Trabajos reliability engineer en Newark, New JerseyCrear alertas

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

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.

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.

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.

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

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

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/

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.

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

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.

\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

The Opportunity \n 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. \n \n 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. \n \n The Stack & Scale \n 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. \n \n What You'll Do \n\n • Build and ship fullstack features across the product, from backend services to frontend UI\n, • Work with the engineers building the AI agent layer to surface agent outputs and AI-driven features in the product\n, • Design and scale backend services and APIs supporting real-time, high-throughput workloads\n, • Partner with product and design to take features from concept to production\n, • Contribute to reliability, performance, and code quality across the stack\n, • Work directly with founders and have real say in product features, roadmap, and technical decisions\n\n \n What Makes You a Fit \n\n • Bachelor's Degree in Computer Science or related STEM field\n, • 5+ years of fullstack engineering experience\n, • Strong experience with a modern frontend framework (React, Vue, etc.)\n, • Backend experience with Python, Node.js, Golang, or similar\n, • Experience working with or around AI/ML systems, hands-on LLM or agent experience is a bonus but not a dealbreaker\n, • Solid understanding of API design, databases, and cloud infrastructure, AWS a plus\n, • Startup experience preferred, but we care more about how you think and build than where you've worked\n, • Strong communicator and takes ownership without being asked twice\n\n

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

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

\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.

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

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

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

Senior Software Engineer \n $185,000–$215,000 base + 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.

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.

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.

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

Founding Software Engineer \n NYC Hybrid - Manhattan Office \n Compensation: $180,000–$220,000 USD base salary + equity in the company \n \n Shields Group Search is partnering with an early-stage mental health technology company that is expanding its engineering team. \n \n About the Company \n Our client builds software and operational infrastructure for psychotherapy practices. The platform helps therapists and practice owners understand how their businesses are performing, identify what needs attention, and reduce the administrative work required to run a practice. \n The company is expanding its engineering team as it grows. \n \n The Role \n We are looking for an experienced, generalist engineer who can own a deliverable end-to-end across the stack without needing well-defined requirements or close management. \n The company is also building toward a product where AI sits at the core of how the system works, rather than being bolted on after the fact. Experience building agentic or LLM-powered features is a strong plus. \n You will own both the roadmap and execution for whatever you take on. This includes discussing problems, identifying opportunities, forming opinions, proposing features, making tradeoffs, building the product, deploying it, and operating it in production. \n \n What You’ll Work On: \n • Pulling data from EHR platforms and transforming it reliably at scale \n • Building and improving analytics, metrics, reports, and operational insights \n • Creating features such as prioritized tasks and recommended actions \n • Building “talk to your data” and other conversational, AI-native experiences \n • Building production features that rely on LLMs and agentic workflows \n • Deepening and expanding EHR integrations \n • Improving reliability, scalability, and data quality across the platform \n • Owning the AWS infrastructure behind whatever you build \n \n You will occasionally speak directly with therapists and practice owners, but this is primarily a product-building role rather than a customer-success role. \n \n How the Team Uses LLMs \n The team uses Claude Code and Codex as core engineering tools and is looking for someone with a sophisticated, high-throughput agentic workflow, not someone who uses AI assistants only occasionally. \n That might mean running many agent sessions in parallel, splitting large initiatives into independent workstreams, or building tooling around agent orchestration, review, and testing. \n At the same time, the company does not want someone who relies on LLMs for basic reasoning. You should have developed strong engineering judgment before coding agents were widely available, including understanding how systems work, catching bad assumptions, and navigating difficult technical decisions independently. \n The ideal candidate was already an excellent engineer and has used LLMs to become dramatically more effective. \n \n What We’re Looking For \n • Comfort owning a deliverable full-stack and end-to-end \n • Comfort working from loosely defined requirements without close management; this is not a role for someone who needs to be managed or a junior engineer \n • Extensive professional experience with Claude Code, Codex, or both \n • Experience coordinating complex work across multiple coding-agent sessions \n • A track record of owning and shipping substantial production products \n • Strong Python backend experience \n • Strong TypeScript and React experience \n • Experience operating production systems on AWS \n • Strong PostgreSQL and data-system fundamentals \n • Experience building production features that use LLMs, ideally agentic ones \n • The ability to work across product, backend, frontend, data, infrastructure, and operations \n • Strong written and verbal communication \n • The ability to disagree directly and constructively \n • Empathy for users and teammates \n • Comfort operating with limited guidance \n \n Technology stack: FastAPI, React, PostgreSQL, ECS, RDS, ElastiCache, EC2, Playwright, and GitHub Actions. \n \n\n • Experience with healthcare, EHRs, HIPAA, analytics products, browser automation, or custom agent tooling is useful but not required.\n, • This is an individual-contributor role with real scope and influence over the product. It may grow into technical leadership over time, but that is not a requirement to take it on.\n, • How the Team Works\n, • This is an early-stage company with aggressive goals, and the pace reflects that. It is a high-intensity environment, not a standard 9-to-5.\n, • At the same time, you will have substantial control over how you structure your day. The team cares about outcomes, communication, and ownership rather than fixed hours or performative availability.\n, • This is a high-autonomy position for someone who wants significant responsibility and influence.\n, • You will work directly with the founder and foundational engineer, alongside an engineer focused on data and integrations.\n\n \n This Role Is Not a Fit If You: \n\n • Need detailed specifications before making progress\n, • Require frequent hand-holding or close management\n, • Treat generated code as trustworthy by default\n, • Rely on LLMs to do the underlying reasoning for you\n, • Avoid direct or difficult conversations\n, • Are looking for a conventional 40-hour workweek\n\n \n Why Join \n Mental health care in the United States is understaffed and under strain. Therapists are overwhelmed, and the businesses behind them are often run on spreadsheets and guesswork. \n The company is building the infrastructure that allows psychotherapy practices to scale, see more patients, run healthier businesses, and spend less time on administrative overhead. \n It is a real, underserved problem, and the work you do will directly affect whether practices can grow and survive. \n \n Beyond the mission, you will: \n • Own meaningful, company-defining product surfaces \n • Shape both the roadmap and the architecture \n • Build on an existing product and customer foundation \n • Build AI-native features tied to real operational outcomes \n • Help define an agent-native engineering culture \n • Work directly with the founders

