hybrid) \n \n We are working with an early-stage software company building a revenue intelligence platform for complex insurance workflows. \n \n The company helps multi-location healthcare operators identify and recover insurance underpayments by reconciling contracts, claims, fee schedules, and remittance data, then automating evidence-backed recovery workflows. \n \n Following a recent pre-seed raise, the team has strong runway, active design partners, and growing enterprise demand. They are now hiring their first full-time engineer to help lead technical direction and shape the future engineering team. \n \n The Role \n You’ll work directly with the founders and take broad ownership across the platform. \n This is a highly hands-on role spanning product engineering, data systems, integrations, infrastructure and AI-driven workflows. You’ll help define technical direction, make key architectural decisions and play a major role in hiring and mentoring future engineers. \n \n What You’ll Do \n\n • Own critical systems across data ingestion, reconciliation and recovery workflows.\n, • Help set technical direction and make key architectural decisions.\n, • Build reliable integrations across contracts, claims, remittance and customer data.\n, • Develop evaluation and monitoring systems for models and automated workflows.\n, • Work directly with customers to turn complex operational problems into simple products.\n, • Shape engineering standards, processes and technical quality.\n, • Help hire, onboard and mentor future engineers as the team grows.\n\n \n What You’ll Bring \n\n • Strong software engineering fundamentals and experience owning important production systems.\n, • Experience building products in an early-stage or fast-moving environment.\n, • Strong product judgement and comfort working directly with customers.\n, • Confidence making architectural decisions with limited direction.\n, • Experience using modern AI tools while validating outputs and managing reliability.\n, • An interest in technical leadership, mentoring and team building.\n, • Healthcare, fintech or regulated-industry experience is useful but not required.\n\n \n Tech Stack \n\n • LLMs and agentic systems\n, • Data pipelines and integrations\n, • APIs and backend systems\n, • Relational and analytical databases\n, • Cloud infrastructure\n, • Secure multi-tenant architecture\n, • Observability and monitoring\n\n \n Why Join? \n This is a true founding technical role with direct influence over the product, architecture and engineering culture. \n \n You’ll work closely with the founders, help lead technical direction and play a major role in building the engineering team from the ground up. \n \n About People In AI \n People In AI partners with ambitious technology companies to build world-class technical teams, connecting exceptional engineering and AI talent with high-impact opportunities.

Senior SailPoint IdentityIQ (IIQ) Engineer / Technical Lead \n Location: Newark, NJ (Hybrid – 3 Days Onsite: Tuesday, Wednesday & Thursday) Employment Type: Contract Work Arrangement: Hybrid \n \n Job Description \n We are seeking an experienced Senior SailPoint IdentityIQ (IIQ) Engineer / Technical Lead to support and enhance a large enterprise Identity and Access Management (IAM) environment. The ideal candidate will have extensive hands-on experience with on-premises SailPoint IIQ, application onboarding, connector development, provisioning, workflows, customizations, and identity governance. \n This is a hands-on engineering position focused on maintaining, troubleshooting, and improving an existing SailPoint IIQ platform. Strong on-premises IIQ experience is mandatory. \n \n Key Responsibilities \n\n • Engineer, configure, administer, and troubleshoot an existing on-premises SailPoint IdentityIQ environment.\n, • Develop and maintain SailPoint IIQ workflows, rules, lifecycle events, policies, certifications, roles, and provisioning processes.\n, • Lead application onboarding, connector configuration, and integrations with enterprise applications.\n, • Develop SailPoint customizations using Java, BeanShell, APIs, and IIQ rules.\n, • Troubleshoot provisioning failures, identity aggregation, workflows, connectors, and identity-data issues.\n, • Integrate SailPoint IIQ with Active Directory, LDAP, databases, and other enterprise systems.\n, • Improve platform performance, reliability, security, and operational efficiency.\n, • Collaborate with IAM, cybersecurity, infrastructure, and application teams.\n, • Provide technical leadership, resolve complex production issues, and guide other engineers.\n\n \n Required Qualifications \n\n • 5+ years of hands-on SailPoint IdentityIQ (IIQ) experience.\n, • Strong experience with on-premises SailPoint IIQ implementations and production support (mandatory).\n, • Proven experience with application onboarding, connector development, and enterprise integrations.\n, • Hands-on experience with Java, BeanShell, SailPoint rules, workflows, and APIs.\n, • Strong understanding of Identity Governance and Administration (IGA), identity lifecycle management, access certifications, roles, policies, and provisioning.\n, • Experience integrating SailPoint with Active Directory, LDAP, databases, and enterprise applications.\n, • Strong troubleshooting skills in complex enterprise IAM environments.\n, • Experience working independently and providing technical guidance to engineering teams.\n\n \n Preferred Qualifications \n\n • SailPoint certifications.\n, • Experience with SailPoint Identity Security Cloud (ISC) / IdentityNow.\n, • Experience modernizing existing IIQ environments or planning cloud migrations.\n, • Experience with CyberArk, SSO, MFA, and API-driven integrations.\n, • Background in utilities, financial services, critical infrastructure, or other regulated industries.\n, • Previous experience as a Senior Engineer or Technical Lead.\n\n

Job Title: SQL Server Database Architect & Data Engineer \n Location: New York, NY - Hybrid; 3 days onsite, 2 days remote \n Duration: Thru 2/28/2027 (very likely to be extended) \n Pay Range: $70-75/hr (W2), depending on experience \n Interview Process: First round virtual via MS Teams, 2nd round likely onsite in New York, NY \n \n Position Overview \n Our Fortune 500 client located in New York, NY is seeking an experienced Senior SQL Server Database Architect & Data Engineer to design, administer, optimize, integrate, and govern enterprise data platforms supporting critical business applications, analytics, reporting, and digital transformation initiatives. \n This is a senior, hands-on hybrid role combining database architecture, SQL Server administration, and data engineering. The successful candidate will be responsible for building and maintaining scalable, secure, highly available database solutions while developing enterprise ETL processes, data pipelines, data warehouse/lake solutions, and reporting capabilities. \n The ideal candidate brings deep Microsoft SQL Server and advanced SQL/T-SQL expertise, complemented by experience with SSIS, data warehousing, data lakes, Power BI, Python, PowerShell, performance tuning, backup/recovery, disaster recovery, and database security. \n Key Responsibilities \n Database Architecture & Data Modeling \n\n • Design and maintain enterprise database architectures supporting transactional, analytical, and operational applications.\n, • Develop conceptual, logical, and physical data models aligned with business and technical requirements.\n, • Establish and maintain database architecture standards, design principles, governance practices, and data-management standards.\n, • Design scalable, secure, highly available, and resilient database environments.\n, • Architect solutions for high availability, replication, disaster recovery, backup/recovery, and business continuity.\n, • Facilitate database architecture reviews and technical design sessions.\n\n SQL Server Database Administration \n\n • Administer and support enterprise Microsoft SQL Server environments.\n, • Monitor database health, availability, performance, capacity, and utilization.\n, • Perform advanced database performance tuning, indexing, query optimization, and performance analysis.\n, • Develop and optimize SQL/T-SQL scripts, queries, stored procedures, and other database objects.\n, • Implement and maintain backup, recovery, replication, security, and access-control solutions.\n, • Troubleshoot complex production database issues, perform root-cause analysis, and implement long-term corrective solutions.\n, • Support capacity planning, monitoring, maintenance, upgrades, and ongoing database operations.\n, • Participate in planned maintenance activities and provide support during critical production incidents when required.\n\n Data Engineering & ETL \n\n • Design, develop, maintain, and optimize enterprise ETL processes and data pipelines.\n, • Develop data integration solutions using SSIS, SQL/T-SQL, Python, PowerShell, and other automation technologies.\n, • Support enterprise data warehouse, data lake, and lakehouse architectures.\n, • Develop data cleansing, transformation, validation, reconciliation, and integration processes.\n, • Automate data movement and recurring operational processes using modern scripting and engineering practices.\n, • Ensure reliable movement and integration of data across enterprise applications, databases, analytics platforms, and reporting environments.\n\n Analytics & Business Intelligence \n\n • Support enterprise analytics, business intelligence, and reporting initiatives.\n, • Develop and maintain data structures supporting analytical and reporting requirements.\n, • Partner with business and technical teams to provide reliable, analytics-ready enterprise data.\n, • Support Power BI and related enterprise reporting solutions.\n, • Improve data availability, quality, performance, and usability for downstream reporting and analytics.\n\n Data Governance, Security & Compliance \n\n • Follow enterprise standards for data governance, metadata management, master data management, and data architecture.\n, • Maintain data quality, integrity, consistency, and lineage across enterprise systems.\n, • Implement and maintain role-based access controls, auditing, and database security standards.\n, • Partner with cybersecurity and compliance teams to protect critical enterprise data assets.\n, • Support regulatory, audit, SOX, and data-retention requirements.\n, • Incorporate security and governance requirements into database architecture and data-engineering solutions.\n\n Technical Leadership & Collaboration \n\n • Partner with business stakeholders, application-development teams, infrastructure teams, cybersecurity, analytics teams, and external contractors.\n, • Lead and participate in database architecture reviews and technical design discussions.\n, • Provide senior-level technical guidance across database administration, architecture, and data-engineering initiatives.\n, • Develop and maintain technical documentation covering database environments, development environments, standards, procedures, current initiatives, and operational responsibilities.\n, • Manage multiple technical priorities while supporting both strategic initiatives and ongoing production operations.\n\n Required Qualifications \n\n • 10+ years of experience in database administration, database architecture, database design, or closely related disciplines.\n, • 5+ years supporting enterprise or large-scale organizational environments.\n, • Deep hands-on expertise administering and supporting Microsoft SQL Server.\n, • Advanced proficiency with SQL and T-SQL, including complex queries, scripting, and stored procedures.\n, • Strong database architecture and relational data-modeling experience.\n, • Strong experience with SSIS and enterprise ETL development.\n, • Experience designing, developing, or supporting data warehouses and data lakes.\n, • Hands-on experience with Python and PowerShell for scripting, automation, data processing, or operational support.\n, • Experience supporting Power BI and enterprise analytics/reporting requirements.\n, • Strong database performance-tuning experience, including indexing and query optimization.\n, • Experience with database backup/recovery, disaster recovery, security, capacity planning, monitoring, and automation.\n, • Demonstrated enterprise data-integration and analytics experience.\n, • Strong troubleshooting, analytical, and root-cause-analysis capabilities.\n, • Understanding of data governance, data quality, security, access control, and cybersecurity principles.\n, • Strong written and verbal communication skills with the ability to communicate technical concepts effectively to technical stakeholders.\n, • High school diploma, associate degree, bachelor's degree, or an equivalent combination of education and relevant professional experience.\n\n Preferred Qualifications \n\n • Experience with additional scripting and development technologies such as VBA and shell scripting.\n, • Experience designing or supporting lakehouse architectures.\n, • Experience with metadata management, master data management, and data lineage.\n, • Experience supporting regulatory, audit, SOX, or enterprise data-retention requirements.\n, • Experience developing database standards, governance frameworks, and technical operating procedures.\n, • Experience leading technical initiatives and coordinating work across application, infrastructure, security, analytics, and business teams.\n\n Working Environment \n This is a contract position operating within a hybrid work environment consisting of both onsite and remote work. The position may require participation in planned maintenance windows, occasional after-hours activities, and on-call support during critical production incidents. \n What We're Looking For \n The ideal candidate is more than a traditional SQL Server DBA. We are looking for a senior-level professional who can operate across database architecture, hands-on SQL Server administration, and modern data engineering. \n You should be equally comfortable designing database architectures, writing advanced SQL/T-SQL and stored procedures, troubleshooting SQL Server performance, developing SSIS ETL solutions, working with data warehouses and data lakes, automating processes with Python and PowerShell, and supporting Power BI and analytics initiatives. You bring an operational mindset to reliability and security while also having the architecture and engineering skills to help evolve enterprise data platforms for future business needs. \n \n About Seneca Resources \n At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. \n When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. \n Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

Senior Mechanical Engineer – Advanced Robotics \n NYC/Brooklyn | $180K–$300K Base + Meaningful Equity | Early-Stage \n \n We’re working with an early-stage robotics company building highly capable humanoid robots designed to perform real-world physical work across manufacturing — including manipulation, assembly and other tasks traditionally performed by people. \n \n You'll be joining a 5-person engineering team at the point where the product is moving from early prototypes into a much more sophisticated hardware platform. Following a significant funding round, they’re now scaling the core engineering team with 4–5+ hires across mechanical, electrical, controls and robotics. \n \n As their Senior Mechanical Engineer, this is an opportunity to have real ownership of the physical architecture of the robot rather than owning one small part of an established product. \n \n What you'll be doing \n \n You’ll own the mechanical design of the robot, taking systems from concept through prototyping, testing and iteration. \n\n • Designing mechanisms, joints, linkages and actuator systems\n, • Developing mechanical architectures for dynamic robotic systems\n, • CAD, prototyping and hands-on hardware testing\n, • Designing around motors, gearboxes, bearings and other electromechanical components\n, • Structural design, tolerancing, materials and mechanical analysis\n, • Designing for manufacturability, assembly and reliability\n, • Working closely with electrical, controls and robotics engineers\n, • Helping shape the mechanical architecture as the team scales\n\n \n What they're looking for \n\n • Mechanical Engineers with strong hands-on experience designing and building complex electromechanical systems.\n, • Experience with robotics, robotic arms, automation, actuators, mechanisms or other advanced hardware would be highly relevant.\n, • Strong CAD and mechanical design experience, with a track record of taking hardware from concept through prototyping and testing.\n, • You don't necessarily need previous humanoid robotics experience — they're interested in engineers who have worked on sophisticated moving hardware and enjoy solving difficult mechanical problems.\n\n \n They’re looking to hire multiple engineers, with salaries ranging from $180,000–$300,000 base + meaningful equity. \n \n If you've been waiting for the opportunity to join before the team and product are fully built, with a huge level of ownership over the mechanical design of the platform, this is exactly that. \n

Position: GCP Data Engineer \n Location: NYC, NY or Charlotte, NC \n Work model: 3 days/week onsite. \n Type: Fulltime/Permanent. \n \n Job Summary \n We are looking for a skilled GCP Data Engineer to design, build, and maintain scalable data pipelines and data solutions on Google Cloud Platform (GCP). The ideal candidate should have experience working with large datasets, cloud-based data services, and modern data engineering practices. \n \n Key Responsibilities \n\n • Design and develop batch and real-time data pipelines on GCP.\n, • Build and maintain data integration and ETL/ELT processes.\n, • Work with structured and unstructured data from multiple sources.\n, • Develop solutions using GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.\n, • Optimize data pipelines for performance, scalability, and reliability.\n, • Collaborate with data analysts, data scientists, and business stakeholders to support reporting and analytics requirements.\n, • Implement data quality, monitoring, and governance best practices.\n, • Troubleshoot and resolve data-related issues.\n\n \n Required Skills \n\n • 5+ years of experience in Data Engineering.\n, • Hands-on experience with Google Cloud Platform (GCP).\n, • Strong knowledge of BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.\n, • Experience with SQL and Python.\n, • Knowledge of ETL/ELT development and data warehousing concepts.\n, • Familiarity with Spark and distributed data processing frameworks.\n, • Experience with workflow orchestration tools such as Airflow/Cloud Composer.\n, • Understanding of CI/CD and version control tools like Git.\n\n \n The base compensation range for this role in the posted location is: $96,000 - 115,000 \n Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. \n The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. \n These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. \n It is not typical for candidates to be hired at or near the top of the posted compensation range. \n In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. \n \n Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: \n\n • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave\n, • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)\n, • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\n, • Life and disability insurance\n, • Employee assistance programs\n, • Other benefits as provided by local policy and eligibility\n\n Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. \n \n Disclaimers \n Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. \n This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. \n Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. \n Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law \n \n Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

