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Location: New York, NY, Springfield, MA or Boston, MA The Opportunity The Team The Valuation Modeling Team helps to protect the long-term interests of policyholders by ensuring MassMutual is positioned to meet its future obligations. Responsible for over $100 billion in direct statutory reserves, the team performs statutory, GAAP/LDTI and tax valuation on Par Whole Life, Term, UL and VUL products. Our work affects regulatory compliance, strategic decision-making and inforce management. For those interested in modeling, interpreting, and communicating financial results in a collaborative team environment, this is an exciting role. The Impact: • Apply deep modeling expertise to all phases of input, processing, and output of valuation projections in Axis, • Utilize modeling acumen to execute complex projects such as Cash Flow Testing, new product implementations, assumption change, and structural model updates, • Deliver and explain Stat, Tax and GAAP financial results., • Develop and improve existing control and versioning methodology in valuation models, • Improve efficiency by leveraging communication skills with internal and external technology partners, • Apply knowledge of life insurance products and regulations to navigate complexity, ambiguity, and limitations in valuation software, • Work directly with various audit stakeholders to demonstrate compliance with regulatory and model governance standards, • Demonstrate agility in responding to stakeholder questions and unexpected results, often at times of peak activity and tight deadlines The Minimum Qualifications • Bachelor's degree in actuarial science, mathematics, statistics, data science, computer science, engineering, or a related quantitative or technical field., • ASA designation, • 4+ years of actuarial experience within insurance, financial services, or a related quantitative field., • 1+ years of experience with Axis The Ideal Qualifications • FSA designation, • 4+ years of experience with Axis, including model leadership or stewardship roles, • Demonstrated accountability and ownership of long-term independent projects, • Proficient with Axis features such as DataLink, investment cells, scenario files, and embedded block processing, • Understanding of modeling infrastructure such as ELink, GridLink, and output databases, • Expertise with identifying multiple solutions to a problem, and developing collaborative solutions to software limitations, • Ability to estimate resource requirements and set expectations with key stakeholders for highly visible projects, • Experience with Principle-Based Reserves, valuation regulations, product design, modeling assumptions, and inforce policy data, • Proficient with model-supported software such as MS Excel and SQL., • Strong math, analytical and collaboration skills, • Strong communication skills, both written and verbal, • Continuous improvement mindset, • Ability to build and maintain strong working relationships across cross-functional groups What to Expect as Part of MassMutual and the Team • Regular meetings with the Life Valuation Team, • Focused one-on-one meetings with your manager, • Access to mentorship opportunities, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefitsMassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

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

Job Description Stefanini Group is looking for a Program Manager - ITSM for a globally recognized company! For interested applicants, click the apply button or you may reach out to Micah Andres at (248) 386-7399/Micah.Andres@Stefanini.com for faster processing. Thank you! Requirement We are seeking a seasoned ITSM TAN Program Manager to lead program execution for the global rollout of the GITSM platform (ServiceNow) and to operationalize the ITSM TAN (CoE). This role will also support the operationalization of the Cloud CoE, helping drive adoption, standards, and governance defined by the Cloud CoE team. The role will have an approximate work split of 70% ITSM TAN / GITSM rollout and 30% Cloud CoE enablement, and will report directly to the Global ITSM Lead. Why This Role Exists: To ensure disciplined, end‑to‑end program execution of the global ServiceNow rollout across regions To stand up and operationalize the ITSM TAN (CoE), enabling governance, standards, reporting, and adoption To provide strong cross‑tower coordination across process, platform, SMO, and regional stakeholders To support Cloud CoE operational maturity, ensuring standards and governance are executed consistently KEY RESPONSIBILITIES GITSM Platform Rollout Program & Delivery Leadership: • Own end‑to‑end program management for the global ServiceNow (GITSM) rollout across phases (Design → Build → Deploy → Stabilize), • Drive timeline management, dependency tracking, milestone delivery, and issue resolution across regions, • Maintain program‑level artifacts including RAID logs, integrated plans, dashboards, and executive reporting ITSM TAN (CoE) Operationalization: Lead the setup and operationalization of the ITSM TAN (CoE), aligned to the approved charter and roadmap • Support definition and execution of:, • Governance structure & cadence, • Operating model and RACI, • Decision frameworks and intake processes Coordinate across Process Governance, Platform Governance, and Service Management Office (SMO) towers Stakeholder & Vendor Management: • Act as a single coordination point between Global ITSM leadership, regional ITSM leads, GCC teams, and implementation partners, • Support vendor governance, delivery tracking, and contractual milestone oversight during rollout phases, • Prepare and deliver executive‑level updates for Global IT leadership and steering forums Adoption, Readiness & Change Enablement: • Drive rollout readiness, regional onboarding, and adoption planning, • Coordinate training, communications, and transition activities in partnership with ITSM SMEs and change teams, • Ensure consistent process and platform adoption aligned with TAN standards REQUIRED SKILLS & EXPERIENCEExperience Requirements:10+ years of experience as a Project / Program Manager in enterprise IT environments including experience in leading projects via Agile frameworkProven ability to lead Agile programs, including sprint planning, backlog prioritization, release planning, dependency management, and continuous delivery.Demonstrated experience working with cross-functional Agile teams, Product Owners, Scrum Masters, technical teams, and business stakeholders to drive delivery outcomes.Strong understanding of Agile principles and practices, with experience applying Agile at scale across complex, multi-team or global initiatives.Experience driving Agile ways of working, including iterative delivery, continuous improvement, transparency, and effective management of risks, impediments, and dependencies.Experience working with system integrators / implementation partnersITSM & Platform KnowledgeStrong understanding of ITIL‑based ITSM processes (Incident, Change, Problem, Request, CMDB, Service Catalog, Knowledge) is preferredFamiliarity with ServiceNow modules such as ITSM, CMDB, ITOM, Service Catalog, Integrations, and Reporting is preferredExposure to ITSM CoE / TAN / governance models is a strong plusProgram & Leadership Skills Expert‑level capability in:Program planning & executionRisk & issue managementDependency managementExecutive and stakeholder communicationAbility to work effectively across global, distributed teamsStrong documentation and reporting discipline Soft SkillsExcellent communication, facilitation, and influencing skillsAbility to operate in a high‑ambiguity, transformation environmentStrong ownership mindset; comfortable driving outcomes without formal authority PREFERRED QUALIFICATIONSExperience in pharma, life sciences, or other regulated industriesExposure to Cloud CoE, Cloud Governance, or Cloud Transformation programsFamiliarity with Agile / hybrid delivery modelsITIL certification (Foundation or above) - preferred EDUCATION & CERTIFICATIONSEducationBachelor's degree in Engineering, Computer Science, or related fieldMaster's degree - preferred Certifications (Preferred)ITILPMP / PRINCE2 / equivalent Program Management certificationServiceNow exposure or implementation credentials (desirable) #LI-MA!#LI-HYBRID