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

Summary \n Empowered Buildings is a fast-growing building automation company seeking a motivated, detail-oriented engineer with 8+ years of experience in the building automation industry, a deep understanding of mechanical and control systems, and a passion for providing technical leadership, mentoring engineers, and supporting project teams. \n \n About Empowered Buildings: Empowered Buildings helps building owners and operators reduce operating costs, improve system reliability, and optimize building performance through the integration of building automation, engineering, IoT connectivity, AI-driven analytics, and intelligent software. \n We combine a consultative approach with scalable solutions to deliver measurable outcomes across commercial real estate, multifamily, banking, healthcare, education, and quick service restaurant portfolios. \n Our focus is delivering measurable business outcomes by improving operational efficiency, enabling proactive monitoring and predictive maintenance, mitigating catastrophic risk, and transforming building data into actionable insights through the intelligent integration of engineering, connected technologies, and AI-driven analytics. \n \n Role Description \n The Senior Building Automation Applications Engineer is a full-time, remote, or on-site role based in New York, NY. The successful candidate will provide technical leadership and engineering support for project managers, field technicians, and customers. This role is responsible for developing controls applications, programming, graphics, submittals, commissioning support, and engineering standards to ensure projects are delivered efficiently and consistently. \n \n Primary Responsibilities \n\n • Lead all controls application engineering across the company.\n, • Review and approve system designs; develop and maintain engineering standards.\n, • Develop graphics standards and design or oversee complex graphics and operator user interfaces.\n, • Review all submittals and as-builts before release.\n, • Mentor engineering staff and standardize programming, templates, and documentation.\n, • Manage projects using project-management platforms — tracking open items, documenting activity, and coordinating field dispatch.\n, • Improve engineering processes and quality control.\n\n \n Required Qualifications \n\n • Accredited engineering degree (equivalent experience will be considered), ideally with a mechanical engineering background.\n, • 8+ years of engineering experience in the building automation / controls industry.\n, • Deep understanding of mechanical and HVAC system operation.\n, • Expertise in the design and submission of control systems, control-system hardware, control sequences, and installation.\n, • Knowledge of low and line-voltage controls wiring, networking, and blueprint reading.\n, • Circuit design, and the ability to choose the correct equipment and controllers for the application.\n, • Controls-system troubleshooting — finding the problem in a system by reviewing programs, points, and data.\n, • Preparation of submittals and as-builts.\n, • Graphics design for building management systems — building clear, visually appealing, and intuitive operator interfaces, including animations and custom data-graphic objects.\n, • Strong attention to detail and the ability to fully understand how a system works in order to display it correctly.\n, • Mentoring skills to motivate and supervise engineering and technical staff.\n\n \n Preferred Qualifications \n\n • Experience with higher-level object-oriented programming and software design — some programming experience beyond controls.\n, • Familiarity with Python, JavaScript, HTML, or a similar language.\n, • Using AI tools to build software and workflow automations.\n, • Proficiency in Visio; ability to create macros and custom programmed graphic objects.\n, • Photoshop / image-editing experience and a natural eye for visually appealing design.\n, • Remote server management.\n, • Reliable Controls Experience, or Distech, Honeywell, Johnson Controls, or Schneider controls experience.\n, • Niagara certification; Registered PE; CEM, other nationally recognized trade certifications.\n, • Experience with LON, BACnet, LoRa, or Modbus protocols.\n\n \n Compensation & Benefits \n We offer a competitive salary of $140,000–$195,000 per year, plus a comprehensive benefits package and the ability to grow with our fast-growing company. \n • Health, dental, retirement, and vision insurance \n • Flexible spending account \n • Paid time off \n • Professional development assistance \n \n Schedule & Location \n\n • Standard business hours, Monday to Friday.\n, • Extended and after-hours work are required as needed to meet project demands.\n, • Remote or In-person role based in the New York, NY.\n\n \n Equal Employment Opportunity \n Empowered Buildings provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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.

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."

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

🚀 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.