One of the leading providers of best-in-class information technology services and solutions is looking for a Senior Integration Engineer to join their Hybrid New York, NY team! \n \n Our client is seeking an experienced Senior Integration Engineer to design, build, deploy, and support enterprise integrations with a primary focus on Workday and Boomi. This individual will work with HR and Finance data, develop integrations across enterprise systems, and support highly sensitive PII within a secure environment. The ideal candidate will bring strong hands-on experience with Boomi, Workday integrations, C#, Python, SQL, and APIs. \n \n Contract Duration: 6-12-Month Contract with the opportunity for extension or conversion \n \n \n Required Skills & Experience \n\n • 4+ years of integration engineering experience.\n, • Strong hands-on Workday integration experience, including Web Services, EIBs, Core Connectors, and RaaS.\n, • Hands-on experience with Boomi or a comparable iPaaS platform; strong Boomi experience is highly preferred.\n, • Development experience with C# and Python.\n, • Strong SQL skills for data validation, reconciliation, and troubleshooting.\n, • Experience integrating systems using REST, SOAP, SFTP, JSON, XML, CSV, and database connections.\n, • Familiarity with AWS, Azure, or GCP.\n, • Experience supporting production integrations, troubleshooting failures, and resolving incidents.\n\n \n What You Will Be Doing \n Daily Responsibilities \n\n • Design and develop Boomi processes for data extraction, transformation, routing, validation, mapping, and delivery.\n, • Build and support integrations across Workday HCM, Finance, Payroll, Benefits, and Recruiting.\n, • Configure Boomi connectors, maps, profiles, process logic, and exception handling.\n, • Develop and support automated user-provisioning integrations with Google Workspace and other downstream systems.\n, • Create custom APIs, scripts, and integration components using C# and Python.\n, • Implement logging, alerting, retry, and error-handling frameworks to improve integration reliability.\n, • Monitor production integrations, troubleshoot failures, and provide incident support.\n, • Perform data cleansing, reconciliation, and troubleshooting using SQL, XSLT, and scripting.\n, • Maintain technical documentation and runbooks for integrations, deployments, and support procedures.\n\n \n \n You will receive the following benefits: \n\n • Medical Insurance - Four medical plans to choose from for you and your family\n, • Dental & Orthodontia Benefits\n, • Vision Benefits\n, • Health Savings Account (HSA)\n, • Health and Dependent Care Flexible Spending Accounts\n, • Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance\n, • Hospital Indemnity Insurance\n, • 401(k) including match with pre and post-tax options\n, • Paid Sick Time Leave\n, • Legal and Identity Protection Plans\n, • Pre-tax Commuter Benefit\n, • 529 College Saver Plan\n\n \n Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

One of the leading providers of best-in-class information technology services and solutions is looking for a Senior Integration Engineer to join their Hybrid New York, NY team! \n \n Our client is seeking an experienced Senior Integration Engineer to design, build, deploy, and support enterprise integrations with a primary focus on Workday and Boomi. This individual will work with HR and Finance data, develop integrations across enterprise systems, and support highly sensitive PII within a secure environment. The ideal candidate will bring strong hands-on experience with Boomi, Workday integrations, C#, Python, SQL, and APIs. \n \n Contract Duration: 6-12-Month Contract with the opportunity for extension or conversion \n \n \n Required Skills & Experience \n\n • 4+ years of integration engineering experience.\n, • Strong hands-on Workday integration experience, including Web Services, EIBs, Core Connectors, and RaaS.\n, • Hands-on experience with Boomi or a comparable iPaaS platform; strong Boomi experience is highly preferred.\n, • Development experience with C# and Python.\n, • Strong SQL skills for data validation, reconciliation, and troubleshooting.\n, • Experience integrating systems using REST, SOAP, SFTP, JSON, XML, CSV, and database connections.\n, • Familiarity with AWS, Azure, or GCP.\n, • Experience supporting production integrations, troubleshooting failures, and resolving incidents.\n\n \n What You Will Be Doing \n Daily Responsibilities \n\n • Design and develop Boomi processes for data extraction, transformation, routing, validation, mapping, and delivery.\n, • Build and support integrations across Workday HCM, Finance, Payroll, Benefits, and Recruiting.\n, • Configure Boomi connectors, maps, profiles, process logic, and exception handling.\n, • Develop and support automated user-provisioning integrations with Google Workspace and other downstream systems.\n, • Create custom APIs, scripts, and integration components using C# and Python.\n, • Implement logging, alerting, retry, and error-handling frameworks to improve integration reliability.\n, • Monitor production integrations, troubleshoot failures, and provide incident support.\n, • Perform data cleansing, reconciliation, and troubleshooting using SQL, XSLT, and scripting.\n, • Maintain technical documentation and runbooks for integrations, deployments, and support procedures.\n\n \n You will receive the following benefits: \n\n • Medical Insurance - Four medical plans to choose from for you and your family\n, • Dental & Orthodontia Benefits\n, • Vision Benefits\n, • Health Savings Account (HSA)\n, • Health and Dependent Care Flexible Spending Accounts\n, • Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance\n, • Hospital Indemnity Insurance\n, • 401(k) including match with pre and post-tax options\n, • Paid Sick Time Leave\n, • Legal and Identity Protection Plans\n, • Pre-tax Commuter Benefit\n, • 529 College Saver Plan\n\n \n Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

Senior SailPoint IIQ Engineer / Technical Lead \n Location: Newark, NJ \n Work Arrangement: Hybrid – approximately 3 days onsite per week \n Employment Type: Contract-to-Hire \n \n Position Overview \n We are seeking a Senior SailPoint IIQ Engineer / Technical Lead to join a large enterprise Identity and Access Management (IAM) transformation program. This is a hands-on engineering role focused primarily on an existing on-premises SailPoint IdentityIQ (IIQ) environment. \n \n The ideal candidate will have strong, practical experience engineering and supporting SailPoint IIQ, including application onboarding, integrations, connectors, provisioning, workflows, lifecycle events, certifications, troubleshooting, and identity governance processes. \n \n The immediate focus is on stabilizing, supporting, enhancing, and expanding the existing IIQ platform. While the organization may evaluate cloud-based identity governance as part of its longer-term IAM strategy, this is not currently a cloud migration role. Experience with SailPoint Identity Security Cloud (ISC) / IdentityNow is a plus, but deep, hands-on SailPoint IIQ experience is the primary requirement. \n \n Key Responsibilities \n\n • Provide hands-on engineering, configuration, administration, and troubleshooting for the enterprise SailPoint IdentityIQ environment.\n, • Configure, enhance, and maintain IIQ workflows, lifecycle events, policies, certifications, roles, access requests, and provisioning processes.\n, • Design, configure, and maintain application integrations and SailPoint connectors.\n, • Lead the onboarding of enterprise applications and systems into the identity governance environment.\n, • Troubleshoot complex provisioning, aggregation, connector, workflow, and identity-data issues.\n, • Develop and maintain SailPoint customizations using Java, BeanShell, APIs, rules, workflows, and other IIQ technologies.\n, • Analyze and improve existing IIQ configurations, integrations, and processes to enhance scalability, reliability, security, and operational efficiency.\n, • Work closely with application owners, infrastructure teams, cybersecurity teams, and IAM stakeholders to resolve identity and access issues.\n, • Support automation of repetitive IAM and identity governance processes.\n, • Participate in technical design and architecture discussions related to the continued evolution of the IAM environment.\n, • Identify technical debt and recommend opportunities to modernize and improve the existing IIQ implementation.\n, • Create and maintain technical documentation covering configurations, integrations, workflows, procedures, and operational processes.\n, • Serve as a technical escalation point for complex SailPoint issues and provide technical guidance to other engineers.\n, • Support the organization’s longer-term evaluation of cloud-based identity governance capabilities as needed.\n\n \n Required Qualifications \n\n • 5+ years of hands-on SailPoint IdentityIQ experience.\n, • Strong experience engineering and supporting on-premises SailPoint IIQ environments.\n, • Demonstrated experience with application onboarding, connector configuration/development, aggregation, provisioning, and integrations.\n, • Strong understanding of Identity Governance and Administration (IGA) principles and processes.\n, • Hands-on experience with identity lifecycle management, access requests, certifications, roles, policies, workflows, and provisioning.\n, • Strong troubleshooting skills across SailPoint workflows, connectors, provisioning, aggregation, and identity data.\n, • Experience integrating SailPoint with enterprise applications and infrastructure.\n, • Working knowledge of Java and BeanShell within SailPoint IIQ.\n, • Strong understanding of Active Directory, LDAP, databases, and enterprise identity environments.\n, • Understanding of IAM fundamentals, including authentication, authorization, access control, and identity lifecycle management.\n, • Experience working within large, complex enterprise technology environments.\n, • Ability to work independently while collaborating effectively with IAM, cybersecurity, infrastructure, application, and other technology teams.\n, • Strong communication, documentation, and problem-solving skills.\n\n \n Preferred Qualifications \n\n • SailPoint certifications.\n, • Experience with SailPoint Identity Security Cloud (ISC) / IdentityNow.\n, • Experience evaluating or planning an IIQ-to-cloud identity governance migration.\n, • Experience modernizing legacy SailPoint IIQ implementations and reducing technical debt.\n, • Experience developing or supporting API-driven integrations.\n, • Experience with cloud IAM or identity security platforms.\n, • Experience integrating SailPoint with CyberArk, SSO, MFA, Active Directory, or other enterprise security technologies.\n, • Experience in financial services, utilities, critical infrastructure, or other highly regulated environments.\n, • Previous experience serving as a technical lead, lead engineer, or senior SailPoint engineer.\n, • Experience mentoring or providing technical direction to other IAM engineers.\n\n

Staff Hardware Engineer | Robotics | New York City | $225K–$275K + Equity \n \n A robotics system behaving properly in development is one thing. \n \n Getting it working reliably on a live manufacturing line is another. \n \n I’m working with an early-stage physical AI company in New York City already deploying robotic systems with a major defence prime. They are now hiring a Staff Hardware Engineer to take ownership of the hardware side of those deployments. \n \n You’ll work across the gap between engineering and the real production environment. \n \n That means: \n\n • Deploying robotic hardware onto live manufacturing and defence production lines\n, • Owning hardware integration, commissioning and troubleshooting on site\n, • Working closely with machine learning engineers to get models performing reliably on physical systems\n, • Taking problems found in the field back into hardware design and reliability decisions\n, • Helping establish hardware engineering standards as the team grows\n\n \n This is a hands-on Staff-level role. You’ll be close to the hardware, the deployment environment and the problems that only appear once a system leaves development. \n \n They are looking for someone with senior robotics hardware experience and evidence of deploying physical systems into production or field environments. \n \n You should also be comfortable working across hardware and software, with practical experience around sensors, actuators and robotic platforms. \n \n Salary: $225K–$275K \n Equity: Competitive equity \n Location: New York, NY \n Working pattern: Full-time, 5 days on-site \n \n Due to the nature of the work, US citizenship is required. The company cannot sponsor visas or employ green card holders for this position. \n \n If your background is in robotics hardware, integration or field deployment and this sounds close to the work you want to be doing, get in touch for a confidential conversation.

About the Company \n Dirac is on a mission to reindustrialize The West. American manufacturing is broken—burdened by inefficiency, bureaucracy, and outdated processes. We are pioneering Model-Based Manufacturing, where context-aware production planning informs design in real-time—eliminating the disconnect between engineering and manufacturing. Our platform automates what can be automated and captures tribal knowledge where automation falls short, creating a seamless system for building at scale. We're building the tools modern manufacturers need to move faster and build better, the pillars of a more abundant future. We are a mission-driven company of world-class engineers and operators with a culture of high trust, high agency, and high autonomy. \n \n How You Will Contribute: \n\n • Own critical systems—design, build, and scale them.\n, • Work directly with manufacturers to ensure our tools solve real problems.\n, • Operate in high-agency mode—if it needs doing, you do it.\n\n \n Requirements: \n\n • You’ve built something - a project, an assignment, something physical, an open source library - and you can explain it conversationally.\n, • You want to learn - and build, and re-learn and re-build. You believe your best work from 6 months ago is mediocre now and want to build it all again.\n, • You find, design, build and complete work that no one brought to you - because you recognize the need for the work to be done, and done well.\n, • You know how to debug and troubleshoot issues while taking reported information at face value - digging deeper to find the root cause.\n, • You have knowledge of a programming, scripting or configuration language.\n, • You have knowledge of modern container technologies like Kubernetes, Docker, etc.\n, • You understand Networking, DNS, and Routing foundations (IP, CIDR, VPN, etc.)\n, • You can figure out IT, SSO, MDM functions, apps, and integrations.\n\n \n Nice to Have: \n\n • Background in manufacturing, aerospace, or industrial software.\n, • Familiarity with working with teams org wide (Engineering, Product, Finance, Operations, Legal, etc.)\n, • Familiarity with Terragrunt, Tofu, Terraform or similar tools for IaC collaboration.\n, • Experience with Security operations (Cookies, CSRF, CSP, etc.) and/or Compliance Frameworks (ISO, CMMC, etc.)\n, • You have a general understanding of databases (SQL, NoSQL, Cache, Blob, Memory, etc.).\n, • You know what RBAC, OAuth, JWT, etc. is.\n\n \n Salary & Compensation: \n\n • $100,000 - $135,000 + Stock Options\n\n \n Benefits: \n\n • Health, Dental, Vision Insurance: Comprehensive coverage to ensure you and your family stay healthy.\n, • Generous Paid Time Off: Enjoy flexible, high-trust PTO and sick leave.\n, • Stock Options: Participate in our success with a generous stock option plan.\n, • Commuter Benefits (NYC): Save on transportation costs with our commuter benefits program.\n\n \n Equal Opportunity Employer \n\n • Dirac is an Equal Opportunity Employer; employment with Dirac is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.\n\n \n Location & Travel \n\n • This role is fully in-person at our NYC office.\n\n \n Eligibility \n\n • Employment is restricted to U.S. Persons as defined by ITAR (22 CFR §120.15)\n

Site Reliability Engineer — Cloud / DevOps \n NYC | Hybrid 4 Days Onsite | Mid–Senior | $150,000–$185,000 \n We're a fast-growing fintech platform transforming how institutional markets operate — and we need someone to own the infrastructure underneath it all. \n This isn't a ticket-taker role. We need a builder and enforcer who understands how things work at depth, not just how to configure them. You'll own cloud architecture, CI/CD pipelines, container orchestration, observability, and enforcement end to end — with real architectural authority and visibility into every layer of the stack. \n You should be able to speak to: \n\n • How Docker isolation actually works at the kernel level — cgroups, namespaces, what's happening underneath\n, • CI/CD pipelines built as reusable systems, not one-offs — full code-to-cloud ownership\n, • Enforcing standards in the pipeline: linters, security scanning, policy-as-code\n, • Cloud architecture decisions you can justify on performance, security, cost, and ROI\n, • Observability as a discipline you've enforced across an engineering org, not just implemented for yourself\n\n Strong signal: If you've implemented OPA in a production pipeline or describe OpenTelemetry as a specification rather than a tool — say so explicitly. We'll want to talk immediately. \n Required: 5+ years in infrastructure, DevOps, or SRE. AWS, Terraform, Python, Linux. Production distributed systems experience. Track record of owning — not just supporting — production environments. \n This is a full-time, W2 direct hire position. No C2C, no consultants, no visa sponsorship. \n AI workload infrastructure is on our roadmap. If that interests you, there's real room to grow into it. \n Tools and OS are secondary. Depth of thinking is not.