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n We're hiring a Product Analytics Engineer for CrowdStrike's Product Insights team. Our team designs, builds, and maintains the analytics data systems that power the award-winning Falcon Console. This work is foundational; it enables fast, accurate, data-driven decision-making that keeps customers raving about our products. \n \n As a Product Analytics Engineer, you'll build data systems that deliver actionable insights on how users interact with our products and services. You'll capture, transform, and integrate data from multiple sources into a unified analytics platform, all while working with a team that's innovating to protect customers from increasingly complex threat actors. This role requires navigating ambiguity and undefined problem spaces, working across multiple product groups and disciplines to drive impact. \n \n We build teams of technically strong people who make each other better. That means bringing sharp skills while staying curious and humble, and genuinely caring about the growth and success of those around you. If you love exchanging ideas and are as invested in your teammates' wins as your own, this is the place for you. \n Who You Are:\n We want someone with technical skills and the right mindset: \n\n • \n A self-starter who wants to grow and learn \n • \n You make choices based on data and good judgment \n • \n You lead by helping others and sharing knowledge \n • \n You work well with others and get people aligned \n • \n You adapt when priorities change \n • \n You do the right thing for colleagues and users \n • \n You use AI tools to work faster \nWhat You'll Do:\n\n • \n Design and build our data systems and analytics tools \n • \n Deliver accurate insights that drive business choices and product decisions \n • \n Balance several projects at once and tell stakeholders about trade-offs \n • \n Build data pipelines that process large amounts of data \n • \n Use AI tools daily and share how you use them with the team \n • \n Ask smart questions and shape outcomes, not just do tasks \n • \n Own your work and make sure it succeeds \nWhat You'll Need:\n Required: \n\n • \n Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equal work experience) \n • \n Strong programming skills in at least one modern language (Python, Go, or similar) \n • \n Deep SQL expertise and hands-on experience with modern data platforms (RDBMS, NoSQL, or Graph databases) \n • \n You can design systems for moving and changing data at scale using tools like Kubernetes and Docker \n • \n Experience with cloud infrastructure (AWS, GCP, OCI, or Azure) \n • \n Strong data visualization and storytelling skills; you can construct concise, coherent narratives supported by appropriate visualizations using BI tools such as Tableau, Looker, Power BI, or similar platforms \n • \n A thorough understanding of engineering best practices - from testing paradigms to peer code reviews and resilient architecture design \n • \n Excellent communication skills: you can translate complex technical concepts to cross-functional audiences \n • \n Experience in a SaaS environment \n • \n Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. \n\n \n Bonus Points: \n\n • \n Experience using predictive analytics, machine learning, and/or AI to solve business problems \n • \n Experience designing and executing enterprise-scale semantic layers to standardize business meaning and enable trusted analytics and AI use cases \n • \n Thought leadership analytics and data engineering \n • \n Experience with Snowflake, Amplitude, Tableau, or other modern analytics platforms \n • \n Thrives in fast, team-based, and iterative programming environments \n • \n Track record of high-quality work on time \nWhy This Role Matters:\n \n You'll be working on systems that directly impact how CrowdStrike protects millions of users worldwide. The data architecture you build will inform critical product decisions, surface threats faster, and ultimately help our customers stay ahead of adversaries. You'll have the autonomy to shape our analytics stack and the support of a team that values your growth as much as your output. \n \n #LI-AP1 \n \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n In CrowdStrike’s Asset Platform team we work on large scale distributed systems, processing over 3 trillion events a day - and this traffic is growing daily. This position is for a role in one of CrowdStrike’s Core Asset Platform teams. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to developing and shaping our cybersecurity platform. \n \n Interested in working for a company that sets the standard and leads with integrity? \n Join us on a mission that matters - one team, one fight. \n \n This role is hybrid, on-site at one of the posted locations. The candidate should be comfortable visiting the office twice a week once the development center is established. \n \n What You’ll Do: \n\n • \n Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products. \n • \n Leverage and build cloud-based systems in a micro-service driven environment. \n • \n Brainstorm, define, and build collaboratively with members across multiple teams. \n • \n Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team. \n • \n Be mentored and mentor other developers on web, backend and data storage technologies and our system. \n • \n Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability. \n • \n Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables. \n • \n Use and give back to the open-source community. \n\n \n What You'll Use: \n\n • \n Go (Golang) \n • \n OpenSearch / ElasticSearch \n • \n Redis / Valkey \n • \n Kafka \n • \n Kubernetes \n • \n GIT \n • \n AWS / GCP \n\n \n What You'll Need: \n\n • \n Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems). \n • \n The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you. \n • \n The desire to ship code and the love of seeing your work run in production. \n • \n Deep understanding of distributed systems and scalability challenges. \n • \n Deep understanding of multi-threading, concurrency, and parallel processing technologies. \n • \n Team player skills – we embrace collaborating as a team as much as possible. \n • \n A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture. \n • \n The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment. \n • \n The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. \n • \n Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. \n\n \n Bonus Points: \n\n • \n Authored and led successful open-source libraries and projects. \n • \n Contributions to the open-source community (GitHub, Stack Overflow, blogging). \n • \n Existing exposure to Go, AWS, Cassandra, Kafka, OpenSearch. \n • \n Prior experience in the cybersecurity or intelligence fields. \n\n \n #LI-JC1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Team: \n The CrowdStrike Detection Engineer (CDE) team is building a powerful, next-generation platform designed to be a force multiplier for security teams. Our platform empowers customers who leverage multiple Falcon products to create and manage advanced, unified detections and content. This core platform capability is a strategic imperative for CrowdStrike, aiming to provide a competitive advantage that is difficult to replicate, ensuring our customers have unparalleled detection and response capabilities across the entire Falcon ecosystem. About the Role: \n We are seeking a highly experienced and motivated backend engineers to join the CDE Platform team. In this role, you will be instrumental in designing, building, and scaling the foundational services that orchestrate data, content, and execution logic across CrowdStrike’s products (e.g., NGSIEM, FCS, Endpoint). You will be a key driver in creating a highly performant, scalable, and resilient platform that processes internet-scale data streams and enables real-time detection generation. \n \n This role is hybrid, requiring 2-3 days per week on-site at the posted location. \n \n What You'll Do: \n\n • Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products\n, • Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale\n, • Brainstorm, define and build collaboratively with members across multiple teams\n, • Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team\n, • Be mentored and mentor other developers on web, backend, and data storage technologies and our system\n, • Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability\n, • Be given the autonomy to own your work in a high trust environment\n\n \n The technology stack you’ll use will include: \n\n • Go (Golang) or C++\n, • AWS/GCP/Azure/Kubernetes\n, • Kafka\n, • GIT\n, • Cassandra\n, • Docker\n, • Redis\n\n \n What You'll Need: \n\n • Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)\n, • Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc\n, • Being a team player\n, • A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.