Company Overview: \n \n Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for our customers, employees, shareholders, and society. \n BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. \n \n BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients drive smarter decisions, reduce risks, and stay ahead in a fast-evolving market environment. \n About the Role: \n We are seeking a hands-on Mid – Senior level Data Engineer to lead the design and delivery of complex data products supporting Portfolio Management, Trading, Risk Analytics, and other front-office investment teams. \n The ideal candidate brings deep experience with Python, SQL, APIs, cloud-based data platforms, and investment-management data, along with the ability to make architectural decisions, establish engineering patterns, review technical designs and code, and provide direction to other engineers. \n This role will remain deeply involved in design and development while helping improve the quality, effectiveness, and delivery capabilities of the broader engineering team. \n \n \n \n \n Key Responsibilities: \n\n • Lead the design and development of front-office data products spanning data ingestion, transformation, database design, APIs, and React-based user experiences.\n, • Build and enhance scalable data pipelines for critical investment data sources, including high-volume and near-real-time datasets where required.\n, • Design scalable database structures and data models spanning source-aligned data through curated, consumption-ready datasets.\n, • Own data products covering positions and holdings, transactions and investment activity, security and instrument master data, pricing and valuations, market data, reference data, accounts and portfolios, and related risk and analytics data.\n, • Define how investment data domains connect to create coherent, trusted data products for Portfolio Managers, Traders, Risk professionals, and other front-office users.\n, • Design and develop REST and/or GraphQL APIs and data-access patterns supporting applications, analytics workflows, and AI-enabled solutions.\n, • Build and guide the development of React-based applications that allow investment professionals to explore, validate, and interact with complex data.\n, • Partner directly with Portfolio Management, Trading, Risk, Data, and other stakeholders to translate complex business workflows into scalable technical solutions.\n, • Own technical design decisions including data models, integration approaches, API contracts, performance considerations, and user-experience patterns.\n, • Break complex initiatives into clearly defined engineering workstreams and coordinate execution across multiple engineers.\n, • Provide technical guidance, mentoring, code reviews, and design feedback to engineers across the team.\n, • Establish and reinforce engineering standards covering code quality, testing, observability, documentation, reliability, performance, and maintainability.\n, • Identify and resolve complex issues involving data quality, reconciliation, pipeline performance, query optimization, data lineage, API performance, and front-end usability.\n, • Lead end-to-end troubleshooting of production issues spanning source systems, pipelines, databases, APIs, and end-user applications.\n, • Leverage modern AI-assisted engineering tools to accelerate software development, testing, debugging, documentation, data analysis, and solution design.\n, • Identify opportunities to incorporate AI assistants, agents, and natural-language workflows into the way users interact with trusted investment data.\n\n \n Required Skills and Experience: \n\n • 7 -10+ years of professional software engineering experience, with significant hands-on experience across backend/data engineering and front-end development.\n, • Demonstrated experience as a Technical Lead, Lead Engineer, or Senior Engineer responsible for providing technical direction to other developers.\n, • Strong programming skills in Python, with experience building production-grade data pipelines, services, and applications.\n, • Expert-level SQL skills with strong experience designing, querying, and optimizing relational and analytical database structures.\n, • Deep experience building complex data pipelines involving ingestion, transformation, validation, reconciliation, and delivery of large-scale datasets.\n, • Strong experience designing and developing REST and/or GraphQL APIs.\n, • Experience with cloud-based data environments and modern analytical warehouses; Azure, Snowflake, and Azure Kubernetes Service (AKS) is required.\n, • Strong understanding of the complete data lifecycle from source ingestion and transformation through storage, curated data products, APIs, applications, analytics, and AI consumption.\n, • Proven ability to make architectural and implementation decisions across data, backend, API, and front-end layers.\n, • Experience reviewing technical designs and code produced by other engineers and driving improvements in quality, performance, and maintainability.\n, • Experience leading complex engineering initiatives from requirements and architecture through implementation, testing, deployment, and production support.\n, • Significant experience within asset management, investment management, capital markets, or a similarly complex financial-data environment.\n, • Strong knowledge of front-office investment data domains including positions/holdings, transactions, pricing, market data, security master, reference data, account and portfolio data, and risk/analytics data.\n, • Ability to understand how investment data domains interact and how they support Portfolio Managers, Traders, Risk professionals, and investment analytics users.\n, • Strong experience using modern AI-assisted development tools such as Codex, Claude, Cursor, GitHub Copilot, or similar technologies.\n, • Strong communication skills with the ability to work directly with both engineering teams and front-office stakeholders.\n, • Ability to operate effectively in a high-expectation environment with significant ownership of production systems and delivery outcomes.\n\n \n Compensation: \n The base salary range for this role is $160,000 - $200,000 \n Benefits: \n\n • Choice of medical, dental, vision insurance.\n, • Voluntary benefits.\n, • Short- and long-term disability.\n, • HSA and FSAs.\n, • Matching 401k.\n, • Discretionary performance bonus.\n, • Employee referral bonus.\n, • Employee assistance program.\n, • 11 public holidays.\n, • 20 days PTO.\n, • 7 Sick Days.\n, • PTO buy and sell program.\n, • Volunteer days.\n, • Paid parental leave.\n, • Remote/hybrid work environment support.\n\n \n For more information about BIP US, visit https://www.bip-group.com/en-us/. \n \n Equal Employment Opportunity: \n It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. \n \n BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge. \n

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.