Our Fortune 500 client located in New York, NY is seeking an experienced Senior AVEVA PI Systems Engineer to architect, administer, integrate, support, and enhance a large-scale enterprise AVEVA/OSIsoft PI System supporting mission-critical Electric, Gas, and Steam Control Center operations. \n \n This is a senior, hands-on role supporting a PI Data Historian environment containing 1.5+ million PI tags. The engineer will be responsible for PI Data Archive, PI Asset Framework (AF), PI Vision, PI Analytics, PI Notifications, Event Frames, PI interfaces, high availability, disaster recovery, integrations, dashboards, and custom development. \n \n The ideal candidate brings deep AVEVA PI expertise combined with strong infrastructure, integration, development, and troubleshooting capabilities. This individual must be comfortable supporting highly available 24x7 operational technology environments where system reliability, recoverability, cybersecurity, and rapid incident response are critical. \n \n Key Responsibilities \n AVEVA PI System Administration & Architecture \n\n • Administer, maintain, enhance, and optimize a large-scale enterprise AVEVA PI environment with 1.5+ million PI tags.\n, • Architect and support PI Data Archive, PI Asset Framework, and PI Vision environments.\n, • Implement and maintain high-availability and disaster-recovery solutions for PI Data Archive, PI AF, and PI Vision.\n, • Develop and maintain PI AF Element Templates, AF Elements, Asset Analytics, Notifications, and Event Frames.\n, • Develop and support PI-based visualization and dashboard solutions using PI Vision and related technologies.\n, • Monitor PI infrastructure health, availability, capacity, and performance to ensure continuous availability of critical operational systems.\n, • Lead troubleshooting and root-cause analysis for complex PI application and infrastructure issues.\n\n \n PI Interfaces & Enterprise Integration \n\n • Configure, administer, troubleshoot, and enhance PI interfaces and integrations, including OPC DA/UA, PI-to-PI, RDBMS, DNP3, and PI API-based integrations.\n, • Support PI Integrator for Business Analytics and the delivery of PI data to enterprise analytics platforms.\n, • Integrate AVEVA PI with enterprise business, analytics, operational, SCADA, and Control Center systems.\n, • Design reliable data flows between operational systems and enterprise applications while maintaining appropriate security and availability.\n, • Develop and support API and adapter-based integrations as required.\n\n \n Development, Automation & Analytics \n\n • Design and develop custom PI solutions using PI SDK, AF SDK, PI OLEDB, PowerShell, APIs, and related PI System Access technologies.\n, • Develop applications and integrations using C#, .NET, Visual Studio, SQL, SSIS, and PowerShell.\n, • Develop PI dashboards, business-intelligence reports, and specialized applications supporting operational and business requirements.\n, • Develop and support Microsoft Power BI reporting and analytics solutions utilizing operational data.\n, • Automate recurring administration, monitoring, integration, and support activities using PowerShell and related technologies.\n, • Design, code, test, deploy, and support enhancements to Control Center applications.\n\n \n High Availability, Disaster Recovery & Operational Support \n\n • Ensure continuous availability of PI Historian infrastructure supporting Electric, Gas, and Steam Control Center operations.\n, • Implement system enhancements, monitor server and application health, and proactively address availability and performance issues.\n, • Develop, maintain, test, and periodically update disaster-recovery procedures and documentation for PI and associated operational systems.\n, • Support integrations and dependencies involving systems such as SCADA and outage-management platforms.\n, • Participate in scheduled 24x7x365 support coverage, responding to alerts and production incidents to restore critical application availability.\n, • Apply a strong operational mindset to physical safety, cybersecurity, system resilience, and production reliability.\n\n \n Technical Leadership & Collaboration \n\n • Independently manage technical aspects of assigned projects, including planning, implementation, testing, troubleshooting, and issue resolution.\n, • Work effectively with Control Center personnel, infrastructure teams, cybersecurity, application teams, business stakeholders, project sponsors, and technical leadership.\n, • Communicate project status, technical issues, risks, resource conflicts, key activities, and changes to stakeholders.\n, • Develop detailed end-to-end architecture, configuration, operational, troubleshooting, and disaster-recovery documentation.\n, • Develop and deliver technical presentations to engineering, operational, and business audiences.\n, • Follow established IT service-management processes and support incident, problem, and change-management activities.\n\n \n Required Qualifications \n\n • Deep hands-on experience administering and supporting AVEVA/OSIsoft PI System environments.\n, • Experience supporting large-scale enterprise PI Historian implementations.\n, • Advanced experience with PI Data Archive, PI Asset Framework (AF), PI Vision, PI Asset Analytics, PI Notifications, and Event Frames.\n, • Experience implementing and supporting high availability and disaster recovery for PI Data Archive, PI AF, and PI Vision.\n, • Strong experience configuring and troubleshooting PI interfaces, including PI DNP3, PI-to-PI, OPC DA/UA, RDBMS, and related PI interfaces.\n, • Experience with PI Integrator for Business Analytics.\n, • Strong PowerShell scripting and automation capabilities.\n, • Experience developing PI solutions using PI System Access technologies such as PI SDK, AF SDK, PI OLEDB, APIs, and adapters.\n, • Programming and development experience with technologies such as C#, .NET, Visual Studio, SQL, SSIS, APIs, and PowerShell.\n, • Strong troubleshooting and root-cause-analysis capabilities within highly available production environments.\n, • Experience developing detailed technical, operational, architecture, and disaster-recovery documentation.\n, • Ability to independently lead technical assignments with minimal supervision.\n, • Strong written, verbal, presentation, and stakeholder-communication skills.\n, • Ability to participate in scheduled 24x7 support coverage for critical production systems.\n\n \n Preferred Qualifications \n\n • AVEVA/OSIsoft PI System Infrastructure and/or Developer Accreditation.\n, • Advanced Microsoft Power BI experience.\n, • Azure DevOps experience.\n, • Microsoft Power Automate experience.\n, • ServiceNow and ITIL process experience.\n, • Experience with Microsoft Visio and technical architecture documentation.\n, • Experience with modern Microsoft .NET technologies.\n, • Project-management experience supporting enterprise technology initiatives.\n, • Previous experience supporting utility, energy, SCADA, Operational Technology, industrial-control, or other mission-critical environments.\n\n \n Seneca Resources: We are a client-driven provider of strategic IT consulting services and workforce solutions to government and industry. Headquartered in Reston, VA, with additional offices in AL, NC, NY, & GA, we serve clients nationwide. Our success is driven by a strong corporate culture, engaging work, competitive compensation, professional training, and career advancement opportunities. We are an Equal Opportunity Employer and value diversity in our workplace.

🚨 HIRING: ADMS System Engineer \n 📍 Location: South Plainfield, NJ \n 🏢 Work Model: Hybrid \n 📅 Contract: 1 Year \n \n 🇺🇸 Visa: US Citizens & Green Card Holders ONLY \n \n We are seeking an experienced ADMS System Engineer to support the full technology lifecycle of Advanced Distribution Management Systems (ADMS), including implementation, integration, testing, deployment, troubleshooting, and production support. \n 🔹 Key Responsibilities \n • Translate business and operational requirements into technical solutions and ADMS configurations \n • Support ADMS implementation and production operations \n • Perform system troubleshooting, log analysis, configuration validation, and root cause analysis \n • Support deployments, upgrades, patches, defect fixes, and production releases \n • Integrate and test interfaces across SCADA, OMS, GIS, DMS, Historian, ICCP, and enterprise systems \n • Perform Windows/Linux workstation and server patching and command-line configuration \n • Review technical designs, configurations, code, and deployment artifacts \n • Monitor system performance, reliability, and operational service levels \n • Work with network, cybersecurity, operators, vendors, and cross-functional technical teams \n • Maintain technical documentation, troubleshooting procedures, and system configurations \n • Support virtualized environments including VMware vCenter \n • Develop operational/analytical reports and Power BI dashboards \n • Assist end users with access, configuration, and functional issues \n \n ⭐ Must-Have Skills \n ✅ ADMS implementation & production support \n ✅ ADMS / Grid Operations Systems Integration \n ✅ Systems Troubleshooting & Root Cause Analysis \n ✅ Experience with SCADA / OMS / GIS / DMS integrations \n ✅ Windows & Linux environments \n ✅ Strong technical documentation and communication skills \n \n

Role: ADMS System Engineer \n Location: South Plainfield, NJ \n Work Mode: \n\n • Onsite: South Plainfield, NJ – 5 days/week\n\n Employment Type: Full Time / Contract \n Immigration Category: U.S. Citizen / Green Card \n \n Job Description \n The ADMS Technology Engineer plays a critical role in the full technology lifecycle of Advanced Distribution Management Systems. This position is responsible for the design, configuration, development, testing, deployment, and ongoing support of software, hardware, and integrated systems that support grid operations. \n The ADMS Technology Engineer collaborates closely with Analysts, Product Managers, System Operators, and cross-functional technical teams to ensure solutions meet all business, functional, and reliability requirements. \n The engineer may be assigned to implementation projects or operational support, with responsibilities ranging from building new solution capabilities to maintaining, upgrading, and troubleshooting existing platforms. \n Key Responsibilities \n\n • Analyze business requirements, operational workflows, and end-user needs to translate them into technical solution designs, system configurations, and implementation plans.\n, • Perform peer reviews of technical designs, implementation plans, configuration settings, code, and deployment artifacts to ensure accuracy, completeness, cybersecurity compliance, and alignment with enterprise standards.\n, • Troubleshoot escalated support issues, conduct root cause analysis, and recommend both short-term workarounds and long-term corrective actions.\n, • Monitor system performance, review operational reports, and ensure ADMS functionality meets defined service levels, reliability expectations, and regulatory or operational standards.\n, • Support deployment activities for new features, subsystems, modules, upgrades, patches, and defect resolutions across development, test, and production environments.\n, • Conduct general system troubleshooting, including log analysis, configuration validation, trace review, and verification of recent changes to isolate and resolve issues.\n, • Document procedures, system configurations, troubleshooting steps, and operational practices to support knowledge transfer and repeatability.\n, • Perform workstation and server patching (Windows and Linux) and maintain environment readiness for project teams, including command line configuration when required.\n, • Interpret and work with technical diagrams and documentation such as network topology diagrams, IP/LAN schemas, firewall configuration sheets, server architecture diagrams, and interface definitions.\n, • Configure workstations, applications, and system components to meet project and operational requirements.\n, • Communicate clearly with operators, project teams, cybersecurity, network teams, vendors, and other stakeholders regarding system status, issues, and deployment activities.\n, • Assist end users with system access issues, configuration questions, and functional requests such as login support, password resets, or new feature needs.\n, • Support application interface testing (e.g., SCADA, OMS, GIS, DMS modules, historian interfaces, ICCP, enterprise data integrations) to ensure data accuracy and availability.\n, • Create and manage operational and analytical reports (e.g., Power BI dashboards) to support operations and decision making.\n, • Work within virtualized environments and tools such as VMware vCenter for provisioning, monitoring, and maintaining system resources.\n\n Key Skills \n\n • 10+ years of experience supporting, upgrading, and implementing ADMS.\n, • ADMS implementation and production support.\n, • ADMS/Grid Operations Systems Integration Experience.\n, • Systems Troubleshooting & Root Cause Analysis.\n\n Candidates should have hands-on ADMS experience. \n

The Opportunity A high-growth, well-funded startup is rebuilding an entire industry's relationship with data, using AI agents to turn messy, unstructured chaos into clean, actionable intelligence at scale. Built natively around modern ML/AI from day one, not bolted onto legacy systems, the platform is already driving measurable results for enterprise customers. They've been recognized as one of the standout early-stage players in their space, and they're continuing to scale fast. They're hiring a Senior Software Engineer to help build the product experience end to end, from backend services to the UI customers actually touch, with regular exposure to the AI agent layer powering the platform underneath. You'll work directly with founders, shipping end-to-end product features in a high-ownership, fast-paced environment. The Stack & Scale React/TypeScript on the frontend, Python and Node.js on the backend, deployed on AWS. The platform's AI layer runs on LLMs, RAG pipelines, and LangChain, so you'll be shipping features that sit right on top of that infrastructure. What You'll Do • Build and ship fullstack features across the product, from backend services to frontend UI, • Work with the engineers building the AI agent layer to surface agent outputs and AI-driven features in the product, • Design and scale backend services and APIs supporting real-time, high-throughput workloads, • Partner with product and design to take features from concept to production, • Contribute to reliability, performance, and code quality across the stack, • Work directly with founders and have real say in product features, roadmap, and technical decisions What Makes You a Fit • Bachelor's Degree in Computer Science or related STEM field, • 5+ years of fullstack engineering experience, • Strong experience with a modern frontend framework (React, Vue, etc.), • Backend experience with Python, Node.js, Golang, or similar, • Experience working with or around AI/ML systems, hands-on LLM or agent experience is a bonus but not a dealbreaker, • Solid understanding of API design, databases, and cloud infrastructure, AWS a plus, • Startup experience preferred, but we care more about how you think and build than where you've worked, • Strong communicator and takes ownership without being asked twice

Head of Engineering Stealth // Systematic Wealth Management Company New York City preferred · San Francisco, Boston, Chicago, London & other major hubs considered $150,000–$180,000 base + up to 10% for the right candidate The Opportunity We are building a technology company at the intersection of AI, systematic investing, and wealth management. A massive transition is underway in financial services. Capital markets have spent decades moving from human-intensive processes toward systematic, data-driven infrastructure. Wealth management and adjacent parts of asset management are now entering that transition. There is roughly $140T of wealth and assets in the broader market that will increasingly be managed, analyzed, and serviced through intelligent systems. The opportunity is to build the infrastructure for that transition. We are already working with paying customers, have a strong technical and commercial core team, and have additional design partners coming into the platform. The company is backed by experienced industry participants and has substantial mandates in front of it. We are looking for a Head of Engineering to own the technical organization and help build the company through its next stage. You will be the senior technical operator, work directly with the founders, make consequential architectural and product decisions, and help determine what the engineering organization becomes. For the right person, this role can become CTO. You + What You'll Own You'll be a/the senior technical operator in the company, working directly with the founders on architecture, roadmap, and the build itself. This is a player-coach seat: you'll write code, make the hard systems calls, ship alongside a strong core engineering team, and grow the organization as the business scales. • Own the engineering function end-to-end: architecture, infrastructure, development, deployment, reliability, security, and technical standards., • Work directly with the founders to translate an ambitious product vision into a durable technical roadmap., • Make the difficult architectural decisions required to build a system operating across AI, financial data, and complex external integrations., • Lead a small, highly capable engineering team while establishing the culture, processes, and technical standards that will support significant scale., • Balance speed and rigor. We need to move quickly, but the systems we build will ultimately sit inside serious financial workflows where accuracy and reliability matter., • Work closely with product, research, and customers to determine what should be built, how it should work, and where engineering leverage is highest., • Recruit and develop exceptional engineers as the company grows., • Take responsibility when things break. Diagnose problems, establish root causes, and build systems that prevent them from recurring., • Help shape the company's broader technical strategy, including how we use increasingly capable AI models as part of production software. The Technical Challenge The system sits at the intersection of several difficult engineering problems: • AI systems: Harness, LLMs, specialized models, agentic workflows, retrieval, evaluation, and model reliability., • Financial data and execution: Market data, portfolio data, client information, financial documents, and other structured and unstructured datasets., • Data infrastructure: High-quality ingestion, normalization, transformation, storage, and retrieval across numerous external systems., • Production systems: Cloud infrastructure, databases, observability, security, testing, and deployment., • Reliability: Building systems where correctness, traceability, and predictable behavior matter as much as raw velocity. You do not need to have worked with every part of it. You do need to be technically deep enough to understand the tradeoffs and decisive enough to make them. Who We're Looking For We are flexible on background and years of experience. You might be a senior engineer who has already been operating as a technical leader. You might be a founding engineer who has built systems from zero to scale. You might be an engineering leader at a larger company who wants substantially more ownership. • Have exceptional engineering fundamentals and the ability to reason deeply about complex systems., • Be comfortable writing and reviewing production code yourself., • Have strong experience with Python and/or TypeScript/JavaScript and modern cloud infrastructure., • Understand databases, APIs, distributed systems, data pipelines, and production software architecture., • Be comfortable working with AI/ML systems and genuinely interested in where they are going., • Have unusually high standards for correctness and engineering quality., • Be comfortable operating with incomplete information and making decisions without a large organization around you., • Be willing to work under pressure and take responsibility when the answer isn't obvious., • Communicate exceptionally well with both technical and non-technical people., • Want to build something rather than simply manage something. Experience in systematic investing, quantitative finance, capital markets, fintech, or financial services is a meaningful plus, but is not required. Why This Role There are paying customers, active mandates, incoming design partners, a strong founding team, and a substantial market opportunity — but the engineering organization is still small enough that the person taking this role can fundamentally shape it. If you are looking for a role where you can own engineering, work directly with founders, and potentially become the company's CTO, we'd like to meet you. You will have direct access to the founders, meaningful influence over product and company strategy, and the opportunity to build the technical organization from an early stage. For an exceptional candidate, equity can be as high as 10%. New York City is preferred. San Francisco, Boston, London, and other major technology or financial centers will be considered.