\n, • The ability to thrive in a fast-paced, test-driven, collaborative and iterative programming environment.\n, • The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.\n, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n\n \n Bonus Points: \n\n • Contributions to the open-source community (GitHub, Stack Overflow, blogging)\n, • Existing exposure to Go or C++, Scala, AWS, Cassandra, Kafka, Elasticsearch...\n, • Prior experience in the cybersecurity or intelligence field\n, • Experience in thinking about, designing, or implementing programming languages and/or compilers\n, • Interesting hobbies\n\n \n #LI-SS1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n As part of CrowdStrike's Risk Analytics team, you'll be at the forefront of cybersecurity innovation, elevating our industry-leading "stopping breaches" mission to unprecedented levels of sophistication and visibility. You'll architect and build the foundational risk intelligence platform that powers next-generation security insights. Leveraging advanced algorithms and AI, you’ll deliver comprehensive visibility into risk compounding, attack path analysis, and posture scoring across the entire attack surface. \n \n This is a hybrid role requiring 2-3 days/week in our Midtown, Manhattan Office. \n \n Technical Excellence & Innovation: \n In this pivotal role, you'll harness cutting-edge technologies to engineer robust backend services that seamlessly analyze massive data streams, execute complex risk calculations, and deliver intelligent remediation automation. Working primarily with Golang microservices architecture and multiple database ecosystems, you'll build scalable solutions that protect organizations worldwide from evolving cyber threats. \n \n Leadership & Impact: \n As a technical leader, you'll drive end-to-end product delivery, architect scalable solutions, and collaborate with cross-functional stakeholders to define priorities and scope. Your expertise will directly influence the cybersecurity landscape, protecting organizations from sophisticated threats while advancing the state of the art in exposure management. \n \n What You'll Do: \n\n • Backend Architecture: Design and develop scalable backend services powering both internal and customer-facing web applications with focus on performance and reliability\n, • Developer Tools: Create intuitive command-line utilities and APIs that integrate seamlessly with our platform ecosystem\n, • Infrastructure Design: Architect supporting systems including databases, real-time data pipelines, and monitoring solutions\n, • Cross-team Collaboration: Partner with UX/UI, Sensors, and other teams to deliver integrated solutions with comprehensive documentation\n, • Operational Excellence: Configure advanced monitoring, alerting, and maintain high availability for production services\n, • Continuous Innovation: Drive architectural improvements, optimize performance, and enhance user experience through iterative refinement\n, • Technical Mentorship: Guide junior engineers and contribute to technical decision-making processes\n, • Service Reliability: Ensure robust, healthy service operations with proactive maintenance and incident response capabilities\n\n \n What You'll Need: \n\n • 8-10 years of production experience building, delivering, and maintaining large-scale distributed systems processing high-volume data\n, • Experience developing robust, distributed systems using frameworks like Apache Spark, Apache Flink, and Kafka to handle high-velocity streaming events and large-scale batch ETL workloads.\n, • Advanced programming expertise in object-oriented languages with strong typing (we primarily use Golang and Python—we'll help you master our stack!)\n, • Proven microservices experience with designing scalable REST APIs and distributed communication patterns\n, • Strong cloud infrastructure knowledge with major providers (AWS preferred, plus Azure and GCP) for provisioning, monitoring, and optimization\n, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n, • System troubleshooting expertise for complex distributed architectures with focus on performance and reliability\n, • Engineering best practices experience including testing strategies, code reviews, and resilient architecture design\n, • Collaborative technical skills with ability to mentor junior engineers and contribute to technical decisions\n, • Bachelor's degree in Computer Science/Engineering or equivalent professional experience\n, • Strong foundation in algorithms, data structures, and system design principles\n\n \n Bonus Points: \n\n • Expertise in tuning and managing batch processing (Spark) and/or streaming processing (Flink, Spark Streaming) at scale\n, • Graph database knowledge and experience with graph structures (nodes, edges, relationships)\n, • Cassandra and CQL experience with wide-column databases\n, • Cybersecurity industry experience or relevant certifications\n, • Docker and Kubernetes experience\n, • Open source contributions or technical community involvement\n\n \n #LI-JC1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n CrowdStrike is seeking an Engineering Manager to join our Proactive Security team within Cloud Security Group. This role will lead our Proactive Protection team, focusing on helping our customers to detect and prevent threats in cloud environments through advanced detection techniques and methodologies, before they can cause harm. \n \n You will collaborate closely with cross-functional teams, product management, and security researchers to drive detection capabilities while building a team and managing direct reports. \n \n We're seeking innovative problem-solvers who can take ownership of complex technical challenges across our platform. This is an opportunity to work at unprecedented scale with cutting-edge cloud technologies while making a direct impact on organizations worldwide protecting them from sophisticated threats. \n \n This role is hybrid, on-site at one of the posted locations. Candidates should be comfortable visiting the office twice a week once the development center is established. \n \n About the Cloud Proactive Security Team: \n\n • \n A global team of engineers that develops and maintains mechanisms to prevent cloud misconfigurations and security risks before deployment - The team builds intelligent prevention capabilities that identify and block insecure cloud configurations. \n • \n Develops and maintains proactive security controls that protect Kubernetes clusters, container registries, serverless functions, and cloud workloads from emerging threats in multiple cloud vendors as well as private data centers. \n • \n Creates developer-friendly tools and integrations that embed security prevention directly into CI/CD pipelines, GitOps workflows, and Kubernetes deployment processes. \n\n \n What You Will Do: \n\n • \n Manage a team of engineers building and optimizing the core pipeline that protects cloud workloads, containers, and Kubernetes clusters. \n • \n As an engineering manager, you will help drive and deliver on both roadmap and technical strategy, and you will be instrumental in hiring, retaining, and growing a team of highly talented engineers. \n • \n Help to architect enterprise grade solutions that scale seamlessly from thousands to millions of requests per second \n • \n Build and Lead a Global Team. Manage a distributed team of high-talented cloud specialized software engineers and technical leads, fostering a collaborative environment while coordinating across time zones to deliver high-quality products. \n • \n Cross-Functional Collaboration. Partner with product management and engineering teams to align cloud proactive capabilities with customer needs, directly influencing CrowdStrike's Proactive detection platform evolution and organizational strategy. \n • \n Ensure Quality and Accuracy. Own validation processes for proactive vulnerability detections, implementing automated workflows that maintain CrowdStrike's high standards for security solutions. \n • \n Must be able to work 3+ days per week on site from our New York office. \n\n \n What You’ll Need: \n\n • \n Must be a U.S. Citizen or US Permanent Resident. \n • \n BS/MS in Computer Science or related field, or equivalent work experience \n • \n 7+ years of experience in Software Engineering roles with at least 3+ years in management positions. \n • \n Security and/or Cloud Security experience is required \n • \n Understanding of cloud security concepts such as CSPM, CWPP, and CNAPP \n • \n Exposure to cloud