🚀 Expert Forward Deployed Engineer | Java, DevOps, SRE & Security \n \n Solve complex engineering problems. Modernize critical banking applications. Make a measurable impact. \n \n The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications. \n \n Forward Deployed Engineers will conduct targeted, hands-on engagements with development teams that are facing challenges with vulnerability remediation, automated testing, legacy technology, production stability, or achieving a safe and rapid release cadence. \n \n The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and configuration. \n \n The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM runtimes, modernizing Spring and legacy middleware applications, improving CI/CD pipelines, containerizing applications, automating deployments, and introducing standard observability and resilience patterns. \n \n The Expert FDE is expected to lead complex engagements, work directly with development and client stakeholders, define the technical remediation approach, implement critical changes personally, and enable client teams to maintain the improved engineering practices. \n \n Responsibilities: \n\n • Lead targeted technical engagements addressing security, testing, release, resilience, and legacy technology challenges with development teams.\n, • Assess application code, dependencies, runtime environment, test coverage, deployment architecture, CI/CD pipelines, observability, and operational risks.\n, • Write, debug, review, and enhance production-quality code and configuration throughout engagements.\n, • Define and implement practical modernization and remediation plans with clear priorities, dependencies, risks, and measurable outcomes.\n, • Develop or improve unit, integration, component, contract, and deployment smoke tests using Test-Driven Development practices.\n, • Select appropriate automation-testing approaches per application and drive implementation, including the use of AI coding assistance.\n, • Source suitable test data and implement secure data masking for lower environments.\n, • Conduct vulnerability triage, root-cause and dependency reachability analyses, remediation prioritization, secure code changes, and regression testing.\n, • Upgrade Java, JVM, NPM, Spring, open-source libraries, internal dependencies, installed software, base images, and operating systems to supported versions.\n, • Establish sustainable dependency-management processes with continuous library updates using Renovate or equivalent tools.\n, • Modernize legacy applications and middleware stacks, including those deployed on WebSphere or WebLogic.\n, • Containerize applications using Docker and support deployment to OpenShift.\n, • Improve source control, branch management, pull-request, and code-review practices.\n, • Design, implement, and optimize CI/CD pipelines to ensure safe, repeatable, automated, and easy releases.\n, • Automate database changes using Liquibase or equivalent migration tools.\n, • Automate installed software and environment changes using Ansible or equivalent configuration management tools.\n, • Implement secure coding patterns, secrets management, authentication, authorization, and least-privilege controls.\n, • Introduce standard observability patterns, including structured logging, application metrics, tracing, dashboards, alerting, and actionable health checks.\n, • Enhance exception handling, operational diagnostics, rollback procedures, and production-validation controls.\n, • Design or improve resilient deployment architectures, including hot-hot cross-datacenter deployments where required.\n, • Lead technical workshops and effectively communicate technical decisions, risks, blockers, trade-offs, and progress to engineering, security, architecture, operations, project management, and stakeholders.\n, • Provide technical leadership through code reviews, coaching, reusable standards, documentation, and knowledge transfer to development teams.\n, • Take ownership from initial assessment through implementation, production deployment, stabilization, and handover.