Company: RELX Title: Applied AI Engineer Type: 3 to 6 Month Contract to Hire Location: 920 Broadway in Manhattan Type: Hybrid Onsite 4 Days a Week Rate: 90-100/ hour, 170-200k to Convert About the role LexisNexis Legal & Professional is hiring an Applied AI Engineer to help shape the next generation of AI-powered legal products and developer experiences. As an Applied AI Engineer at LexisNexis, you will partner with internal teams and enterprise stakeholders to help build AI-powered applications and workflows on top of LexisNexis AI platforms, legal content, and AI-powered workflows and agent-based capabilities. You will work directly with engineering, AI engineering, and data science teams to design and implement production AI applications, agent workflows, and scalable LLM-powered experiences that support complex legal and professional workflows. This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices. This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments. What you’ll do Start with customers • Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement., • Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against., • Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs., • Bring the customer voice back into our roadmaps, our model choices, and our trade-offs., • Occasional travel to customer sites may be required to better understand workflows and gather product feedback. Build AI-powered applications and workflows • Contribute to AI-powered applications and workflows for legal and professional use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams., • Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams., • Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services., • Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities., • Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments. Contribute to AI Engineering Enablement • Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams., • Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams., • Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization., • Support teams in adopting AI-assisted development workflows through prototyping, architecture collaboration, and hands-on engineering support., • Contribute to engineering for LLM applications, AI workflows, and AI-enabled product development., • Assist in building evaluation, monitoring, and observability tooling to improve AI application quality, reliability, and developer visibility., • Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across products and platforms., • Create technical documentation, sample applications, tutorials, and implementation guides to help engineers transition from traditional software development to AI-powered application development., • Partner with engineering teams to introduce modern AI engineering practices, reusable tooling, and machine learning workflows into existing software development processes. Bring others with you • Partner closely with data scientists, machine learning engineers, designers, product managers, legal SMEs, and platform engineering teams. Effective AI product development depends on strong cross-functional collaboration and respect for each discipline’s expertise., • Collaborate with and support engineering teams in adopting modern AI engineering practices, agent workflows, and evaluation approaches., • Communicate clearly with people who aren’t engineers — especially lawyers — and adapt your language to the audience without dumbing things down., • Contribute feedback and implementation learnings to shared AI platform capabilities, tooling, and developer workflows., • Contribute constructively to technical discussions, collaborate effectively across teams, and remain open to feedback and evolving implementation approaches. Required qualifications • 6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role., • Strong production experience building LLM-powered applications and deployment at scale., • Strong programming skills in Python and experience building scalable production services and APIs., • Experience designing and implementing AI application architectures in cloud-native environments., • Hands-on experience with modern AI engineering frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, MCP, or equivalent systems., • Experience building AI workflows involving retrieval, tool calling, orchestration, context management, and structured generation., • Familiarity with AI observability, evaluation frameworks, and production monitoring., • Experience deploying and operating AI systems on AWS, Azure, or GCP., • Comfortable working in evolving environments and collaborating across teams to deliver AI-powered features and workflows., • Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams., • Experience contributing to production systems and collaborating on practical implementation trade-offs. Preferred qualifications • Experience in legal technology, enterprise SaaS, compliance, financial services, healthcare, or other regulated industries., • Experience building AI copilots, AI assistants, workflow automation systems, or multi-agent platforms., • Familiarity with developer platforms, SDK development, API productization, or AI platform engineering., • Experience facilitating technical workshops, hackathons, or developer enablement initiatives., • Strong understanding of AI UX and conversational workflow system design., • Experience with AI evaluation, guardrails, policy enforcement, and responsible AI deployment., • Familiarity with inference optimization, LLM serving infrastructure, or AI infrastructure tooling., • Full-stack or frontend engineering experience for rapid prototyping and developer experience optimization., • Open-source contributions, technical blogging, conference speaking, or AI engineering community involvement. About LexisNexis Legal & Professional LexisNexis Legal & Professional is a global leader in legal information and analytics, serving customers in more than 150 countries. We are investing aggressively in generative AI, agentic systems, and AI-native workflows that help legal professionals research faster, draft with confidence, and make better decisions in complex legal environments. Our mission is to build trustworthy enterprise-grade AI systems that combine cutting-edge innovation with the accuracy, transparency, and reliability required in the legal industry. LexisNexis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. The salary range for this position is 170k to 200k. Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.

Company - Our client is an established healthcare technology and marketing organization focused on connecting patients and healthcare professionals with trusted educational content at the point of care. The organization has operated for more than 40 years and has earned repeated recognition for both its healthcare content and workplace culture. \n \n Job Title - Senior Data Engineer \n Location - Hybrid in Montvale, NJ — 3 days per week onsite \n Role Type - 6–12 month contract \n \n Must Have Skills: \n\n • Strong BigQuery and Google Cloud Platform (GCP) expertise with hands-on experience working extensively in BigQuery.\n, • Advanced SQL expertise, including writing and optimizing complex queries.\n, • Strong ETL/ELT pipeline development and management experience, including building and operating scalable, reliable data pipelines.\n, • Strong Python experience for data transformation, automation, and pipeline development.\n, • API-based data integration experience, including incorporating API-sourced data into ETL/ELT workflows and handling pagination, rate limits, retries, schema drift, and partial failures.\n\n \n Responsibilities and Job Details: \n\n • Design, build, and maintain scalable data pipelines that move data from source systems through transformation into analytics-ready datasets.\n, • Own and improve data orchestration workflows to ensure reliable and timely data availability for reporting and business decision-making.\n, • Build and support API-driven data ingestion patterns across internal and external systems, including handling real-world API reliability challenges.\n, • Develop and maintain data models, warehouse entity relationships, datasets, and views optimized for downstream analytics and reporting.\n, • Implement data quality and governance practices, including validation, completeness testing, reconciliation, lineage, and documentation.\n, • Build monitoring and alerting capabilities to track pipeline health, data freshness, failures, and SLA adherence.\n, • Optimize pipeline performance, BigQuery query efficiency, and data warehouse costs.\n, • Support reverse ETL and outbound data delivery, including delivering curated datasets into operational systems through APIs.\n, • Integrate and model business-critical data from CRM and ERP platforms, including Salesforce and NetSuite.\n, • Collaborate cross-functionally with analytics, product, engineering, and business stakeholders to deliver reliable data solutions.\n, • Use modern AI/LLM tools to accelerate data and analytics workflows, with Claude experience considered a plus.\n, • Work within a modern technology stack that includes SQL, Python, GCP, BigQuery, Salesforce, NetSuite, GitHub, GitHub Copilot, and Jira.\n\n

🔧 Mechanical Engineer – Manufacturing Equipment & Automation \n 📍 Northvale, NJ \n 💰 $115,000 - $145,000 \n Are you a hands-on Mechanical Engineer who enjoys solving real-world manufacturing challenges? \n We're seeking a Mechanical Engineer – Manufacturing Equipment & Automation to support advanced manufacturing operations in a fast-paced production environment. This is an excellent opportunity for someone who thrives on the production floor, enjoys troubleshooting complex equipment, and is passionate about improving reliability, efficiency, and overall manufacturing performance. \n What You'll Do \n ✅ Support equipment reliability, uptime, and manufacturing performance \n ✅ Troubleshoot and repair complex mechanical systems on automated production equipment \n ✅ Work directly with robotics and machine vision systems supporting production operations \n ✅ Lead continuous improvement initiatives focused on quality, efficiency, and equipment reliability \n ✅ Conduct root cause analysis and implement corrective actions \n ✅ Support equipment installations, upgrades, and commissioning activities \n ✅ Collaborate with manufacturing, maintenance, engineering, and production teams \n ✅ Read and interpret engineering drawings, schematics, and technical documentation \n ✅ Assist with preventive and predictive maintenance strategies \n ✅ Provide support for basic PLC controls troubleshooting and automation systems \n Equipment & Technologies \n 👁️ Machine Vision \n\n • Keyence\n, • Cognex\n, • Datalogic\n\n 🤖 Robotics \n\n • Epson\n, • ABB\n\n ⚙️ PLC & Controls \n\n • Siemens\n, • Allen-Bradley\n, • Mitsubishi\n\n 💨 Pneumatics \n\n • SMC\n, • Festo\n\n What We're Looking For \n ✔ Bachelor's Degree in Mechanical Engineering or equivalent hands-on engineering experience \n ✔ Strong mechanical troubleshooting experience within a manufacturing environment \n ✔ Experience supporting automated manufacturing equipment and robotics \n ✔ Knowledge of: \n\n • Bearings\n, • Drives\n, • Motors\n, • Actuators\n, • Sensors\n, • Pneumatics\n, • Mechanical assemblies\n\n ✔ Ability to read engineering drawings and schematics \n ✔ Basic electrical controls troubleshooting experience \n ✔ Root Cause Analysis (RCA) and reliability improvement experience \n ✔ Lean Manufacturing and Continuous Improvement experience preferred \n ✔ Strong communication and cross-functional teamwork skills \n ✔ Self-starter who enjoys being on the manufacturing floor and making an immediate impact \n Why Consider This Opportunity? \n 🚀 Highly visible engineering role with direct impact on manufacturing operations \n 🤖 Exposure to advanced automation, robotics, machine vision, and PLC-controlled equipment \n 📈 Opportunity to lead continuous improvement and reliability initiatives \n 💰 Competitive compensation: $115K - $145K \n 🏭 Dynamic manufacturing environment where engineering ideas turn into real-world results \n 📩 Interested or know someone who may be a fit? Let's connect! Message me directly or send your resume to discuss this opportunity. \n #MechanicalEngineering #ManufacturingEngineering #Automation #Robotics #MachineVision #ContinuousImprovement #LeanManufacturing #EngineeringJobs #NewJerseyJobs #MaintenanceEngineering #IndustrialAutomation #HiringNow #MechanicalEngineer

Telecom Engineer \n Location: New York, NY – Hybrid with field visits throughout the utility service territory \n Employment Type: Contract-to-Hire with Potential Full-Time Conversion \n Schedule: Full-Time | 3 Days Onsite, 2 Days Remote \n Start Date: ASAP \n Number of Openings: 1 \n Position Overview \n Our client is seeking an experienced Telecom Engineer to serve as the dedicated technical subject matter expert and project owner for a large-scale, utility-grade fiber deployment connecting more than 100 substations. \n This individual will own the technical approach throughout the project lifecycle—from requirements gathering and fiber/network architecture through technical specification development, vendor coordination, field implementation, system integration, and migration. \n The successful candidate will develop a consistent and scalable fiber architecture, establish clear technical standards, coordinate internal and external stakeholders, and support successful deployment across the substation network. \n Key Responsibilities \n\n • Lead the design and architecture of a large-scale fiber-optic telecommunications network.\n, • Gather technical and operational requirements for fiber connectivity across more than 100 substations.\n, • Develop scalable fiber architecture, cable-routing plans, equipment arrangements, and infrastructure requirements.\n, • Create technical specifications, statements of work, and RFP documentation.\n, • Evaluate telecommunications technologies, including MPLS, DWDM, T1, and related networking solutions.\n, • Coordinate telecommunications system migration and integration activities.\n, • Manage technical relationships with vendors, contractors, and equipment providers.\n, • Support implementation, installation, testing, commissioning, and migration activities.\n, • Coordinate deployment activities across engineering, construction, procurement, operations, and field teams.\n, • Ensure the communications infrastructure meets utility-grade reliability and operational requirements.\n, • Conduct field visits to substations and other facilities as project needs require.\n\n Required Qualifications \n\n • Minimum of three years of relevant fiber-optic or telecommunications infrastructure experience, including large-scale network design or deployment.\n, • Experience with fiber-network design, architecture, cable routing, equipment arrangements, and infrastructure requirements.\n, • Knowledge of MPLS, DWDM, T1, and related telecommunications and networking technologies.\n, • Experience with telecommunications system migration and integration.\n, • Utility or substation telecommunications experience with an understanding of substation communications and utility-grade infrastructure.\n, • Experience developing technical specifications and RFP documentation.\n, • Strong vendor-management and large-scale project-coordination experience.\n, • Ability to work effectively across technical, operational, procurement, construction, vendor, and contractor teams.\n, • Valid driver’s license and ability to travel throughout the client’s service territory.\n\n Education Requirements \n Candidates must meet one of the following requirements: \n\n • Bachelor’s degree in Electrical or Mechanical Engineering with at least eight years of engineering experience, including a minimum of three years in relay protection and/or control systems engineering; or\n, • Master’s degree in Electrical or Mechanical Engineering with at least six years of engineering experience, including a minimum of three years in relay protection and/or control systems engineering.\n\n Preferred Qualifications \n\n • Experience supporting electric utilities, critical infrastructure, or geographically distributed infrastructure deployments.\n, • Experience with telecommunications equipment, enclosures, system commissioning, and legacy-system migration.\n, • Experience coordinating large, multi-site deployments involving engineering, construction, procurement, operations, vendors, and contractors.\n, • Working knowledge of IEC 61850.\n, • Industry involvement with EPRI, NATF, or similar organizations, particularly related to relay applications.\n\n Additional Requirements \n\n • Ability to travel to substations and other client locations as required.\n, • Ability to wear required personal protective equipment.\n, • Ability to work in power plants and high-voltage substations.\n, • Ability to work in various indoor and outdoor environments and weather conditions.\n, • Availability to support emergency-response assignments outside normal business hours, including nights, weekends, and holidays, when necessary.\n, • Ability to sit or stand and use standard computer and office equipment throughout the workday.\n\n

\n • Full time\n, • Perm\n, • On site in NYC - Midtown East Manhattan - 5 days a week\n, • $200K base + very generous bonus\n\n \n C++ Engineer (Market Access) \n \n We are seeking a highly skilled C++ Engineer with deep expertise in low-latency market access systems to design, build, and optimize connectivity to global exchanges. This role is ideal for an engineer with extensive experience in modern C++, performance-critical systems, and electronic trading environments, who wants to work on ultra-fast, mission-critical infrastructure. \n Responsibilities \n\n • Design, develop, and optimize low-latency market access gateways and exchange connectivity components.\n, • Implement new exchange protocols, order entry, and market data handlers across global markets.\n, • Enhance performance through micro-optimizations, lock-free programming, CPU/memory profiling, and latency-reduction techniques.\n, • Collaborate closely with traders, quants, and infrastructure teams to deliver robust, high-performance trading systems.\n, • Maintain and improve reliability, throughput, and system observability across all market access components.\n, • Participate in full software lifecycle: design, testing, deployment, monitoring, and incident response.\n\n Qualifications \n\n • Expert-level C++ (C++17/20), with deep knowledge of templates, STL internals, optimization, concurrency, and memory models.\n, • Extensive experience working in finance, ideally in market access, HFT, low-latency trading, or market data systems.\n, • Strong understanding of network programming, kernel bypass technologies, multicast,\n, • TCP/UDP, and high-performance messaging.\n, • Hands-on experience with Linux internals, performance tuning, CPU affinity, and profiling tools.\n, • Experience with exchange protocols (OUCH, FIX/FIXP, binary protocols, proprietary APIs).\n, • Ability to work in high-pressure, rapid-iteration environments with a focus on precision and stability.\n, • Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or related technical field.\n\n Preferred Experience \n\n • Background in equities, options, futures, or FX market structure.\n, • Experience with packet capture/analysis, kernel tuning, and ultra-low-latency optimization.\n, • Familiarity with Python for tooling and automation.\n, • Experience improving end-to-end system performance: networking, hardware, OS, and application layers.\n\n

Job Summary \n \n Miller’s Tug and Barge is seeking an experienced Port Engineer to oversee the maintenance, repair, and operational readiness of our fleet. This position ensures compliance with regulatory standards, manages preventive maintenance programs, and collaborates with vessel crews, management, and external vendors to maximize fleet efficiency and reliability. \n \n The Port Engineer will play a key role in planning and executing maintenance projects, supervising emergency repairs, and optimizing operational costs while upholding the highest safety and environmental standards. \n Key Responsibilities \n\n • Fleet Maintenance & Repairs\n, • Develop, implement, and oversee preventative maintenance programs for vessels.\n, • Conduct inspections to ensure vessel safety, operational efficiency, and compliance with regulatory requirements.\n, • Plan, manage, and oversee dry-docking and major shipyard repairs, including budgeting, scheduling, and execution.\n, • Troubleshoot and assist with vessel mechanical, electrical, and hydraulic system issues.\n, • Coordinate emergency repairs and casualty response efforts for the fleet.\n, • Work closely with vessel crews to maintain and document daily operational and maintenance records.\n, • Regulatory Compliance & Documentation\n, • Ensure vessels comply with USCG, ABS, OSHA, and EPA, requirements.\n, • Maintain all necessary documentation for vessel certifications, inspections, and audits.\n, • Assist in regulatory inspections and audits, ensuring corrective actions are completed as required.\n, • Ensure compliance with environmental regulations and company policies.\n, • Budgeting & Cost Management\n, • Develop and manage maintenance and repair budgets, ensuring cost-effective solutions.\n, • Oversee procurement of spare parts, inventory control, and vendor negotiations.\n, • Analyze maintenance trends and implement cost-saving initiatives.\n, • Crew Training & Support\n, • Provide technical guidance and training to vessel engineers and crew on maintenance procedures, repairs, and safety protocols.\n, • Assist in hiring, evaluating, and mentoring engineering staff.\n, • Conduct safety training and promote a culture of operational excellence.\n, • Operational Support\n, • Respond to vessel-related issues 24/7 as needed.\n, • Support fleet operations by ensuring vessels are maintained and available for deployment.\n, • Work closely with operations and marine personnel to optimize fleet performance.\n\n Required Qualifications \n\n • Bachelor’s degree in Marine Engineering, Mechanical Engineering, or a related field preferred.\n, • Minimum of 5 years’ experience in vessel maintenance and repair, preferably on tugs, OSVs, Crew Boats or barges.\n, • USCG Merchant Mariner Credential (DDE Unlimited or higher preferred).\n, • Strong knowledge of Subchapters I, L, M, T, dry docking, shipyard operations, and regulatory compliance.\n, • Experience managing budgets, cost analysis, and procurement.\n, • Proficiency in Microsoft Office Suite, maintenance tracking software (e.g., Helm, or AutoCad).\n, • Valid TWIC card or ability to obtain one.\n, • Strong problem-solving, analytical, and decision-making skills.\n, • Ability to work independently and as part of a team.\n, • Physically capable of boarding vessels, climbing ladders, and working in marine environments.\n\n Work Environment & Conditions \n\n • Work will be performed in an office, shipyard, and onboard vessels.\n, • Must be able to travel and work flexible hours, including nights, weekends, and emergency call-outs.\n, • Exposure to marine environments, including extreme weather conditions, confined spaces, and mechanical hazards.\n\n Why Join Miller’s Tug and Barge? \n\n • Competitive salary and benefits package.\n, • Work with an experienced and dedicated marine operations team.\n, • Opportunity to make a significant impact on a growing fleet.\n, • Dynamic and hands-on work environment.\n, • If you are an experienced marine engineer with a passion for vessel maintenance and operational excellence, we invite you to apply!\n