security products, including product direction for AI/ML, XDR, SIEM, SOAR, or related cybersecurity domains. \n • \n Familiarity with container and Kubernetes security (build-time and runtime) \n • \n Solid design and problem-solving skills with a demonstrated passion for engineering excellence, quality, security, and performance \n • \n Broad grounding in all aspects of distributed systems development \n • \n Experience with Kafka, Cassandra, ElasticSearch technologies \n • \n Experience building systems at cloud scale and container orchestration technologies such as Kubernetes \n • \n Proficiency with at least one major cloud platform (AWS, Azure, or GCP) \n • \n Experience with modern programming languages such as Go, Python, Java, C++, Rust or similar languages \n • \n Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. \n • \n Exceptional communication skills, with the ability to convey complex technical concepts clearly to both executive and engineering audiences, in writing and verbally \n • \n Strong cross-functional collaboration skills, with a proven ability to partner effectively across engineering, product management, support, and sales engineering \n • \n Demonstrated success recruiting and hiring strong engineering talent \n • \n Proven track record of mentoring and developing engineers, helping them grow in their careers and technical skills \n\n \n Bonus Points: \n\n • \n Remote/distributed multi-team leadership experience \n • \n Experience with organizational scaling and process optimization \n\n \n #LI-JC1 This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.\n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n CrowdStrike's Data Platform is the foundation beneath Falcon and Next-Gen SIEM: the ingestion, streaming, storage, and query systems that take in almost 3 trillion events per day, at millions of events per second, and make them searchable in seconds. It spans multiple clouds and regions, including sovereign and regulated environments, and it holds petabytes of security telemetry that customers rely on in the middle of active investigations. \n \n We set a high bar for that platform. Reliability, cost efficiency, and provable compliance are engineering requirements here rather than afterthoughts, and we are raising that bar again as we move the organization toward domain ownership, data as a product, self-serve tooling, and federated governance. \n \n We support planetary scale and our systems are stateful and order-dependent, which puts them outside what generic cloud build automation is designed for. Validating a change means tracing real data from the sensor through ingestion to query rather than exercising a service in isolation. The largest cost levers are spread across every team that queries or stores data. Each new sovereign region has to prove residency and controls on its own evidence. Work like this is worth far more solved once, well, and for everyone than solved separately on six teams. \n \n We are forming a centralized Data Platform Enablement team to own that category of work, and we are hiring its founding engineering leader. \n \n You will start by hiring and forming a small, senior team, then grow it into a multi-team organization as the charter expands. The team works as a horizontal function outside individual product team scope, in three modes. It builds platform-wide automation, tooling, and test infrastructure. It partners hands-on with individual data platform teams. And it enables the rest of the organization through guardrails, best practices, and self-service tooling. Every hour your team spends on cross-cutting reliability, testing, and cost work is an hour another data platform team gets back for work in its own domain. \n \n The reach of this role is wider than its headcount. You will not own the product domains, but you will answer for reliability, cost, and compliance outcomes across all of them, which means most of your influence has to come from somewhere other than your reporting line. This one suits someone who would rather build a function than inherit one. \n \n This role is hybrid, linked to one of the posted locations: Austin, TX; Sunnyvale, CA; Redmond, WA; or NY, NY. \n \n What You'll Do: \n Organizational Leadership & Team Building \n\n • \n Stand up the team: define its operating model, hire net-new engineers, and bring in senior operators from existing data platform teams without leaving holes behind them. \n • \n Hire, develop, and lead engineering managers and technical leads as the team grows from one group into several domain-aligned ones. \n • \n Set the technical bar. Your team's output is tooling, harnesses, and guardrails that engineers outside your org have to actually want to adopt. \n • \n Own org design as the charter matures: forming, rechartering, and sequencing teams against where the platform's risk actually sits. \n\n \n Cloud Expansion Automation \n\n • \n Build the automation that makes stateful data platform systems first-class citizens in our cloud build tooling, including the ordering, state awareness, and dependency sequencing that generic SRE automation cannot handle. \n • \n Take regional and sovereign cloud build-outs to full automation, so standing up a new environment is a repeatable, hands-off sequence. \n • \n Own time-to-launch per cloud and region as a headline metric, alongside the teams that own the destination architecture. \n\n \n End-to-End Validation & Continuous Health Checks \n\n • \n Build a testing system that generates and traces data from the CrowdStrike sensor through ingestion to query validation. The same harness does pre-launch validation for every new cloud and region, then continuous health checks in steady state. \n • \n Raise the fidelity of generated test data so it exercises the same paths production traffic takes, and a passing run means what it claims. \n • \n Hold end-to-end (i..e sensor to query) coverage and escaped-defect rate as first-class metrics for every launch. \n\n \n Observability & Proactive Incident Response \n\n • \n Standardize reliability and efficiency metrics across every data platform team, so the whole platform reports from one instrumented view. \n • \n Build detection that catches problems before customers report them, with automated routing to the right responders plus first-line triage and guidance for owning teams. \n • \n Set and drive down targets for mean time to detect, respond, and recover, backed by instrumentation that proves the trend. \n • \n Push the incident rate between releases and operations down by addressing systemic causes. \n\n \n Cost Engineering \n\n • \n Run fast detection and remediation for cost anomalies, so an efficiency regression surfaces in days rather than quarters. \n • \n Find and execute optimization work across the ecosystem, either directly with partner teams or by handing them tooling. Some of it is straightforward compute migration. Some of it is pipeline and architecture rework. \n • \n Move cost accountability to the layers that own the levers, so that application teams see what their query patterns, storage choices, and pipeline hops actually cost. This is as much an organizational change as a technical one, and you will lead it. \n\n \n Resilience, Scale & Capacity Planning \n\n • \n Establish a recurring game day practice that stresses systems deliberately to establish their real limits. \n • \n Run scale and stress testing ahead of projected demand. \n • \n Work with data platform teams on forward-looking capacity planning, and hold forecast accuracy as a real metric. \n\n \n Data Residency & Compliance Automation \n\n • \n Turn residency verification and audit evidence into reusable platform capabilities that every new region inherits. GRC defines the controls and other teams own the sovereign architecture; your team automates the data platform's side of proving both. \n • \n Build automated validation that data lands, is processed, and is queried inside its declared residency boundary, wired into the same harness as the rest of the testing rather than a parallel one. \n • \n Express the data platform's share of sovereign and certification controls as executable checks that run continuously, and generate attestation evidence from telemetry so certification and re-certification draw on evidence that is always current. \n • \n Treat a control that has quietly stopped holding as an incident, detected and routed under the same targets as any reliability event. \n\n \n Executive Narrative & Cross-Functional Influence \n\n • \n Turn your team's delivery into a clear executive story on reliability, cost, and