\n\n \n Mandatory Skills Description: \n The role demands extensive hands-on software engineering experience, with a focus on developing and maintaining production applications. Candidates must actively write and configure code, not merely oversee architecture or management tasks. Expertise in Java and JVM-based development is essential, while strong TypeScript skills are valued for Node.js-centric projects. Proficiency with the Spring ecosystem and modernizing Java enterprise applications is required. The candidate should demonstrate recent personal involvement in coding, debugging, and reviewing production code. \n \n Hard skills include practical experience in Test-Driven Development across multiple testing frameworks, with a solid understanding of various testing types such as unit, integration, and regression tests. The role involves creating automated test suites integrated within CI/CD pipelines, along with designing release automation and quality gates. Strong knowledge of secure coding practices, vulnerability remediation, and dependency risk management is necessary, including the ability to analyze application impacts before applying security fixes. Experience upgrading runtimes, frameworks, libraries, container platforms like Docker or OpenShift, and managing Linux environments—preferably Red Hat Enterprise Linux—is also important. Familiarity with build tools such as Maven, Gradle, or npm, advanced Git workflows, and comprehensive production-debugging techniques is expected. Candidates should understand application observability, exception handling, and production readiness, as well as fundamental distributed and critical system engineering principles. \n \n Soft skills focus on demonstrated ownership of complex technical work through all stages, from design to production handover. Strong client-facing communication is essential, including leading technical discussions, constructively challenging unsafe practices, and explaining trade-offs to diverse stakeholders. The ability to coach engineers and implement sustainable engineering standards without excessive customization is critical. Responsible and active use of AI coding tools to enhance engineering, testing, and delivery outcomes is also expected. \n \n Hard skills: \n\n • Java/JVM and optionally TypeScript development with Spring ecosystem expertise\n, • Test-Driven Development and automated testing within CI/CD frameworks\n, • Secure coding, vulnerability management, and dependency risk analysis\n, • Runtime, framework, library upgrades, and container platform management\n, • Linux system administration, build tools, Git workflows, and production debugging\n, • Application observability and distributed system engineering principles\n\n \n Soft skills: \n\n • End-to-end ownership of technical projects\n, • Effective client communication and technical leadership\n, • Coaching and sustainable standards implementation\n, • Proficient use of AI-assisted development tools\n\n \n Nice-to-Have Skills Description: \n\n • Experience modernizing or migrating applications hosted on IBM WebSphere or Oracle WebLogic, demonstrating familiarity with these platforms.\n, • Experience with major-version upgrades and migration from older versions of Spring or Spring Boot, indicating proficiency in framework transitions.\n, • Experience configuring continuous dependency-update tools such as Renovate or Dependabot, showing capability in automating dependency management.\n, • Experience with dependency reachability analysis, Software Composition Analysis, CVE assessment, and remediation of transitive dependencies, reflecting knowledge of software security and compliance.\n, • Experience automating database changes using Liquibase or Flyway, indicating skills in database migration automation.\n, • Experience using Ansible or equivalent configuration-management and deployment-automation tools, demonstrating proficiency in infrastructure automation.\n, • Strong experience in TypeScript, Node.js, and the npm ecosystem, highlighting development expertise in these technologies.\n, • Experience with Kubernetes in addition to OpenShift, showing understanding of container orchestration platforms.\n, • Experience designing hot-hot, active-active, multi-region, or cross-datacenter deployment architectures, denoting knowledge of high-availability systems.\n, • Experience with resilience testing, disaster recovery, controlled failover, and production-recovery exercises, highlighting skills in system reliability and continuity planning.\n, • Experience with enterprise observability tools such as Splunk, ELK, Grafana, Prometheus, OpenTelemetry, AppDynamics, or Dynatrace, reflecting proficiency in monitoring and diagnostics.\n, • Experience modernizing monolithic or legacy enterprise applications into maintain\n\n \n 📩 Apply now and take on your next engineering challenge.