Mechanical Engineers \n Nationwide Opportunities Are you a creative problem solver who loves turning concepts into real-world solutions? Whether your expertise is in pharma, medical device, med tech, or advanced manufacturing, we’d love to connect.\n \n \nAt Scientific Search, we partner with cutting-edge companies across the U.S. that depend on Mechanical Engineers to design, build, and improve the systems and products that power innovation. We support a wide range of clients — from emerging startups to global leaders — and regularly recruit for mechanical and product-focused engineering roles.\n \n \nWe’re always interested in connecting with professionals experienced in:\n \n \n\n • Mechanical design, prototyping, and testing\n, • CAD modeling (SolidWorks, Creo, AutoCAD, etc.)\n, • Equipment, tooling, or fixture design for manufacturing environments\n, • Product development, reliability, and continuous improvement projects\n, • Working cross-functionally with R&D, manufacturing, and quality teams \nIf you’d like to be considered for future Mechanical Engineer roles, we’d love to learn more about your background and keep you in mind as new opportunities arise.\n \n Submit your resume We’re continually expanding our engineering network — let’s stay in touch so we can reach out when the perfect opportunity aligns with your goals. #19579

Company Description Meridian brings context-aware AI agents to industries that have traditionally been overlooked in technology adoption such as supply chain, manufacturing, staffing and more. The company works closely with sector experts to automate operations, enhance decision-making, and unlock new efficiencies through applied AI. Meridian is backed by leading investors, including Sunflower Capital, Pear VC, SV Angel, and angels from Anthropic. Team members join a fast-moving environment where they can shape products from the ground up and see their work deployed directly in critical industry workflows. \n \n Role Description The Software Engineer role at Meridian is a full-time, on-site position based in New York, NY. In this role, the engineer designs, builds, and maintains backend systems and services that power AI-driven products, with a focus on performance, reliability, and scalability. Day-to-day responsibilities include writing clean, maintainable code, implementing APIs, integrating data sources, and collaborating with product and AI teams to translate requirements into technical solutions. The role also involves participating in code reviews, improving development processes, and troubleshooting production issues to ensure smooth operation of customer-facing systems. Engineers are expected to contribute to architectural decisions, documentation, and continuous improvement of the overall software stack. \n \n Qualifications \n\n • Strong foundation in Computer Science, including algorithms, data structures, and systems fundamentals.\n, • Proficiency in Software Development and Programming, with experience shipping production-quality code.\n, • Hands-on experience in Back-End Web Development, including building and maintaining APIs and services.\n, • Solid understanding of Object-Oriented Programming (OOP) principles and their application in modern codebases.\n, • Experience with Python, TypeScript and relational or NoSQL databases.\n, • Comfort working in Linux-based environments, using version control (Git) and standard development tooling.\n, • Ability to collaborate in a cross-functional team, communicate clearly, and take ownership of projects from design through deployment.\n, • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; prior experience with AI/ML systems or data-intensive applications is a plus.\n

Marketing Statement \n Tokio Marine Global Services (TMGS) is the US-based operation of Tokio Marine Holdings, one of the largest global insurance groups in the world, headquartered in Tokyo, Japan. TMGS accelerates synergy and collaboration across the Tokio Marine Group by delivering core infrastructure services in the areas of actuarial services, internal audit, investor relations, and information technology. TMGS supports Tokio Marine’s operations across 46 countries and regions and more than 50,000 employees worldwide, serving as a hub for global innovation through a strong people strategy and sustainable international growth. \n \n Job Summary: \n As the Senior Incident Response/Operations Engineer under the Global Fusion Center US Operations, you will handle day-to-day maintenance of security infrastructure in addition to proactive threat hunting and incident response. Your role will be key in the development, installation, configuration, and continuous improvement of the global security operations service and be critical in the response to external and internal threats. This position will require a blend of technical expertise, analytical skills, and effective communication abilities to ensure swift and efficient handling of security events. You will also be expected to identify opportunities to automate and improve effectiveness of operations. \n \n Essential Job Functions: \n\n • Conduct security investigations and lead security incident response in a cross-functional environment and drive incident resolution\n, • Monitor security systems and infrastructure to support best performance and reliability\n, • Implement and manage security tools and processes, to detect and mitigate threats\n, • Maintain robust security feeds and ensure data integrity\n, • Proactively look for threats working with level one analysts, affected teams and security vendors.\n, • Author threat detection rules and subsequent SOAR playbooks\n, • Refine operational metrics, key performance indicators, and service level objectives to measure Security Operations and Incident Response services\n, • Identify and implement security process automation, continuously improving processes and tools.\n, • Be a technical subject matter expert for Security Operations and incident Response services.\n, • Provide expertise to partnered security teams in mitigation of those threats\n, • Communicate complex technical information clearly and concisely to both technical and non-technical audiences\n, • Collaborate with partner security teams to offer guidance and bolster support of the organization’s security infrastructure\n, • Build, cultivate, and maintain positive relationships with internal customers to identify and facilitate solutions to increase the impact of the team's work\n, • Influence and align the team’s vision and strategy\n\n \n Other Functions: \n\n • Follow proper internal controls as necessary to conduct job functions and/or carry out responsibilities and/or administrative activities at the Company\n, • Perform special projects and other duties as may be assigned\n, • Establish and build strong working relations and partnerships with other teams, Group Companies, and senior management\n\n \n Qualifications: \n\n • 8 or more years of experience in an operational cybersecurity role\n, • 3 or more years of hands-on incident response experience\n, • Experience developing and delivering on incident and program status for leadership\n, • Experience in threat hunting including leveraging intelligence data to proactively find and iteratively investigate suspicious behavior across networks and systems\n, • Experience analyzing network and host-based security events\n, • Proficient System Administration with either Microsoft Windows or Linux\n, • Proficient with CLI shells such as PowerShell or bash\n, • Proficient with Security Log infrastructure configuration such as Windows Event Forwarding (WEF) or syslog\n, • Proficient in an interpreted language such as Python, Perl, or Ruby\n, • Familiarity with regular expressions\n, • Familiarity with Large Language Models tools such as Ollama\n, • Knowledge of operating systems, file systems, and memory structures on Windows, MacOS and Linux\n, • Knowledge of networking technologies, specifically TCP/IP and the related protocols\n, • Understanding of networks, operating systems, and architecture and how they affect the security posture of a company\n, • Strong problem-solving aptitude\n, • Demonstrated ownership of projects or tasks\n, • Strong verbal and written communication skills\n, • Demonstrated professionalism and a calm demeanor while dealing with complex or high-urgency situations\n\n \n EEO Statement: \n Tokio Marine Group of Companies (including, but not limited to the Philadelphia Insurance Companies, Tokio Marine America, Inc., TMNA Services, LLC, TM Claims Service, Inc. and First Insurance Company of Hawaii, Ltd.) is an Equal Opportunity Employer. In order to remain competitive we must attract, develop, motivate, and retain the most qualified employees regardless of age, color, race, religion, gender, disability, national or ethnic origin, family circumstances, life experiences, marital status, military status, sexual orientation and/or any other status protected by law.

Lead Software Engineer \n $185,000–$215,000 base + 1.5%–2.0% equity \n New York City (Hybrid) \n \n We are working with an early-stage software company building a revenue intelligence platform for complex insurance workflows. \n \n The company helps multi-location healthcare operators identify and recover insurance underpayments by reconciling contracts, claims, fee schedules, and remittance data, then automating evidence-backed recovery workflows. \n \n Following a recent pre-seed raise, the team has strong runway, active design partners, and growing enterprise demand. They are now hiring their first full-time engineer to help lead technical direction and shape the future engineering team. \n \n The Role \n You’ll work directly with the founders and take broad ownership across the platform. \n This is a highly hands-on role spanning product engineering, data systems, integrations, infrastructure and AI-driven workflows. You’ll help define technical direction, make key architectural decisions and play a major role in hiring and mentoring future engineers. \n \n What You’ll Do \n\n • Own critical systems across data ingestion, reconciliation and recovery workflows.\n, • Help set technical direction and make key architectural decisions.\n, • Build reliable integrations across contracts, claims, remittance and customer data.\n, • Develop evaluation and monitoring systems for models and automated workflows.\n, • Work directly with customers to turn complex operational problems into simple products.\n, • Shape engineering standards, processes and technical quality.\n, • Help hire, onboard and mentor future engineers as the team grows.\n\n \n What You’ll Bring \n\n • Strong software engineering fundamentals and experience owning important production systems.\n, • Experience building products in an early-stage or fast-moving environment.\n, • Strong product judgement and comfort working directly with customers.\n, • Confidence making architectural decisions with limited direction.\n, • Experience using modern AI tools while validating outputs and managing reliability.\n, • An interest in technical leadership, mentoring and team building.\n, • Healthcare, fintech or regulated-industry experience is useful but not required.\n\n \n Tech Stack \n\n • LLMs and agentic systems\n, • Data pipelines and integrations\n, • APIs and backend systems\n, • Relational and analytical databases\n, • Cloud infrastructure\n, • Secure multi-tenant architecture\n, • Observability and monitoring\n\n \n Why Join? \n This is a true founding technical role with direct influence over the product, architecture and engineering culture. \n \n You’ll work closely with the founders, help lead technical direction and play a major role in building the engineering team from the ground up. \n \n About People In AI \n People In AI partners with ambitious technology companies to build world-class technical teams, connecting exceptional engineering and AI talent with high-impact opportunities.

Senior Software Engineer (TypeScript / React / LLM Systems) • AI Infrastructure • $250,000 • Hybrid (2 days/week) • New York, NY \n \n Must be based in NYC & the role requires US Citizenship due to regulatory constraints. No sponsorship/visas/Green Card. \n \n About the Role \n We’re hiring a Senior Software Engineer to help build production-grade LLM-powered systems used in high-impact, real-world workflows. \n \n This is a true SWE + ML role. You’ll sit at the intersection of frontend UX, backend systems, and applied machine learning - owning features end to end. That includes React-heavy user interfaces, TypeScript services, and the pipelines that power LLM reasoning, retrieval and fine-tuning behind the scenes. \n \n You’ll work closely with product, design and ML engineers to ship tools where reliability, clarity and user experience matter just as much as model quality. \n \n Why You’ll Love It: \n Own real systems: From UX flows to LLM pipelines running in production. \n Engineering-first culture: Practical ML, not research theatre. Everything ships. \n High-impact UX: Build interfaces used daily by technical and non-technical users. \n Move fast: Small teams, short cycles, minimal process overhead. \n Serious problems: Latency, hallucination control, evaluation, observability and scale. \n \n What You’ll Do \n\n • Design and build TypeScript services that power LLM workflows including RAG pipelines, prompt orchestration and fine-tuning flows.\n, • Develop rich, intuitive React interfaces for AI-driven products - heavy focus on UX, clarity and usability.\n, • Implement retrieval systems using vector databases, hybrid search and structured data sources.\n, • Work hands-on with LLM APIs and open-source models (OpenAI, Anthropic, open-weight models).\n, • Collaborate with ML engineers on evaluation, fine-tuning strategies and production rollout.\n, • Own backend architecture across Node.js services, async pipelines and model-facing APIs.\n, • Improve system reliability through logging, monitoring, tracing and failure handling.\n, • Mentor engineers and contribute to design and architecture decisions across the platform.\n\n \n Tech Stack \n Frontend: React, TypeScript, Next.js, Tailwind CSS, Storybook \n Backend: Node.js, TypeScript, REST, GraphQL \n LLM Systems: RAG pipelines, fine-tuning workflows, prompt orchestration \n Data & Retrieval: PostgreSQL, Vector DBs (Pinecone, Weaviate, pgvector), Redis \n Infrastructure: AWS, Docker, Kubernetes, Terraform \n Observability: OpenTelemetry, Prometheus, Grafana, Sentry \n \n Nice to Have \n\n • Experience building production LLM systems beyond prototypes\n, • Hands-on fine-tuning experience (LoRA, adapters, evaluation pipelines)\n, • Background in ML engineering or applied NLP\n, • Experience designing complex frontend UX for data-heavy or AI-driven products\n, • Familiarity with model evaluation, guardrails and hallucination mitigation\n\n \n Interview Process \n\n • Intro Call with Open Talent (30 mins)\n, • Technical Deep-Dive (TypeScript / React + LLM systems, 60 mins)\n, • System Design & Architecture (45 mins)\n, • Leadership Chat with CTO (30 mins) → Offer\n\n \n What We Offer \n Comp: $160K-$240K W-2 (+ meaningful equity) \n Benefits: Health, dental, vision, 401(k) \n Time Off: Flexible PTO + company holidays \n Growth: Conference budget, learning allowance \n Environment: Hybrid (2 days NYC office), flexible notice period \n \n Equal Opportunity \n We're hiring for an Equal Opportunity Employer. \n Due to strong market interest, please apply early or email sufy@opentalent.uk to avoid missing out. \n \n All NYC roles posted here first: \n linkedin.com/in/sufyanbashir/

Machine Learning Performance Engineer (Inference) \n High-Frequency Trading Firm \n Compensation: $600,000-1.5 million total \n \n About the Opportunity \n A leading high frequency trading firm is hiring a Machine Learning Performance Engineer to sit at the intersection of quantitative research and high-performance production systems. In his role, you'll architect inference pipelines that operate at the physical limits of hardware, driving the speed, efficiency, and reliability of ML inference so predictive models consistently achieve microsecond-level latency. \n \n GPU usage across the firm's trading teams has grown roughly 100x in the past year as deep learning has moved from a supporting signal to the core of how strategies are built. That growth has outpaced the decision-making around it. Strategies get pushed onto GPUs by default, without anyone systematically asking whether GPU is the right target at all. This role owns that question end to end: benchmark the workload across CPU, GPU, and FPGA, decide the architecture on evidence, then optimize and deploy against it. \n \n You will also have the chance to revisit existing models that never reached production, some of which stalled for hardware or deployment reasons, and run them through different environments to determine where they belong. \n \n What You'll Do \n Benchmarking & Strategy \n\n • Lead the technical evaluation of inference platforms across CPUs, GPUs, and FPGAs to guide infrastructure deployment decisions\n, • Benchmark trading workloads across architectures before compute is committed, and identify where performance gains actually come from — code-level or hardware-level\n\n System Architecture Optimization \n\n • Analyze and enhance execution across deep memory hierarchies to maximize resource utilization and parallel processing\n, • Assess and resolve memory subsystem and interconnect bottlenecks across the end-to-end inference lifecycle\n\n Infrastructure & Deployment Feasibility \n\n • Work with Infrastructure teams to understand the thermal, power, and operational constraints of hardware platforms, and design inference strategies for latency-critical trading strategies that fit within those envelopes\n, • Consider the interaction between trading workloads, compute requirements, hardware selection, and fleet utilization\n\n GPU Kernel Development \n\n • Develop highly optimized kernels and integrate specialized performance libraries to extract maximum computational throughput from the underlying silicon\n\n Model Optimization & Deployment \n\n • Implement advanced model reduction techniques — quantization, pruning, distillation — to ensure compact memory footprints and numerical stability\n, • Prioritize optimization for low-latency, event-level inference workloads that meet real-time trading requirements\n\n Cross-Functional Collaboration \n\n • Partner closely with ML Researchers, HPC Engineers, FPGA Engineers, and Datacenter Engineers to bring target deployments to production\n\n \n What We're Looking For \n\n • 2+ years optimizing deep learning inference in latency-sensitive or high-throughput production environments, in any domain\n, • ML frameworks: deep expertise in lower-level ML framework development (PyTorch/JAX), paired with strong Python/C++ skills and a thorough understanding of mixed-precision computation\n, • Kernel development and tooling: proven experience building custom GPU kernels, with deep familiarity with optimization libraries and compilers (Triton, TensorRT, ONNX, IREE, HLS4ML, cuBLAS, CUTLASS) and profiling tools (Nsight Systems, Nsight Compute)\n, • GPU architecture: deep expertise in GPU microarchitecture, including SM execution, warp scheduling, and full memory hierarchy optimization from registers to HBM\n, • Cross-architecture benchmarking: a rigorous, data-driven track record evaluating inference performance across heterogeneous compute architectures\n, • Prior experience in financial trading is not required.\n\n \n Nice to Have \n\n • Practical experience targeting and optimizing inference workloads on specialized hardware ecosystems, including FPGAs and ASICs\n\n \n Why Join? \n This is a role with genuine decision-making scope. Rather than optimizing code for whatever hardware happens to be available, you will determine which hardware the workload should run on in the first place, prove it with data, and then build for it. That combination of architectural judgment and hands-on kernel, and the results are measurable in production almost immediately. \n You'll work on inference at microsecond latency, where the constraints are physical rather than theoretical, and where memory hierarchy, interconnect behavior, thermal envelopes, and fleet utilization all shape the answer. \n \n Benefits include generous paid time off, regional savings and financial wellness plans, hybrid working options, free breakfast, lunch, and snacks daily, in-office wellness experiences and reimbursement for select wellness expenses, company-sponsored sports teams and fitness events, volunteer and charitable giving opportunities, regular social events, and ongoing workshops and learning opportunities. \n \n The culture is collaborative and low on hierarchy, smart, driven people, an open-plan workspace, casual dress, and an environment where the best idea wins. \n \n Equal opportunity employer.