compliance posture, and carry it into senior forums with candor about risk. \n • \n Earn adoption from engineering leaders who do not report to you. A horizontal team runs on that trust. \n • \n Negotiate scope deliberately. This charter will attract more requests than any team can absorb, and protecting your team's focus is part of the job. \n\n \n What You'll Need: \n\n • \n 12+ years of software engineering experience, including 5+ years leading engineering teams and at least 2 years leading through other managers. \n • \n A track record of building, growing, and retaining high-performing platform, SRE, or infrastructure teams in a fast-paced, high-growth environment, including hiring senior engineers onto a team that did not exist yet. \n • \n Hands-on grounding in SRE practice at scale: SLOs, SLIs, error budgets, incident command, blameless postmortems, and capacity planning for high-throughput distributed systems. \n • \n Experience owning reliability for large-scale stateful distributed systems, where ordering, data state, and recovery semantics rule out generic automation. This is the hardest technical part of the job. \n • \n Working fluency with distributed data infrastructure: streaming platforms, OLAP and search engines, object storage, and large-scale query systems. Enough to hold a credible design conversation and to recognize a bad proposal. \n • \n Ownership of a substantial infrastructure cost portfolio, including driving optimization across organizational boundaries and shifting cost accountability to the teams that control the spend. \n • \n Proven ability to influence without authority. You have changed how engineering teams outside your reporting line operate, and you can explain how you earned that adoption instead of mandating it. \n • \n Experience operating under regulatory, residency, or certification constraints, and comfort turning control requirements into engineering work. \n • \n Strong executive communication. You can compress a complicated reliability or cost story into something a leadership team can decide on, and you do not let your team's work go unseen. \n • \n A specific point of view on applying AI to reliability and operations: where it pays off, where it does not, and what you would build first. \n • \n Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. \n • \n Bachelor's degree in Computer Science or related field, or equivalent work experience. \n\n \n Bonus Points: \n\n • \n Experience standing up sovereign, air-gapped, or regulated cloud environments, and automating the evidence that proves they comply. \n • \n Hands-on depth with Kafka, Flink, Spark, Cassandra, OpenSearch, Pinot, Trino, or comparable systems at petabyte scale. \n • \n Python and/or Golang, Infrastructure as Code (Terraform, Ansible, Pulumi), Kubernetes at fleet scale, and GitOps workflows. \n • \n Advanced observability practice with Prometheus, Grafana, OpenTelemetry, distributed tracing, and large-scale log aggregation, weighted toward SLO dashboards and reliability scorecards rather than vanity metrics. \n • \n Having built and run a chaos engineering or game day practice that other teams joined voluntarily. \n • \n FinOp, or having led a cost optimization and/or re-attribution program to completion. \n • \n Having shipped LLM-native or agentic tooling for incident prevention, triage, or remediation. \n\n \n #LI-MP2 This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.\n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assis

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n CrowdStrike Falcon is the industry standard in cloud‑native cybersecurity and threat hunting, processing trillions of events per day. As a Principal SRE, you will operate at the intersection of our Core Platform and Embedded Reliability charters: building the foundational libraries, services, and tooling that every product group depends on, while embedding directly with product engineering teams and their leadership to drive reliability outcomes at scale. \n \n While we embrace the SRE moniker, at CrowdStrike it means something far more service‑oriented and engineering‑heavy than traditional operations. This is hands‑on systems engineering — writing production code, re‑architecting critical systems, and eliminating entire classes of failure — not ticket management. It is far and away our most self‑driven and autonomous backend engineering role, with the freedom to move up, down, and laterally across the stack as needed. \n \n You'll join a group with bottom‑up visibility and ownership of a fast‑expanding codebase (including AI‑based Detection & Response) and a far‑reaching mandate for service resiliency. Several key feature additions and critical re‑architecture initiatives are underway: deploying core services to additional cloud providers, modularizing into reusable components, improving core libraries and frameworks, maturing observability tooling (tracing, profiling, alerting, SLOs), and automating away manual toil across all of the above. Recent examples of the team's work include introducing adaptive concurrency into our core Kafka library to implement flow control that protects database performance, resolving critical issues in leader election libraries, and building infrastructure‑as‑code tooling that eliminated manual deployment processes. \n \n At the Senior Engineer level, your influence is organizational. Product engineers and engineering leaders will come to you for guidance on architectural decisions because you've earned credibility through hands‑on work and delivered results. You will shape architectural choices that affect every feature development team and provide shared architectural components leveraged throughout the Falcon Platform — including Unified Search, Protobuf libraries, and other shared‑tier infrastructure. \n \n Why This Role Matters: Our customers depend on us to protect their businesses from sophisticated threats, and reliability isn't optional — it's fundamental to our mission. Your work directly impacts whether organizations around the world can defend themselves against cyberattacks. You'll work on problems that matter, at a scale few companies can match, with the autonomy to make real architectural decisions. \n \n Location: This position requires candidates to be based in Midtown Manhattan, NY; Redmond, WA; Sunnyvale, CA; or Austin, TX. It's a hybrid role, with employees typically working 2 to 3 days per week in the office. \n \n What You'll Do: \n\n • \n Partner with engineering leadership across multiple product groups to define and drive multi‑year reliability roadmaps. \n • \n Design and implement architectural improvements to services, libraries, and platforms that impact teams across all of CrowdStrike. \n • \n Develop and maintain services that meet aggressive reliability and scalability demands. \n • \n Extend and build new libraries for cross‑cutting concerns spanning CrowdStrike's cloud platform, which comprises hundreds of libraries and services. \n • \n Lead initiatives around reliability, scalability, performance, and cost efficiency in large‑scale distributed systems. \n • \n Establish foundational observability practices: ensure teams instrument services properly, react to signals effectively, and leverage observability to drive automation such as continuous delivery. \n • \n Define and implement service‑level objectives and error budgets that drive real decision‑making and prioritization. \n • \n Lead performance and cost optimization efforts: profiling, bottleneck analysis, capacity planning, and cloud efficiency improvements. \n • \n Conduct resilience engineering: chaos experiments, failure injection, failure modeling, and designing for graceful degradation. \n • \n Design and implement automation and infrastructure‑as‑code to improve infrastructure reliability and eliminate manual toil. \n • \n Provide technical leadership during complex incidents and ensure follow‑through on retrospectives with concrete improvements that eliminate entire classes of failures. \n • \n Identify opportunities to extract common patterns into shared libraries and tools, or partner with platform teams on improvements benefiting multiple product groups. \n • \n Continuously re‑evaluate our products to improve architecture, knowledge models, developer and user experience, performance, and stability. \n • \n Drive strategic technical decisions and influence infrastructure and operational improvements across the organization. \n • \n Mentor and coach engineers, raising the technical IQ of the team and driving architectural standards across the org. \n • \n