Job Description REMOTE POSITION, BUT CANDIDATE MUST RESIDE IN NEW JERSEY AND BE AVAILABLE FOR OCCASIONAL SITE VISITS IN NYC/NORTHERN NJ. Compensation is negotiated as a lump-sum fee for each assigned project or scope of work, based on the project scope, schedule, and responsibilities. This is not an hourly employee position. Project workload will vary, and no minimum number of projects or amount of work is guaranteed. Our goal is to develop long-term relationships with strong freelance professionals who can become regular members of AEP's extended project team. Qualified contractors may be added to our team for future assignments and contacted as suitable projects become available. Work is primarily performed from home. Occasional site visits in Northern NJ and NYC are required AEP Engineering, LLC is a growing MEP engineering consulting firm seeking an experienced, highly reliable U.S.-based freelance Plumbing / Fire Protection / Sprinkler Designer within practical driving distance of the New York City / Northern New Jersey metropolitan area to support commercial and residential building projects. This is a 1099 independent-contractor position only. We are looking for an established freelancer or independent professional with meaningful availability for ongoing project work. This is not intended as a moonlighting position for someone whose full-time employment will take priority over AEP projects. The right person will become a trusted recurring member of our extended project team and will be expected to take ownership of assigned work, meet commitments, and communicate proactively. Responsibilities Typical responsibilities may include: • Develop plumbing and fire-protection designs from architectural backgrounds, project criteria, and direction from AEP, • Develop domestic cold- and hot-water distribution systems, • Develop sanitary waste and vent systems, • Develop storm-drainage systems where applicable, • Develop natural-gas distribution systems where applicable, • Perform plumbing fixture-unit, water-demand, sanitary, storm, and gas-load calculations, • Size piping and related plumbing-system components, • Design domestic water-heating systems and select equipment, • Develop plumbing riser diagrams and schematics, • Coordinate plumbing requirements for architectural, mechanical, electrical, kitchen, specialty, and other equipment, • Develop fire-protection and sprinkler-system layouts where included in the project scope, • Determine applicable sprinkler design criteria, hazard classifications, design densities, coverage requirements, and system requirements, • Develop sprinkler head layouts, piping arrangements, risers, standpipes, and related fire-protection systems as applicable, • Develop fire-protection performance criteria and coordinated design drawings for delegated-design sprinkler systems where appropriate, • Perform or assist with sprinkler hydraulic calculations where required, • Review available water-supply information and identify when additional flow-test or utility information is required, • Coordinate fire-protection systems with architectural, structural, mechanical, electrical, fire alarm, and plumbing disciplines, • Prepare plumbing and fire-protection plans, schedules, risers, details, notes, and specifications, • Assist with equipment selections and technical product review, • Identify coordination conflicts and missing information before they affect the project, • Incorporate review comments and revisions, • Perform self-QA/QC before submitting work for AEP review, • Assist with responses to contractor, architect, and client technical questions as required What We Are Looking For We are looking for a designer, not simply a CAD operator. The ideal candidate can receive architectural backgrounds and project requirements, understand the design intent, determine what needs to be done, and independently develop coordinated plumbing and fire-protection designs without requiring every pipe, fixture connection, valve, sprinkler head, riser, and note to be individually marked up. Technical ability is important, but reliability, communication, and ownership are equally important to us. We are specifically looking for someone who: • Treats agreed project deadlines as firm commitments, • Does not place AEP projects on the back burner because another client becomes more urgent, • Communicates immediately if an issue could affect scope, schedule, or quality, • Proactively identifies missing information, coordination issues, design concerns, and potential problems, • Asks questions early rather than allowing uncertainty to become a last-minute issue, • Takes ownership of assigned work from start through completion, • Is receptive to feedback and willing to learn AEP's preferred design standards, procedures, and workflows, • Reviews their own work carefully before submitting it, • Communicates clearly and professionally, • Is reasonably available during normal U.S. business hours Qualifications • Professional experience designing plumbing systems for buildings, • Professional experience with fire-protection and sprinkler-system design, • Strong AutoCAD skills, • Experience producing permit and construction-document drawing sets, • Knowledge of domestic water, sanitary, vent, storm, natural gas, and domestic water-heating systems, • Experience performing plumbing sizing and demand calculations, • Working knowledge of sprinkler-system design, hazard classifications, densities, sprinkler coverage requirements, piping arrangements, and hydraulic principles, • Familiarity with standpipe systems and fire-service requirements where applicable, • Ability to distinguish between engineer-of-record design requirements and delegated sprinkler-contractor design responsibilities, • Ability to read and coordinate architectural and other engineering drawings, • Strong written and verbal English communication, • Ability to work independently and remotely, • U.S.