Senior Developer – Front End \n Experience: 7+ years of mobile development, including 3+ years of production Flutter \n Environment: Startup / High-Growth \n Work Environment: 5 days onsite, Hazlet, NJ 07730 \n Focus: Flutter, Mobile Architecture, Scalability & Release Management \n Position Overview \n We are looking for a Senior Flutter Developer to join a fast-growing technology company and play a critical role in the next stage of an established consumer-facing mobile platform. \n The app is already built and in market. This person will be highly hands-on within the existing product while helping drive the architecture, scalability, and technical direction of the front-end team as the company grows. \n The platform supports multiple white-labeled client applications from a shared codebase, making architecture, scalability, release management, and code quality especially important. \n This is a true startup environment. We are looking for someone who is passionate, sharp, collaborative, and comfortable taking significant ownership. Strong communication skills are essential, as this person will work closely with leadership, backend teams, developers, product stakeholders, and clients. \n This position is onsite 5 days per week. \n What You'll Own \n\n • Architecture & Scalability: Design and evolve an app architecture that supports multiple white-labeled clients using theming, feature flags, and configuration-driven builds.\n, • Flutter Development: Remain highly hands-on developing and improving an existing production Flutter application.\n, • Release & Platform Management: Own the end-to-end release pipeline across concurrent client builds, including TestFlight distribution, App Store Connect submissions, Google Play releases, versioning, and compliance issues.\n, • Third-Party Integrations: Integrate SDKs for ticketing, wallet/loyalty, payments, analytics, and real-time data feeds while isolating complexity behind clean interfaces.\n, • API Contracts: Partner proactively with backend engineering teams to define API contracts and ensure reliable communication between systems.\n, • Code Quality & Mentorship: Establish and enforce engineering standards around linting, testing strategy, architecture, and PR reviews while mentoring junior and mid-level developers.\n, • Performance & Reliability: Profile and resolve UI and performance issues related to real-time features such as live scores, loyalty programs, and in-venue commerce.\n, • Design applications for graceful degradation and reliability in challenging environments, including inconsistent venue Wi-Fi.\n, • Product & Client Fluency: Identify technical risks during sprint planning and comfortably explain technical decisions directly to clients.\n, • Help shape the structure and technical direction of a growing front-end engineering team.\n\n What You Bring \n\n • 7+ years of professional mobile development experience.\n, • 3+ years building production Flutter applications. Flutter is a MUST.\n, • Deep knowledge of Flutter/Dart, mobile architecture, and scalable application development.\n, • Proven experience architecting applications that support multiple clients, tenants, or brands from a single shared codebase.\n, • Deep familiarity with Apple App Store and Google Play Store release processes.\n, • Experience managing multiple concurrent application builds and releases.\n, • Production experience integrating third-party SDKs, including payments, ticketing, analytics, or similar technologies.\n, • Strong understanding of Flutter performance profiling and optimization.\n, • Experience designing scalable front-end architectures using reusable components, feature flags, theming, and configuration-driven development.\n, • A track record of mentoring engineers and establishing technical standards for a development team.\n, • Comfortable managing multiple concurrent projects and shifting priorities.\n, • Experience working in a fast-paced startup or high-growth environment with significant scale requirements.\n, • Excellent communication skills and the ability to communicate technical concepts clearly to both technical and non-technical audiences.\n, • Passionate about technology, product development, and building exceptional consumer experiences.\n, • Willing and able to work onsite 5 days per week.\n\n Nice to Have \n\n • React experience.\n, • Experience within sports, ticketing, or live-event technology.\n, • Familiarity with loyalty programs, digital wallets, or POS integrations.\n, • Experience building applications with real-time data and live-event functionality.\n, • Experience with automated Flutter testing frameworks such as Patrol.\n\n Ideal Candidate \n You are a senior, hands-on Flutter engineer who thinks beyond individual tickets and features. You understand how to architect a mobile platform that can support multiple clients and applications at scale, and you're comfortable owning everything from architecture and code quality to app-store releases and performance. \n You thrive in a startup environment where priorities move quickly and you can have a meaningful impact. You are equally comfortable writing code, mentoring developers, making architectural decisions, and communicating directly with clients and leadership. \n Most importantly, you're passionate about building great products and excited to help shape both the technology and the front-end engineering team as the company scales. \n

Job title: Senior Java Web Engineer \n Location: New York, NY 10005 \n • 1st Preference: New York City, NY \n • 2nd Preference: Massachusetts, Fort Mill, South Carolina, Raleigh, North Carolina, Washington DC \n \n Work Arrangement: Hybrid \n Employment Type: Contract \n Compensation: $45 per hour W2 \n Desired Start Date: 09/19/2026 \n \n About the Role: \n \n We are seeking an experienced [Senior Java Web Engineer] to join our team. The successful candidate will be responsible for the job responsibilities as listed below and will work closely with [team/stakeholders] to deliver high-quality solutions. \n \n Key Responsibilities: \n · Contributes to design, development, and implementation of backend services and web applications. \n · Writes clean, maintainable, and well-tested code following established engineering practices. \n · Participates in technical design discussions and collaborates with senior engineers and architects. \n · Works closely with frontend developers to integrate backend services with UI components. \n · Supports troubleshooting, debugging, and performance optimization of applications. \n · Breaks down user stories into technical tasks and delivers within agreed timelines. \n · Collaborates effectively in Agile teams with product owners, QA, and other developers. \n · Maintains and improves existing systems while ensuring stability and reliability. \n · Builds positive relationships within the team and contributes to a collaborative environment. \n · Communicates technical concepts clearly to both technical and non-technical stakeholders. \n · Continuously develops technical expertise and stays up to date with modern technologies and frameworks. \n \n Required Qualifications: [4-8]+ years of professional experience in [Java 21, React (version 17), Spring Boot 3.x ]. \n \n Essential skills: \n · Strong Java fundamentals (Java 21 preferred) including core concepts (collections, concurrency, memory management). \n · Solid experience with Spring Framework (Spring 4+) and Spring Boot 3.x. \n · Experience building and consuming REST APIs. \n · Good knowledge of React (version 17) and integration with backend services. \n · Strong understanding of web application architecture and client-server communication. \n · Experience with SQL and relational databases (e.g. PostgreSQL). \n · Proficiency with version control (Git) and build tools (Maven/Gradle). \n · Strong focus on clean code, unit testing, and code reviews. \n · Familiar with Agile development practices. \n · Comfortable working in Linux/Unix environments. \n · 4–8+ years of software engineering experience. \n \n Other desirable skills: \n · Experience with JSF / JSP applications and legacy UI technologies. \n · Familiarity with modern frontend practices and component-based architectures. \n · Experience with CI/CD pipelines and testing practices. \n · Exposure to Docker / containerization. \n · Basic understanding of distributed systems. \n · Familiarity with Spring ecosystem tooling. \n · Knowledge of financial systems or trading platforms is a plus. \n \n Educational background: \n · BS/MS in Computer Science or equivalent software engineering qualification. \n \n Interviews: \n There are three rounds of interview to select the candidate \n Round 1: Technical discussion \n Round 2: Live coding test by client \n Round 3: Technical discussion with client (Face to face for New York location candidates, Virtual for other location candidates) \n \n Work Authorization: Applicants must be legally authorized to work in the United States. \n \n Equal Employment Opportunity \n \n Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law. \n

In education, we have always traded off scale and quality. In a 30-student math class, half of kids are ready to accelerate while half are still working on their foundational skills, but teachers cannot be in 30 places at once, giving each student one-on-one support. \n \n Until now. Imagine 30 teachers in every classroom—that's how Goblins feels. Students draw math on any device, and our AI figures out the "why" behind their confusion, giving instant feedback and building conceptual foundations. \n \n We're backed by the Gates Foundation, and we're on track for 300,000 active students next year. We're hiring a product engineer to help us get there, and to make sure everything we've built holds up at that scale. \n \n What you might work on: \n \n • Scale our real-time teacher avatars to 300k students. Our Goblin avatars stream live to students in production today. Make them run smoothly at scale while cutting latency and cost, and think hard about reliability from every angle: Chromebook CPU, low-bandwidth classrooms, and the load spike when a whole district logs on at 9am. We really don't want to crash the school's network. \n \n • Make model experimentation something an agent can run end to end. We're always testing new models against each other in real classrooms. Build the machinery to pin a model for a cohort, roll it out gradually, watch the metrics, and roll back fast, all clean enough that we can hand the whole experiment loop off to an agent and let it run. \n \n • Keep every classroom in real-time sync at 300k concurrent students. Our real-time engine (think Linear) keeps every student's whiteboard and every teacher's dashboard instantly in sync. Make that hold up when thousands of classrooms are live at once, without melting our servers or the school's wifi. \n \n • Give teachers instant, reliable insight across thousands of simultaneous classrooms. Teachers need to see who's stuck and what to assign next in real time, even at peak load. Build the systems that keep those live reads fast and trustworthy. \n \n • Create shareable "aha moment" artifacts from real student sessions. Automatically find the best moments, strip out anything sensitive, and produce replays that teachers, parents, and districts want to watch and share, built to run cheaply over hundreds of thousands of sessions. \n \n How we build: we're all in on agentic development. Our remote dev environments make it normal to have five or more agents running per person at any given moment, and we design our systems and workflows so work can be handed off to them cleanly. We'd rather you orchestrate agents than grind code out by hand. \n \n Under the hood we're big on Effect-TS, Postgres and Bun + a real-time sync engine in the same spirit as Linear's. \n \n The team is small and in person in Williamsburg: Sawyer (CEO, former Head of Design at X1, acquired by Robinhood, and a former math teacher) and Alp (CTO, ex-Stripe and Amazon). You'll be engineer #3. \n \n We build software that figures out the "why" behind a kid's confusion. Show us you can do the same by decoding this :) \n \n 91 114 122 39 111 114 116 130 123 130 131 69 146 159 93 85 128 170 164 176 181 111 204 200 214 215 135 221 210 228 244 240 238 171 192 183 228 268 283 245 296 279 223 309 308 231 308 331 339 293 336 350 339 359 362 373 384 368 389 393 329 392 418 420 359 349 414 434 468 381 450 471 479 481 480 415 494 499 433 530 530 538 470 547 540 475 546 489 565 580 576 576 597 535 531 601 606 631 620 651 644 589 668 671 603 698 698 710 638 715 708 645 714 729 663 717 719 724 685 717 702

Founding Engineer — Confidential Search \n \n New York City | Five days on-site in Manhattan \n $250,000–$500,000 base + up to 2% equity \n Full-time | No visa sponsorship available \n \n Right, the important bit first. \n \n This isn’t one of those “Founding Engineer” jobs where you’ll arrive as employee 47 and spend your first month sitting in planning meetings. \n \n You’ll be the first engineering hire, joining two founders in a small, seriously profitable business that has gone from zero to significant eight-figure revenue in under a year — without raising outside funding. \n \n The company is building a real-time pricing and decisioning platform for a fast-moving consumer marketplace. The engineering problems look a lot like electronic trading: huge amounts of changing market data, automated bidding, live inventory and decisions where the financial impact shows up almost immediately. \n \n You’ll sit beside the founders in the office and own the core technology behind it. \n \n What you’ll actually be doing \n \n • Building and owning the pricing engine, bidding infrastructure and data systems that power the platform \n • Turning AI and model research into production systems that run continuously \n • Building proper experimentation and A/B testing frameworks around pricing decisions \n • Improving the speed, throughput and reliability of the bidding systems \n • Creating AI-powered tooling for triage, production failures and model-drift detection \n • Making the big early architecture calls and setting the engineering standard as the team grows \n • Getting very close to the commercial side of the business — what you ship can affect revenue within hours \n \n The non-negotiables \n \n • You have 3–10 years of professional software engineering experience \n • You have genuine 0→1 experience. You’ve personally taken an ambiguous product or technically difficult system from an idea into production — ideally as a founder, founding engineer or one of the first engineers \n • You’ve worked somewhere with a genuinely high engineering bar, whether that’s a top technology company or a smaller team solving very hard problems \n • You’ve designed, built and operated data-intensive production systems \n • You’re strong with Python, or close enough technically that moving into a Python-heavy environment won’t be an issue \n • You have proper platform, infrastructure or distributed-systems experience \n • You’re naturally good with data and comfortable making decisions when the information is incomplete, noisy or moving quickly \n • AI is already part of how you build. You’re using LLMs, agents and modern developer tooling in real work, not just playing around with them at the weekend \n • Your career shows progression, ownership and things you have actually shipped \n • You’re comfortable disagreeing with smart people, backing your opinion and changing it when the evidence proves you wrong \n • You’re still a very hands-on engineer. This isn’t a people-management or operations role \n • You can work on-site in Manhattan five days a week \n • You already have unrestricted US work authorisation. Unfortunately, sponsorship isn’t available \n \n You’ll probably be especially interesting if \n \n • You’ve founded something yourself or joined very early and helped it achieve real commercial traction \n • You’ve built systems around pricing, trading, marketplaces, bidding or optimisation \n • You’ve worked on production AI, model evaluation, automated operations or experimentation \n • You’re interested in markets, pricing or trading systems \n • You have a strong computer science background \n \n Why it’s worth a look \n \n You’ll be joining a tiny, profitable team with no investors breathing down its neck and no layers of approval. There’s a lot still to build, the problems are properly difficult and the upside is real. \n \n You won’t be handed a polished roadmap. You’ll work things out with the founders, challenge them when needed and take full ownership of what gets built. \n \n The base salary is $250,000–$500,000, depending on experience and the level of impact you can have, with up to 2% equity on top. \n \n The process \n \n 1. A 30-minute chat with one of the founders \n 1. A one-hour technical interview with the technical co-founder \n 1. A take-home exercise \n 1. A presentation of your work to the team \n 1. A final on-site meeting \n \n If it’s a strong fit on both sides, the whole thing can move from first chat to offer inside two weeks. \n \n When you apply, make it easy to see what you personally owned, what you built from 0→1 and what happened as a result. A list of technologies won’t tell the story — the interesting bit is what you actually built.