Use and give back to the open source community; evangelize software engineering best practices, especially as they pertain to Go. \n • \n Brainstorm, define, and build collaboratively with members across multiple teams as an energetic self‑starter who owns and is accountable for deliverables. \n\n \n What You'll Need: \n\n • \n 10+ years of experience building and operating distributed systems and service‑oriented backends at scale. \n • \n 5+ years developing microservices for a SaaS product in a modern backend language (Go, Java, Scala, Kotlin, Python, Node.js). \n • \n Expert‑level proficiency in at least one programming language, with expert‑level Go or demonstrated ability and willingness to reach expert level in Go. \n • \n Deep understanding of distributed systems: consensus algorithms, replication, consistency models, failure modes, and scalability patterns. \n • \n Proven experience scaling backend systems — sharding, partitioning, horizontal scaling, capacity planning, and performance optimization are second nature. \n • \n Deep understanding of multi‑threading, concurrency, and parallel processing. \n • \n Track record of making impactful architectural decisions at organizational scope and seeing them through to production. \n • \n Strong systems thinking and the ability to influence without direct authority across organizational boundaries. \n • \n Thorough command of engineering best practices: appropriate testing paradigms, effective peer code review, and resilient architecture. \n • \n Ability to thrive in a fast‑paced, test‑driven, collaborative, and iterative environment; strong team‑player orientation. \n • \n A desire to ship code and a love of seeing your bits run in production. \n • \n Degree in Computer Science, or commensurate experience in data structures, algorithms, and distributed systems. \n • \n Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. \n\n \n Bonus Points: \n\n • \n Experience driving reliability improvements in organizations with hundreds or thousands of microservices. \n • \n Deep knowledge of Kubernetes or other large‑scale orchestration systems. \n • \n Hands‑on experience with AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, or similar large‑scale distributed technologies. \n • \n Experience with Google Cloud Platform (GCP). \n • \n Experience with Oracle Cloud Infrastructure (OCI). \n • \n Experience delivering or operating services across multiple cloud providers, including multi‑cloud abstraction layers, portability, and cloud‑agnostic tooling. \n • \n Track record of building internal platforms, developer platforms, or tools that other engineers depend on. \n • \n Experience with infrastructure cost optimization at scale. \n • \n Background in performance engineering: profiling, optimization, and identifying system bottlenecks. \n • \n Experience with chaos engineering or resilience testing practices. \n • \n History of establishing SLO/SLI frameworks and error budgets in production environments. \n • \n Contributions to the open source community (GitHub, Stack Overflow, technical blogging). \n • \n Prior experience in the cybersecurity or intelligence fields. \n\n \n #LI-SC1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n The CrowdStrike Cloud Detection Engine (CDE) team is building a powerful, next-generation platform designed to be a force multiplier for security teams. Our platform empowers customers who leverage multiple Falcon products to create and manage advanced, unified detections and content. This core platform capability is a strategic imperative for CrowdStrike, aiming to provide a competitive advantage that is difficult to replicate, ensuring our customers have unparalleled detection and response capabilities across the entire Falcon ecosystem. \n \n We build the real-time data systems behind CrowdStrike's detection pipeline. Our team owns the streaming engine that processes all first-party sensor telemetry and maintains a petabyte-scale graph of real-time system activity, and the distributed correlation engine that evaluates trillions of events a day to catch multi-stage attacks that no single event can surface. Both systems are at the core of how CrowdStrike finds adversaries. \n \n We're looking for someone who is excited about working in systems programming: custom query languages, graph databases, state machines, performance work where microseconds matter. We ship fast, we build with modern tooling including AI in our dev workflow, and own everything end to end from design to production \n \n This role is hybrid, requiring 2-3 days per week on-site at the posted location. \n About the Role: \n We are seeking a Senior Engineer II to join the CDE Platform team. In this role, you will be instrumental in designing, building, and scaling the foundational services that orchestrate data, content, and execution logic across CrowdStrike’s products (e.g., NGSIEM, FCS, Endpoint). You will be a key driver in creating a highly performant, scalable, and resilient platform that processes internet-scale data streams and enables real-time detection generation. \n \n What You'll Do: \n\n • Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products\n, • Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale\n, • Brainstorm, define and build collaboratively with members across multiple teams\n, • Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team\n, • Be mentored and mentor other developers on web, backend, and data storage technologies and our system\n, • Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability\n, • Be given the autonomy to own your work in a high trust environment\n\n \n The technology stack you’ll use will include: \n\n • Go (Golang) or C++\n, • AWS/GCP/Azure/Kubernetes\n, • Kafka\n, • GIT\n, • Cassandra\n, • Docker\n, • Redis\n\n \n What You'll Need: \n\n • Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)\n, • Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc\n, • Being a team player\n, • A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.\n, • The ability to thrive in a fast-paced, test-driven, collaborative and iterative programming environment.\n, • The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.\n, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n\n \n Bonus Points: \n\n • Contributions to the open-source community (GitHub, Stack Overflow, blogging)\n, • Existing exposure to Go or C++, Scala, AWS, Cassandra, Kafka, Elasticsearch...\n, • Prior experience in the cybersecurity or intelligence field\n, • Experience in thinking about, designing, or implementing programming languages and/or compilers\n, • Interesting hobbies\n\n \n \n #LI-SS1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

Firm Overview \n PRP Advisors is a subsidiary of Balbec Capital (“Balbec”). Balbec is an SEC-registered alternative investment manager with offices in the United States and Europe. Since its founding in 2010, Balbec has deployed over $35 billion globally through its funds and investment vehicles, seeking to deliver consistent, risk-adjusted returns to investors and long-term partners across asset-based credit strategies. \n \n Balbec is a direct investor in residential and commercial mortgage loans at all stages of performance, mortgage servicing rights, and select consumer and alternative credit assets. Leveraging its proprietary technology and transaction management platform, Balbec efficiently executes highly granular transactions, enabling the firm to serve a broader range of counterparties and generate returns for investors by applying institutional execution standards to inefficient, underserved or fragmented markets. \n \n Balbec’s funds rank among the largest issuers of U.S. residential mortgage-backed securities (RMBS) through its PRPM shelf. The firm’s investments in agency mortgage servicing rights are sourced via its affiliate, Bungalow Funding. \n \n Balbec has invested in over 20 countries, selectively deploying capital into geographically and asset-diverse opportunities that exhibit attractive risk/reward profiles, upside potential, and substantial downside protection. \n \n Job Description & Key Responsibilities \n The Analyst, Loan Acquisition Technology will be part of the Engineering Team in New York City and will help take the firm’s mortgage technology platform to the next level. The candidate will work with other full stack developers and quantitative researchers on vital internal infrastructure in a scalable, efficient, and easily maintainable manner. A successful candidate is expected to be a self-driven problem solver who can quickly grasp the core of a problem / think outside of the box to come up with permanent solutions / quickly research and learn suitable technology. \n \n Responsibilities include: \n\n • Maintaining and improving US mortgage data integrity and quality\n, • Designing and building end-to-end functionality to support the acquisition of loans , from backend infrastructure to frontend features and UX\n, • Delivering recurring analytical and operational outputs including high computation monthly reports\n, • Training users on newly built features of Proprietary Operating Platform\n\n \n Qualifications & Experience \n Required: \n\n • 0-2 years of experience\n, • B.S. and/or M.S. in Quantitative Fields (Computer Science, Information Systems, Mathematics, or Engineering)\n, • Advanced experience with Python (Experience with production level coding a plus)\n, • Strong understanding of data structures and process engineering\n, • Experience working with Dataframes and strong understanding of data manipulation (i.e Aggregation / Merge)\n, • Attention to detail\n\n \n Preferred: \n\n • Full stack development experience\n, • Mortgage industry experience\n, • Experience working with Databases – Database design and setup experience is a plus\n, • Proficiency with Excel\n\n \n Equal Employment Opportunity \n Balbec Capital LP is committed to ensuring equal employment opportunities for all employees, including qualified employment applicants. The firm strives to maintain an environment free of discrimination based on race, color, religion, gender, national origin, ancestry, age, disability, genetic information, military or veteran status, marital status, sexual orientation, gender identity, citizenship, or any other protected category or characteristics as defined by federal, state or local laws. This equal employment opportunity policy applies to all employment practices, including but not limited to recruiting, hiring, advertising, promotion, transfer, reductions in force, social and recreational programs, training, employee development, compensation and fringe benefits, discipline and termination. \n \n Disclaimer for External and 3rd Party Recruiters: \n Please note that Balbec Capital does not accept unsolicited resumes from external or third-party recruiters. All recruitment-related inquiries and submissions must be directed exclusively to our HR department at careers@balbec.com. We kindly request that recruiters refrain from contacting any other employees within the organization regarding job opportunities. Any unsolicited resumes sent to our employees or submitted outside of the designated HR contact will become the property of Balbec Capital without any obligation to pay referral fees. Thank you for your cooperation. \n

Role: Lead DataOps Engineer \n Location: Hybrid – Short Hills, NJ strongly preferred; Charlotte, NC considered \n Duration: 6-month contract-to-hire \n Interview Process: 2–3 interviews, likely video; final interview may be onsite \n Background Check: Required \n Employment Type: W2 Only \n Work Authorization: Candidates must be authorized to work in the U.S. without sponsorship. \n \n Required Qualifications \n\n • 8+ years of experience in data engineering, analytics engineering, or platform engineering.\n, • A hands-on data engineering lead with 8+ years of experience, strong Databricks/lakehouse, PySpark, SQL, and cloud skills—ideally Azure—who has led engineers and owned complex technical delivery.\n, • Hands on P&C (Property & Casualty) Insurance experience is mandatory.\n, • Demonstrated experience leading engineers and taking ownership of complex deliverables.\n, • Strong communication and stakeholder collaboration skills.\n, • Strong experience with Azure, AWS, or GCP.\n, • Experience with Databricks or modern lakehouse architecture.\n, • Strong PySpark, SQL, data modeling, and modern data architecture skills.\n, • Experience building and orchestrating data pipelines using tools such as Azure Data Factory, Airflow, Dagster, or dbt.\n, • Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or GitLab.\n, • Experience implementing DataOps or other automation frameworks.\n\n Preferred Qualifications \n\n • Azure ecosystem experience.\n, • Experience supporting AI or machine learning workloads in production.\n, • Familiarity with Event Hubs, Kafka, or Kinesis.\n, • Property and casualty insurance experience.\n, • SAFe or similar Agile delivery experience.\n, • Degree in Computer Science, Management Information Systems, or a related field.\n\n

Job Title: Health-Tech Software Fellow – (Gap Year / Pre-Med) Location: New York, NY (On-site) Employment Type: Full-time, Hourly (40 hrs/week, non-exempt) Compensation: $20.00/hour (with overtime for hours exceeding 40/week) About Sigmund Healthcare Sigmund Healthcare is an intelligent clinical assistant platform designed by clinicians to streamline psychiatric care—from intake and longitudinal tracking to session documentation. Originating from the Sultan Lab for Mental Health Informatics at Columbia University Irving Medical Center, Sigmund collaborates with leading institutions including NewYork-Presbyterian, Harvard, Mount Sinai, and Weill Cornell. We bridge cutting-edge clinical machine learning with real-world psychiatric workflows across pediatric, adolescent, and adult care. Role Overview We are seeking a motivated, mission-driven recent college graduate to join our team on-site in New York City as a Junior Software Developer / Health-Tech Software Fellow. This role is specifically tailored for individuals passionate about the intersection of software engineering, mental health, and clinical medicine—making it an ideal 1–2 year launchpad for candidates planning to apply to medical school (MD/DO), graduate programs in biomedical informatics or computational neuroscience, or health-tech careers. In this role, you will gain hands-on experience building, testing, and scaling clinical services that directly support psychiatric clinicians and patients. Working alongside clinical researchers, faculty, and engineers, you will translate complex psychiatric workflows into robust software while receiving direct mentorship in clinical informatics, modern full-stack architectures, and health-tech compliance. Who Should Apply • Pre-Med & Gap-Year Candidates: Recent graduates seeking substantive, clinically integrated technical experience and faculty mentorship before entering medical school., • Interdisciplinary Thinkers: Individuals with backgrounds bridging Computer Science, Computational Neuroscience, Cognitive Science, Biomedical Engineering, or Informatics who want to apply software skills to mental healthcare., • Mission-Driven Problem Solvers: Candidates committed to improving psychiatric care delivery and workflows through thoughtfully engineered technology. Key Responsibilities • Develop and maintain backend services, RESTful APIs, and database schemas supporting clinical workflows., • Write clean, maintainable, and well-tested code using modern software design principles., • Collaborate directly with clinicians and researchers to prototype, test, and iterate on new platform features., • Assist in integrating third-party clinical APIs, data pipelines, and internal tooling., • Participate in code reviews, technical discussions, and system reliability/security optimizations (including HIPAA best practices). Qualifications • Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics (exposure to life sciences/mental health a strong bonus)., • Core Fundamentals: Solid foundation in data structures, algorithms, object-oriented programming (OOP), and database fundamentals., • Technical Skills: Familiarity with modern backend languages/frameworks (e.g., Python, Node.js, TypeScript), REST APIs, SQL/NoSQL databases, and Git version control., • Mindset: Eagerness to take ownership of features, learn rapidly under direct mentorship, and solve ambiguous technical problems., • Collaboration: Strong written and verbal communication skills; comfortable interfacing with both technical teammates and clinical partners., • Bonus: Prior exposure to healthcare data, HIPAA compliance concepts, full-stack development, or academic research projects. What We Offer • Direct Clinical Impact: Build software actively utilized in an outpatient psychiatric clinic., • Mentorship & Pedigree: Work alongside clinical informatics faculty, machine learning researchers, and experienced engineers at the intersection of medicine and technology., • Career Launchpad: Exceptional preparation and mentorship for future careers in high-growth health-tech, software engineering, or top-tier medical/graduate school programs.