-based, • Experience with commercial, multifamily residential, healthcare, retail, office, renovation, and/or new-construction projects is preferred, • Working knowledge of the IBC, IPC, applicable fuel-gas codes, NFPA 13, NFPA 13R, NFPA 14, and the NYC Building and Plumbing Codes is required. Candidates must understand the major code sections, know how they affect their design, when they apply, and know how to efficiently locate and interpret applicable code requirements when asked., • Familiarity with NYC fire-protection requirements and FDNY-related requirements is strongly preferred, • PE licensure is not required for this position Site Survey / Local Travel Requirement This is a remote freelance position, but candidates must be located within reasonable driving distance of AEP's primary New York/New Jersey project area and must be willing and able to travel to project sites as needed. Responsibilities may include: • Conducting existing-condition and due-diligence site surveys, • Documenting existing plumbing fixtures, piping, water services, sanitary and storm systems, gas services, sprinkler systems, standpipes, fire services, and related building conditions, • Taking field measurements, photographs, pipe-size information, equipment information, and utility information, • Identifying visible conflicts, deficiencies, and conditions that may affect the proposed design, • Organizing field notes and survey information for use in design, • Communicating significant field findings promptly to AEP Candidates must have: • Reliable transportation, • A valid driver's license, • Ability and willingness to travel to project sites in New Jersey, New York City, and surrounding areas, • Confidence working independently in occupied and unoccupied buildings, • Ability to conduct thorough, organized field surveys without requiring constant direction Software and Equipment Requirements As an independent contractor, you must provide and maintain your own: • Computer and related hardware, • Reliable high-speed internet connection, • AutoCAD software suitable for performing the required work, • Microsoft 365 software, including Word, Excel, Outlook/email, and other standard office applications, • Professional email and reliable phone/online communication capability, • Any other general software and equipment normally required to perform your freelance design work AEP does not provide computer hardware, Microsoft 365 licenses, AutoCAD licenses, or general office equipment for this independent-contractor position. Contractor Relationship This is a remote 1099 freelance independent-contractor relationship. Project workload will vary, and no minimum number of hours or projects is guaranteed. Our objective is to develop long-term relationships with strong freelance professionals who can become regular contributors to AEP projects as our workload continues to grow. Work will be assigned on a project or task basis, with scope, schedule, and compensation established for each assignment. To Apply Please submit your resume and briefly answer the following: • How many years of plumbing design experience do you have?, • How many years of fire-protection/sprinkler design experience do you have?, • Do you currently work as a freelancer or independent contractor?, • What types of building projects do you have the most experience designing?, • Are you able to independently develop plumbing designs from architectural backgrounds and project criteria?, • Are you able to independently develop sprinkler layouts and fire-protection design criteria?, • Do you perform sprinkler hydraulic calculations yourself?, • How familiar are you with NFPA 13, NFPA 13R, NFPA 14, and NYC plumbing/fire-protection requirements?, • What version of AutoCAD do you currently use?, • Approximately how much availability do you typically have each week?, • What hours are you generally available during the U.S. workday?, • Are you located in the United States?, • What is your typical hourly rate or preferred project-based compensation?\nCompany Description AEP Engineering, LLC is an MEP engineering consulting firm providing Mechanical, Electrical, Plumbing, Fire Protection, and Fire Alarm design services for commercial and residential building projects throughout the New York/New Jersey metropolitan area. AEP Engineering, LLC is an MEP engineering consulting firm providing Mechanical, Electrical, Plumbing, Fire Protection, and Fire Alarm design services for commercial and residential building projects throughout the New York/New Jersey metropolitan area.