Role: Applied AI Engineer \n Location: New York, NY \n Onsite: 4-5 days \n Duration: 12 months \n Interview Process: \n\n • 1st: In-person\n, • 2nd: In-Person\n\n \n Must Have: \n\n • Strong background within Machine Learning\n, • Everything withing AI starts here\n, • Strong within Python (NOT looking for a software developer who has learned how to use models. Instead, looking for a core math background, machine learning, data model extraction and/or trading models.\n, • Pytorch\n, • Langchain\n, • Core AI Tools\n, • Document Extraction Experience and comfortable enhancing the model to produce better extraction\n, • RAG experience is a MUST\n, • Agentic Workflows Exp\n, • Ability to orchestrate workflows of a system. Someone who has applied their knowledge into apply agentc workflows - move through steps from beginning to end. Do transformation on it and produce a result\n, • Llm OPS\n, • NOT LOOKING FOR A SOFTWARE DEV WHO learned how to use models\n, • Building production systems and not just trying to learn something\n, • Someone who has applied knowledge into how EFFECTIVELY they can apply agentic workflows\n, • Must have professional experience working with a LIVE system, opposed to someone doing this recreationally\n, • Financial Services is a HUGE plus\n\n \n Plus: \n\n • Engineering Exp front to back\n, • Build workflows, examine systems, suggest solutions to it using data flows and gen AI, etc\n\n Fixed Income or Institutional Lending domain experience. \n • Experience working in regulated environments with strong audit and control requirements. \n • Familiarity with enterprise security, data governance, and entitlement models. \n • Experience designing reusable internal platforms or shared developer tooling. \n • Frontend experience is beneficial (Angular or React) \n \n D2D; \n • Design and evolve reusable GenAI workflows used across Lending business lines. \n • Develop an enterprise grade AI-based document ingestion and data extraction capability, including traceability, confidence scoring, and human-in-the-loop review. \n • Build AI-powered assistants embedded in Lending systems using agentic workflows. \n • Deliver automated content and deck generation workflows for reporting and approvals. \n • Provide expert advice on GenAI architecture including model selection, orchestration patterns, and evaluation strategy. \n • Establish LLMOps practices: extraction accuracy, assistant reliability, prompts management, and audit monitoring. \n • Design and implement controls for entitlements, PII handling within open-source models in a regulated environment. \n • In the role you are expected to act as a hands-on technical expert, and it has a clear path to becoming a platform owner responsible for shared GenAI standards across Lending. \n \n Misc: \n\n • They do not have this type of candidate on team today - they need this candidate to come in and be a SME on the team and be confident enough to bring their own two sense into the role.\n, • AI Platform is being built from scratch\n, • Need this candidate to bring knowledge of how to chain workflows and how to enhance extractions\n, • Stakeholders\n, • Strats (heavy math background) + Operations Users + Business Users\n, • Current Volume of Documents: Lending volume is Massive\n, • Docs can go from 1 page to 300+ pages (PDFs)\n\n \n Redflags: \n\n • Developer who simply is using AI\n\n \n Ideal Candidate: \n\n • Applied AI SME - how can come in and say " THIs is how it needs to be done, this is what I will need to do it, this is my timeline, etc."\n, • Practitioner is someone who not just someone giving out straight answer.\n\n

About the Company \n Our client is an applied AI company rebuilding how civil, structural, and MEP engineering firms do their work. Their thesis is blunt: most of what a practicing engineer does today is theoretically automatable, and almost none of it has been touched by AI. The company is venture backed, the team is small, and the foundational technical decisions are still being made. This is their highest-priority engineering hire. \n \n The Opportunity \n Every engineering firm that joins the platform arrives with its own systems, identities, data sources, and workflows. Your job is to turn that variety into shared software, so the fifth firm comes online in days instead of the weeks the first one took. You will own the technical substrate everything runs on: the platform architecture, the backend services, the path from commit to production, and the operating practices that keep it reliable as the company scales. \n \n You will work directly with the CTO and hold real influence over architecture and engineering practice from day one. This is a backend engineering role that includes infrastructure ownership. This role is not a DevOps or SRE seat, and it is not an architecture-only position. You will write production code. \n \n Because collaboration is key to their culture, this role is 5 days a week in their NYC office. \n \n What You'll Own \n\n • Platform architecture: design and evolve the shared platform across forward-deployed teams and partner firms, including tenant isolation, identity, permissions, integrations, APIs, and data flows.\n, • Production software: write and review backend and platform code across services, internal tools, integrations, and the infrastructure surrounding them.\n, • Delivery and developer experience: own the path from commit to production, including CI/CD, preview environments, testing infrastructure, local development, and repeatable release workflows.\n, • Distributed systems and reliability: define service boundaries, failure modes, observability, incident response, and reusable patterns that make every new firm easier to onboard.\n, • Technical direction: make pragmatic build-versus-buy decisions, establish engineering standards, and improve systems while the company is actively operating and growing.\n, • Bespoke-to-platform leverage: identify which customer-specific solutions should become shared capabilities and prevent the platform from turning into disconnected consulting work.\n, • Cross-functional execution: work directly with the CTO, forward-deployed engineers, and domain experts; troubleshoot production issues, unblock implementations, and occasionally travel when needed.\n\n \n What We're Looking For \n\n • At least 5 years of professional software engineering experience, with meaningful ownership of production systems. Actual level will be based on scope and judgment, not title alone.\n, • Strong software engineering fundamentals and the ability to reason about architecture, distributed systems, APIs, data flows, security, reliability, and operational tradeoffs.\n, • Experience operating systems in production and judgment shaped by real incidents, scale constraints, imperfect information, and competing business needs.\n, • A record of broad ownership in an earlier-stage or high-growth company, ideally Series B/C or earlier. Founding, first-platform-hire, or Staff-level scope is especially relevant.\n, • The ability to move between architecture and implementation: define the approach, write the code, debug the system, and improve the engineering practice around it.\n, • High communication ability and EQ. You explain tradeoffs clearly, ask good questions, receive feedback without ego, and build trust across technical and nontechnical teams.\n, • Comfort working on-site in New York City five days per week in a small, high-accountability environment.\n\n \n Relevant Experience \n Helpful backgrounds include internal developer platforms, multitenant products, enterprise integrations, identity and access management, observability, applied AI, distributed backend systems, or customer-facing engineering. \n \n Strong technical judgment, systems thinking, and evidence of ownership matter more than experience with every tool in the current stack. \n \n What This Role Is Not \n\n • It is not primarily Kubernetes, Terraform, CI/CD, or cloud administration.\n, • It is not a ticket-based operations role focused only on keeping existing infrastructure running.\n, • It is not an architecture-only position; the person in this seat will remain hands-on and write production code.\n, • Kubernetes expertise, prior M&A integration experience, AEC industry experience, and exact stack match are not required.\n\n \n Technology \n The current stack includes React and Next.js on the frontend, Kotlin for core backend services, Python for data and AI services, and multitenant infrastructure on AWS. These technologies are not key as judgment and ownership matter more than exact stack match. \n \n How the Team Works \n The team values people who are humble, hungry, and smart: low ego, intellectually honest, strong in judgment and communication, and motivated by ownership. The pace is urgent and accountability is high, but the culture is not built around extreme or unsustainable hours. \n \n Compensation and Benefits \n\n • Expected base salary of $200,000-$300,000, depending on experience and scope.\n, • Profit-interest equity participation with dilution protection.\n, • Full healthcare benefits.\n, • Direct access to the CTO and significant influence over platform architecture and engineering practices from an early stage.\n\n

\n \n Job Title: ELK STACK Engineer. \n Location: New York, NY \n Duration: 6 Months initially (extension possible) \n Job Type: Temporary Assignment \n Work Type: Hybrid (2 days onsite per week) \n Pay Rate: $50.00 - $57.00/Hr \n \n Overview: \n \n TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight. \n \n Job Description: \n \n Role Summary \n\n • We’re seeking a Search Platform Engineer with strong ELK stack expertise.\n, • The role focuses on Solr platform support across non-prod and prod environments and ElasticSearch PoCs, ensuring performance, reliability, and secure operations.\n\n Key Responsibilities \n Apache Solr (Primary) \n\n • Lead Solr administration across non-prod and prod environments.\n, • Operate SolrCloud (ZooKeeper, shards, replicas, leader election).\n, • Perform deep JVM tuning (heap/off-heap, GC, threads, caches).\n, • Diagnose and resolve search performance issues (CPU, GC, latency, throughput, memory leaks).\n, • Optimize high-volume indexing (commit strategies, merge policies).\n, • Enforce security and HA (TLS, RBAC, audits, zero-downtime upgrades).\n\n ELK Stack (Secondary) \n\n • Design and run Elasticsearch clusters for PoCs and production.\n, • Tune mappings, shards, JVM, and query DSL.\n, • Secure Elasticsearch using TLS and role-based access control.\n, • Implement observability and alerting (e.g., Prometheus, Grafana, Elastic).\n, • Platform Operations\n, • Execute capacity planning, benchmarking, and RCAs for search platforms.\n, • Ensure documentation, runbooks, and operational best practices.\n\n Lucidworks Fusion (Preferred) \n\n • Install, configure, and support Fusion (on-prem/cloud).\n, • Manage custom Fusion JARs, patches, and vendor-led upgrades.\n, • Build and tune ingestion and query pipelines.\n, • Troubleshoot Fusion/Spark and connector failures.\n\n Required Skills (Must-Have) \n\n • hands-on Apache Solr administration experience.\n, • Deep expertise with SolrCloud operations and JVM tuning.\n, • Strong troubleshooting skills for performance, indexing, and query optimization.\n, • Solid understanding of TLS, RBAC, HA, and zero-downtime upgrades.\n, • Experience supporting Lucidworks Fusion (installation, pipelines, upgrades).\n, • Secondary/Optional Skills (Good to Have)\n, • ELK stack administration: Elasticsearch (PoCs & production), Logstash/Kibana exposure.\n, • Observability tooling: Prometheus, Grafana, Elastic.\n, • Spark connectors and ingestion pipeline tuning.\n\n \n TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Hybrid until Jersey City goes fully onsite in Jersey City, NJ \n \n Our client seeks a Java/AWS Engineer to develop Kafka-based event-driven applications and RESTful APIs within a high-throughput, low-latency brokerage processing domain. The role will design and build reusable microservices on AWS while supporting modernization from legacy systems to cloud-native solutions. You will apply CI/CD practices, containerization, and automation testing to deliver scalable, resilient services. \n \n 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. \n \n Rate: $85.00 to $90.00/hr. w2 \n \n Responsibilities \n\n • Design, architect, and build scalable, low-latency event-driven services using Java, Spring Boot, and Apache Kafka.\n, • Develop and maintain RESTful APIs and microservices with a focus on reusability and high throughput.\n, • Leverage AWS managed services, containerization, and infrastructure automation to deploy resilient applications.\n, • Implement CI/CD practices including feature toggles, blue-green deployments, and A/B testing to reduce risk and cycle time.\n, • Create automation testing with frameworks such as Cucumber to ensure quality and reliability.\n, • Participate in technical discussions and provide guidance to accelerate modernization squads.\n, • Optimize data access using Hibernate/JDBC and connection pooling with relational databases.\n, • Build and operate observability with CloudWatch and related tooling to ensure service health.\n\n \n Experience Requirements \n\n • 6+ years of professional experience with Java and Spring Boot.\n, • Hands-on experience building event-driven applications with Apache Kafka.\n, • Proficiency in designing high-throughput, low-latency distributed systems.\n, • Experience developing RESTful APIs and microservices with Spring Boot.\n, • Hands-on experience with container-based development using Docker.\n, • Experience with Hibernate ORM, JDBC, and connection pooling against relational databases.\n, • Experience with CI/CD tools and practices such as GitHub, Jenkins, Stash, Artifactory, and Terraform.\n, • Experience with AWS services such as Lambda, DynamoDB, API Gateway, SQS, EC2, S3, CloudWatch, IAM, and EKS (preferred).\n, • Automation testing experience using frameworks like Cucumber.\n, • Background in implementing microservices architecture and highly automated, scalable infrastructure.\n\n

You're not here to maintain someone else's platform. You're here to define how reliability works across an entire engineering organization. \n \n This is a SRE role at one of the world's largest hedge funds, with a genuine engineering-first culture. Technology isn't treated as a support function here-it's a core part of the business, backed by significant investment and a track record that speaks for itself. \n \n You'll be building the tooling that hundreds of engineers rely on every day. That means getting deep into observability, automation, and infrastructure, and doing it at a scale where the decisions you make actually matter. \n \n You'll partner closely with engineering teams across the organization, driving automation and shaping reliability practices from the ground up. You'll have real ownership and the autonomy to move fast and do things properly. \n \n You'll be working across GCP, Terraform, Ansible, and CI/CD pipelines, with strong observability tooling like Datadog at the center of how you understand system health. You'll bring solid Python skills and a deep understanding of distributed systems and what it actually takes to keep them reliable at scale. \n \n Ideally you've already built or operated scalable, reliable systems in complex environments. You know how to work with engineering teams, not just support them, and you understand that the best reliability work happens when you're embedded in the product, not watching from the outside. \n \n The compensation reflects the seriousness of the role, starting at $175,000 - $300,000 base plus a highly competitive performance bonus, with the kind of exposure to best-in-class engineers and modern tooling that genuinely accelerates a career. \n \n Fully onsite \n \n Ready to own reliability at scale? \n \n Get in touch. \n \n No up-to-date CV required.

Company Profile: \n AppCard Inc. is a technology and marketing company headquartered in Manhattan, NY. Appcard has a powerful marketing tool that leverages data acquired at the point of sale (POS) via an advanced rewards program to create advanced retargeting campaigns that help businesses increase their bottom line. AppCard is unique in the loyalty space due to its patented technology which allows businesses to capture shopper identity and item level data in realtime from purchases made in store and online. The benefit of this is two fold: consumers benefit by receiving offers, incentives and coupons. Through a shopper’s interactions with the former AppCard’s platform records and learns shopper behavior and gives grocers the ability to make their data actionable to increase average basket size and systematically increase repeat purchases. \n \n About the role: \n We are seeking an experienced Senior Devops Engineer to design, build, and maintain our hybrid infrastructure, which spans both cloud and IOT environments. This role is hands-on and involves managing IoT devices at scale, developing tools for system deployment and monitoring, and leading modernization projects from design through production. You will collaborate with cross-functional teams to ensure the development of reliable, secure, and scalable systems, while mentoring teammates and driving best practices in infrastructure engineering. \n \n What you’ll do: \n\n • Own, design, build, and maintain infrastructure for part of our cloud-based and on-premise IOT environments, ensuring reliability, security, and scalability\n, • Develop and introduce tools to enhance the deployment, management, and monitoring of customer premise equipment, IoT devices and backend systems\n, • Manage system architecture and modernization projects, driving them from design through implementation to production operations\n, • Enhance observability and monitoring of infrastructure and IoT devices, developing both custom tooling and utilizing off the shelf offerings\n, • Implement secure connectivity solutions to ensure resilient and safe device-to-cloud communication\n, • Mentor and guide team members, sharing best practices in infrastructure, monitoring, and system design\n\n \n What you have: \n\n • 5+ years of experience in Infrastructure Engineering, SRE, or DevOps roles with strong Sys-Admin background in Linux systems\n, • Strong Linux systems and networking knowledge (docker, firewalls, load balancers, and VPNs)\n, • Solid background in monitoring, alerting, and troubleshooting large-scale distributed systems\n, • B.Sc. in Computer Science or equivalent\n, • Software development skills relating to building infrastructure (Python)\n, • Hands-on expertise with a variety of AWS services\n, • Proven ability to manage and secure hybrid (Cloud + On-Prem) infrastructure\n, • Familiarity with Infrastructure as Code (Terraform, Ansible, CDK etc.) for automation and system consistency\n, • Excellent communication skills in English; team-oriented and proactive mindset\n\n \n Preferred Qualifications: \n\n • Strong experience managing servers and/or IoT devices at scale\n, • Experience with AWS IoT offerings, such as GreenGrass v2\n, • Knowledge of best practices of secure infrastructure design\n\n \n This role is full-time from our NYC office \n Applicants must be authorized to work in the U.S. This position is not eligible for employer visa sponsorship."