Our client is a globally known food manufacturer with multiple locations in the US. Due to growth, seeking a Plant Engineer to join the Engineering/Maintenance staff at the plant in NJ. Primary responsibilities include: • Implement and optimize automation and controls systems supporting high-speed packaging operations, improving reliability, efficiency, and production performance., • Program, troubleshoot, and maintain Allen-Bradley PLCs, FactoryTalk HMI/SCADA, and related industrial automation technologies., • Lead engineering projects from planning through implementation, coordinating budgets, vendors, contractors, and cross-functional teams to meet objectives., • Support maintenance by diagnosing electrical, mechanical, and controls issues while driving preventive maintenance and root cause corrective actions., • Ensure compliance with food safety, OSHA, and quality standards while leveraging SQL and automation data to improve operational performance. Position reports to VP of Operations. Ideal candidates for Plant Engineer will possess the following • Bachelors degree in Engineering, • LEAN Six Sigma certified a plus (LSSGB, LSSBB, etc.), • Experience with PLC's, SCADA and automation, • 6+ years experience in a food production or high-volume processing plant, • Understanding of OSHA standards and GMP Salary up to $120,000/yr. Benefits include medical, dental, vision, 401k, FSA, etc. Equal Opportunity Employer/Veterans/Disabled . To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to _ The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers *San Francisco Fair Chance Ordinance