Staff Product Engineer \n On-site New York City \n \n Company Overview \n Our client helps businesses win and deliver government contracts that advance American interests. Their AI platform is a single, secure, workflow-driven system for the full contracting lifecycle, from opportunity discovery and capture through proposal execution, award, and post-award operations. \n \n In 2025 alone, customers won more than $5B in government contracts. We’ve raised $42M to move faster on product and scale nationwide. \n \n Our small, talent-dense team includes engineers from Google, Lockheed Martin, and CACI, along with veteran proposal managers and capture leaders. This mix of AI talent and deep GovCon expertise uniquely positions us to redefine how contractors work. \n \n About the Role \n They are hiring a Senior Software Engineer (Product) to help build core product experiences. This role is for engineers who enjoy working across the stack, owning product features end-to-end, and shipping high-quality software that customers rely on every day. \n \n You'll contribute to multiple product areas over time, building reusable systems, intuitive user interfaces, and reliable backend services that power mission‑critical workflows for government contractors. While teams may focus on different domains, this role is centered on full‑stack product development, customer impact, and strong engineering fundamentals. \n \n What You'll Do \n\n • Design, build, and ship full‑stack product features using TypeScript across frontend and backend systems.\n, • Lead substantial product features from end-to-end, setting technical direction and patterns within your product area, and maintaining a relentless focus on customer experience.\n, • Build intuitive interfaces and APIs that help users understand, guide, and trust AI‑powered workflows.\n, • Create systems that surface reasoning, highlight errors, emphasize citations, and track progress across complex documents.\n, • Improve system reliability, performance, and scalability as the platform grows.\n, • Continuously incorporate user feedback to refine features and deliver better customer outcomes.\n\n \n What We're Looking For \n\n • 2+ years of professional software engineering experience.\n, • Strong full‑stack development experience with TypeScript / Node.js.\n, • Comfort working across frontend and backend systems (React‑based UIs and service APIs).\n, • Strong CS fundamentals, sound architectural judgment, and experience scaling production systems.\n, • Product‑oriented mindset and an obsession with customer experience and usability.\n, • Self‑starter with an ownership mentality who thrives in a fast‑paced startup environment.\n, • Clear communicator who collaborates effectively across disciplines.\n\n \n Nice to Have \n\n • Previous experience as a founder or engineer at a fast-growing startup.fgov\n, • Experience building AI‑powered or LLM‑enabled product features.\n, • Experience with government contracting or public‑sector software.\n, • Experience with complex integrations and syncing with external systems.\n\n \n Engineers Today \n\n • Work with React (TypeScript), Node.js, Next.js, Temporal, and modern cloud infrastructure.\n, • Move with speed and urgency without sacrificing quality.\n, • Embrace hard problems and take pride in elegant solutions.\n, • Put themselves in the shoes of users to build thoughtful, trustworthy experiences.\n, • Value clear, frequent communication and strong team ownership.\n, • Feel deep accountability and enjoy building for the businesses we serve.\n\n

Setlog is a camera-first social app for sharing everyday moments and staying close with friends. We’re building a more playful way to keep up with the people you care about and turn the moments you share into memories. Today, Setlog has millions of daily users across East Asia, with our largest communities in Japan and South Korea. East Asia remains our core market as we begin bringing Setlog to a new generation of friends in the US. We’re looking for a Product Engineer who can utilize AI to build fast while manually perfecting the details and building delightful interfaces. \n \n What you’ll do \n\n • Build and improve core iOS and Android product experiences\n, • Fix bugs and improve reliability across key user flows\n, • Work closely with the founder on product direction and implementation\n, • Contribute to features that improve retention, delight, and everyday usefulness\n, • Help turn user feedback into better product decisions\n\n \n We’re looking for someone who \n\n • Has strong iOS and Android engineering skills\n, • Cares deeply about product quality and user experience\n, • Can move fast without being degrading the app\n, • Is comfortable with ambiguity and changing priorities\n, • Has strong product instincts, not just implementation ability\n, • Can operate with a high degree of autonomy\n, • Is comfortable owning problems without needing highly detailed day-to-day direction\n, • Wants to help shape a consumer product at an early stage\n\n \n Location \n • New York City preferred. \n • We are currently remote-flexible, HQ is in NYC. \n \n Compensation \n • Salary + equity.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.\n \n About The Role As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people.\n \n \nAs a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.\n \n Responsibilities \n\n • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.\n, • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more.\n, • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives.\n, • Work with stakeholders and translate their needs and expectations into action items and deliverables.\n, • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines.\n, • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. \nWhat We're Looking For \n\n • 5+ years of professional/industry experience\n, • Proficient in Python, SQL, DevOps, and databases.\n, • 5+ years of professional/industry experience.\n, • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes.\n, • Experience modeling data sets for different types of sources and business processes.\n, • Passionate about designing elegant data infrastructure, tooling, and pipelines.\n, • Familiarity with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery). and CI/CD technologies (CircleCI), Spark, Databricks \nAs a Member Of Our Team, You’ll Enjoy 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.\n \n Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.\n \n Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)\n \n Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.\n \n Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.\n \n ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community.\n \n At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions.\n \n Courage: We embrace lofty goals and tough challenges.\n \n Empathy: We deeply consider the perspective of others.\n \n Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.\n \n 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 let your Talent Acquisition partner know. #Hinge Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

Job Title: Senior Salesforce Developer/Architect \n Location: New York, NY \n Work Schedule: Hybrid \n Duration: 6-months contract to hire role (100% CTH) \n Note: Local candidates who can work on W2 basis without any sponsorship are encouraged to apply. \n \n Position Overview: \n\n • Success Academy Charter Schools is seeking a Senior Salesforce Developer / Salesforce Architect to lead the architecture, design, and technical delivery of enterprise Salesforce solutions. This is a highly strategic role requiring exceptional systems thinking, product mindset, and technical leadership—not just hands-on Salesforce development.\n, • The ideal candidate will be comfortable working in fast-paced, evolving environments where requirements may be ambiguous. You'll collaborate with business stakeholders, own architectural decisions, mentor distributed engineering teams, and build scalable Salesforce solutions that balance user experience, platform integrity, and delivery speed.\n, • This is not a traditional Salesforce Developer role—it is designed for an experienced Technical Lead or Solution Architect capable of driving enterprise-wide Salesforce initiatives from strategy through implementation.\n\n \n Key Responsibilities: \n\n • Salesforce Architecture & Technical Leadership -\n, • Own the end-to-end architecture, solution design, and technical direction of enterprise Salesforce implementations.\n, • Design scalable, secure, maintainable, and high-performing Salesforce solutions aligned with business objectives.\n, • Translate evolving business requirements into practical technical solutions and architectural roadmaps.\n, • Define integration strategies across Salesforce and enterprise systems.\n, • Evaluate technical trade-offs between scalability, maintainability, usability, performance, and delivery timelines.\n\n \n Engineering Leadership - \n\n • Lead and mentor offshore and distributed Salesforce development teams.\n, • Establish and enforce Salesforce development standards, coding best practices, architecture guidelines, and governance.\n, • Perform architecture reviews, design reviews, and code reviews to ensure long-term platform health.\n, • Provide hands-on technical leadership when needed to resolve complex technical challenges or unblock delivery.\n\n \n Stakeholder Collaboration - \n\n • Partner closely with Product Managers, Business Analysts, Architects, and business stakeholders to shape technical solutions.\n, • Facilitate technical discussions and provide trusted architectural recommendations.\n, • Communicate effectively with both technical and executive audiences.\n, • Participate in solution design sessions, planning meetings, estimations, and technical workshops.\n\n \n Delivery & Platform Governance - \n\n • Identify technical risks, dependencies, bottlenecks, and architectural concerns early in the project lifecycle.\n, • Drive mitigation strategies that support predictable delivery without compromising technical quality.\n, • Ensure platform scalability, reliability, maintainability, and long-term sustainability.\n, • Continuously reduce technical debt and simplify overall system architecture.\n, • Maintain adherence to Agile delivery practices and operational excellence.\n\n \n Required Qualifications: \n\n • Significant experience designing, architecting, and delivering enterprise Salesforce solutions at scale.\n, • Proven ownership of Salesforce platform architecture beyond feature-level development.\n, • Strong experience leading offshore and/or globally distributed Salesforce development teams.\n, • Deep understanding of Salesforce platform architecture, Apex, Lightning Web Components (LWC), Flows, APIs, integrations, security model, and deployment strategies.\n, • Strong systems-thinking mindset with the ability to simplify complex business and technical problems.\n, • Ability to balance competing priorities involving scalability, usability, performance, maintainability, and delivery timelines.\n, • Comfortable working with evolving or incomplete business requirements.\n, • Excellent communication and stakeholder management skills with both technical and non-technical audiences.\n, • Experience working in Agile/Scrum development environments.\n\n \n Preferred Qualifications: \n\n • Salesforce Platform Developer I Certification.\n, • Salesforce Platform Developer II Certification.\n, • Salesforce Application Architect and/or System Architect Certifications.\n, • Experience serving as a Technical Lead, Salesforce Architect, Principal Engineer, or Independent Consultant.\n, • Product-minded approach with strong focus on user outcomes and long-term platform health.\n, • Experience establishing enterprise architecture standards and technical governance.\n, • Independent decision-maker capable of leading complex architectural initiatives with minimal supervision.\n

🚀 NOW HIRING | Agentic AI Engineer – GenAI + Python \n \n 📍 Location: New York, NY \n ⏳ Duration: 12 Months \n \n Architect. Build. Govern. Transform Enterprise AI. \n \n We are seeking a hands-on Agentic AI Architect to help shape and deliver next-generation enterprise AI solutions. \n \n This is a highly technical role for an architect who can operate across enterprise architecture governance and hands-on GenAI engineering — evaluating complex application architectures while also designing and building sophisticated AI agents, LLM-powered workflows, and multi-agent solutions. \n \n The ideal candidate brings a strong combination of Python development, Agentic AI, architecture review, distributed systems, security, cloud, and enterprise integration experience. \n \n 🔹 Key Responsibilities \n\n • Review application and solution architectures against enterprise standards, reference architectures, and approved technology patterns\n, • Identify architectural gaps, deviations, risks, and dependencies and drive appropriate remediation\n, • Evaluate security, access controls, APIs, Kafka, databases, integrations, and enterprise connectivity\n, • Assess end-to-end data flows, observability, logging, monitoring, scalability, and performance engineering\n, • Architect and build single-agent and multi-agent AI solutions for enterprise use cases\n, • Develop and integrate AI agents using LLMs, tools, APIs, enterprise platforms, and external services\n, • Establish architectural patterns for secure, scalable, resilient, and production-ready GenAI solutions\n, • Evaluate technical approaches for AI applications, including agent orchestration, tool calling, context management, and enterprise integration\n, • Partner with engineering, security, cloud, platform, and architecture teams to ensure solutions meet enterprise requirements\n, • Provide technical leadership from architecture assessment through implementation and production readiness\n\n \n 🔹 Required Technical Expertise \n\n • Strong hands-on Python development experience\n, • Proven experience designing and building GenAI / Agentic AI solutions\n, • Practical experience with LLMs, AI agents, tool calling, orchestration, and agentic workflows\n, • Experience with frameworks such as LangChain, AutoGen, CrewAI, or comparable agent frameworks\n, • Understanding of MCP (Model Context Protocol) and modern AI-agent integration patterns\n, • Strong background in application architecture, architecture assessment, and technology governance\n, • Solid understanding of distributed systems, Kafka, APIs, databases, and enterprise integrations\n, • Knowledge of security architecture, authentication/authorization, access controls, and vulnerability assessment\n, • Experience with observability, logging, monitoring, reliability, and performance engineering\n, • Cloud experience with AWS, Azure, and/or GCP\n\n \n ⭐ Preferred Qualifications \n\n • Experience participating in or supporting Architecture Review Boards (ARB) or enterprise architecture governance\n, • Familiarity with enterprise architecture standards, technology governance, risk management, and compliance\n, • Experience assessing GenAI architectures for security, scalability, reliability, maintainability, and enterprise readiness\n, • Experience translating emerging AI technologies into practical enterprise architecture patterns\n\n \n Why This Opportunity? \n Join a high-impact initiative at the intersection of Enterprise Architecture and Agentic AI. \n \n You’ll have the opportunity to influence how modern AI solutions are architected, governed, integrated, secured, and scaled across enterprise environments — while remaining hands-on with the technologies powering the next generation of intelligent applications.

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

Hello, \n \n We have 2 urgent openings for "Java Software Engineer". These are hybrid roles. \n \n Only looking for candidates who can work on W2 \n Strictly no C2C or third-party vendors \n \n Location: Jersey City, NJ \n Duration: 12+ months \n \n Job Description \n We are seeking an experienced Senior Java Software Engineer to join our technology team in Jersey City, NJ. The ideal candidate will have strong hands-on experience in Core Java and Java 8, along with expertise in Spring Boot, Spring JPA, and Hibernate. \n The role involves designing, developing, and supporting high-performance, scalable applications that process large volumes of financial transactions and data. The candidate should have strong fundamental coding skills and be comfortable working in a high-volume financial services environment. \n \n Key Responsibilities \n\n • Design, develop, test, and maintain robust and scalable Java applications using Core Java and Java 8.\n, • Apply strong knowledge of Java fundamentals, object-oriented programming, design principles, and clean coding practices.\n, • Develop highly concurrent and multi-threaded applications using Java concurrency and multi-threading concepts.\n, • Work extensively with the Java Collections Framework, including List, Set, Map, and concurrent collections.\n, • Use Java 8 Lambda expressions and Stream APIs to implement efficient data-processing solutions.\n, • Demonstrate strong understanding of Stream operations such as map, filter, groupingBy, collect, and reduction operations.\n, • Develop and optimize database interactions using JDBC.\n, • Build persistence layers using Spring JPA and Hibernate.\n, • Develop RESTful services and enterprise applications using Spring Boot.\n, • Analyze application performance using Java profiling and monitoring tools and identify memory, CPU, threading, and performance bottlenecks.\n, • Develop applications capable of processing and handling large volumes of financial data and transactions.\n, • Troubleshoot production issues, perform root-cause analysis, and implement permanent solutions.\n, • Collaborate with architects, developers, business analysts, QA teams, and other stakeholders in an Agile development environment.\n, • Follow enterprise standards for security, scalability, reliability, coding, testing, and deployment.\n\n \n Required Skills / Experience \n 1. Core Java / Java 8 – Must Have \n\n • Strong hands-on experience with Core Java and Java 8.\n, • Excellent understanding of object-oriented programming, exception handling, interfaces, abstract classes, and Java fundamentals.\n, • Strong knowledge of Java Collections API.\n, • Strong experience with multi-threading and concurrency, including threads, synchronization, executors, locks, and concurrent collections.\n, • Hands-on experience with Lambda expressions and Stream API.\n\n \n 1. Spring Boot / Spring Framework – Must Have \n\n • Strong hands-on experience with Spring Boot.\n, • Experience developing enterprise-grade REST APIs and backend services.\n, • Good understanding of Spring dependency injection, configuration, exception handling, and application lifecycle.\n, • Experience building scalable and maintainable applications using Spring-based frameworks.\n\n \n 1. Spring JPA / Hibernate – Must Have \n\n • Strong experience with Spring Data JPA and Hibernate.\n, • Experience developing database-driven applications using ORM technologies.\n, • Strong understanding of entity relationships, lazy/eager loading, transactions, JPQL, and query optimization.\n, • Experience troubleshooting database and ORM performance issues.\n\n \n 1. Financial Services / High-Volume Applications – Must Have \n\n • Previous experience developing Java/Spring applications in a financial services, banking, capital markets, or other high-volume transaction-processing environment.\n, • Experience working with applications that process large volumes of data and transactions.\n, • Understanding of requirements around application performance, scalability, reliability, and data integrity in financial systems.\n, • Experience troubleshooting performance and production issues in large-scale enterprise applications.\n\n \n Preferred Qualifications \n\n • Bachelor's degree in Computer Science, Engineering, or a related field.\n, • Experience working in large enterprise technology environments.\n, • Experience with RESTful APIs and microservices architecture.\n, • Experience with SQL and relational databases.\n, • Experience with Agile/Scrum development methodologies.\n, • Strong problem-solving and analytical skills.\n, • Excellent communication and collaboration skills.\n\n \n Top 5 Must-Have Skillsets \n\n • Senior-level Core Java / Java 8 – strong coding fundamentals, collections, multi-threading, concurrency, JDBC.\n, • Java 8 Lambda & Stream API – including map, groupingBy, filtering, collecting, and complex data transformations.\n, • Spring Boot – hands-on enterprise application and REST API development.\n, • Spring JPA / Hibernate – ORM, transactions, entity relationships, and database performance.\n, • Financial Services / High-Volume Systems – experience building and supporting scalable Java/Spring applications handling large volumes of financial data or transactions.\n\n \n Ideal Candidate Profile \n The ideal candidate is a hands-on Senior Java Engineer with strong Core Java fundamentals and proven experience building high-performance, scalable applications in the financial services domain. The candidate should be particularly strong in Java 8, concurrency, collections, Lambda/Streams, Spring Boot, JPA, and Hibernate, with the ability to troubleshoot and optimize applications operating at enterprise scale. \n \n \n ABOUT US: \n Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. \n \n If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to rohit AT anaghtech.com. Thank you for your time.