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

Title: Product Manager Duration: 12 month contract + extensions Rate: $65-$75 hourly Location: 1 Park Ave – New York (onsite 1x a week) Job Description: We are seeking a highly technical Product Manager to lead the strategy, development, and optimization of our Provider Data Hub platform. This individual will partner closely with Engineering, Clinical Operations, Digital Product, and Business stakeholders to deliver scalable provider data solutions across the organization. The ideal candidate has a strong technical foundation, preferably with a software engineering or systems integration background, and is comfortable working with Java-based web services, APIs, integration platforms, and healthcare data ecosystems. This person should be highly analytical, data-driven, organized, and capable of translating complex business and clinical requirements into actionable product roadmaps and technical solutions. Required Skills & Experience: • 5+ years of Product Management experience supporting enterprise applications or healthcare technology platforms, • Experience supporting highly technical software engineering teams, • Strong understanding of REST APIs, web services, microservices, and service-oriented architecture, • Experience working with Java application environments and integration layers, • Proven ability to write detailed requirements, user stories, acceptance criteria, and functional documentation, • Experience working in Agile/Scrum delivery environments, • Strong analytical and problem-solving skills with a data-driven approach to decision making, • Ability to communicate effectively with engineers, architects, business leaders, and clinical stakeholders, • Experience managing product backlogs, prioritization frameworks, and product roadmaps, • Bachelor's degree in computer science, Information Systems, Engineering, Healthcare Informatics, or a related field $65 to $75 Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR·MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR.MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR.MS ingests OHDSI’s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR.MS is integrated with Minerva, a high-performance computer with >21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading the ongoing integration of multi-modal clinical data into the AIR.MS data warehouse. The Lead Data Warehouse Engineer will assess the state of data integration, identify opportunities for data integration based on researcher’s priorities, develop a plan to integrate metadata and data, and execute on the data integration. The incumbent will work collaboratively with other members of the AIR.MS data platform and Mount Sinai Data Warehouse teams to lead technical efforts for the integration of multi-modal data sets resulting in expanded AIR.MS functionality. The AIR.MS data warehouse is built on the SAP HANA technology stack and MSDW is built on MySQL. Responsibilities: • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager, • Design, build, test, and maintain data pipelines that extract/capture data from source systems, transform and augment those data, and integrate it into a multi-modal data repository, • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management, • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance, • Mentor junior engineers in data warehousing, data engineering skills, and operational support, • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON), • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation, • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs, • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support, • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching, • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach, • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations, • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost, • Identify improvements in procedures, technology, compliance, and data privacy/security, • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring, • Perform related duties as assigned Qualifications: • Bachelor’s degree in a technical field; Master’s preferred, • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred: • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development, • Expert-level experience with data engineering technologies: SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, data transformation tools, job orchestration tools for data processing, • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence;, • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment, • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet., • Experience with database administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every indivi dual.At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. Compensation: The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

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

This is an early, high-ownership builder role at a Series A robotics startup building a platform that automates how physical, real-world hardware systems get developed and tested. Rather than another software layer bolted onto existing tools, the platform handles the full development loop end to end, from simulation to test generation to AI-proposed fixes, spanning software, firmware, and hardware. It's a novel infrastructure-and-agents problem. Founders: a tight-knit team of classmates from a top computer science program, several with backgrounds at places like Tesla Autopilot and DeepMind, who've already built and sold one company together and are now tackling a much bigger problem in physical AI. This is an in person role, 5 days a week, out of their New York City office. Responsibilities • Build and run the cloud infrastructure behind the platform's simulations: orchestration, GPU pools, storage, observability., • Ship the web app customers use to author, run, and review simulations., • Build the SDKs, CLIs, and internal tools that keep engineers and customers moving fast., • Build the agentic harness (APIs, MCP servers, evals) that lets coding agents run simulation work end to end., • Drive performance, reliability, and cost as usage scales., • Work directly with customers to integrate the platform into their pipelines. Desired Qualifications • Generalist engineer who's run production cloud systems (GCP/AWS/Azure, Kubernetes)., • Strong Python; Rust or C++ a plus., • History shipping dev-facing tools, SDKs, APIs, CLIs, that other engineers rely on., • Sharp instincts for reliability, performance, and distributed systems., • Uses coding agents as a multiplier on top of real engineering chops, • Has shipped real production systems. ---------------- Greylock Talent: I am a full-time, salaried employee of Greylock, and there are no fees associated with any of the work I do. My team provides free candidate referrals/introductions to all of our active investments (one of the many services we provide), and I'm always looking to add new people to our network of talent.

AI/ML Engineer NYC – Onsite 3 days per week Must be US Citizen or Green Card holder to apply, Full-Time only no Contract or C2C About the Job The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms. This includes propensity and uplift modeling, classification models, forecasting, foundation models, and other methodologies. This individual will work alongside Senior AI/ML Engineers to develop scalable AI/ML solutions and provide data-driven and optimization insights across the enterprise. Key Responsibilities: • Work alongside Senior AI/ML Engineers to design, develop, and deploy AI/ML solutions with best practices in statistics, machine learning, deep learning, and foundational models to improve the profitability for the company. Example includes classification models, forecasting, propensity and uplift modeling, foundational model fine-tuning, evaluation, and implementation, etc., • Identify growth opportunities in underwriting, claims processing, risk assessment, and/or customer service through AI/ML augmentation., • Collaborate cross-functionally with business, IT, and Transformation to drive scalability and impact of the AI/ML solutions., • Communicate complex AI/ML concepts and findings to business leaders in a clear and concise manner. Required Professional and Technical Expertise: • Must Have Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines., • 2+ years of experience with advanced analytics techniques (e.g., decision tree, logistic regression, hierarchical regression, neural network, random forest, etc.), • 2+ years expert level R or Python analytics experience, • Hands-on experience with digital and CRM data (structured and unstructured)., • Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow. Preferred Professional Technical Expertise: • Internship or project experience in AI engineering, machine learning, or a related field, preferably within the insurance or financial services industry., • Knowledge of actuarial science and insurance-specific data sets.

Project Description: DXC Luxoft has one of the world's leading Murex practices. We are a top-tier Murex Alliance Partner and a market leader in implementation, integration, upgrade, and migration. We provide end-to-end project services and have delivered over 200 successful Murex projects across all major asset classes and sectors including investment banking, asset management, corporate treasury, and insurance. This is a contractor position. Whether you possess a background in finance, technology, or Mathematics, your experience in the capital markets industry would be of high interest to us. Responsibilities: Testing responsibilities would include, but not limited to: • contribution to creation of a Test Design Document (TDD) and own testing outcomes at the project level, • Interaction with all up and downstream parties involved in testing, • Knowledge in technical environments such as SQL, XML, Unix, Windows, • Knowledge in CI tools like Jenkins, GitLab, Azure DevOps and others, • Strong understanding of version control systems such as GIT., • Experience with automation tools and scripting languages., • Knowledge in capital market is a plus., • Experience in the Software Engineering Industry, Software Quality & Testing, Test Management is a plus., • ISTQB certification or equivalent is a plus., • Communication and presentation skills, • Analytical thinking and problem-solving skills, • Teamwork and cross group collaboration, • Drive for excellence, • Eagerness to learn and develop on a broad scope (functional, product, finance, testing and technical), • Ability to work under pressure in a continuously evolving & challenging environment., • Build and manage personal Test schedule, • Manage and resolve testing conflicts, • Work closely with the analysis team to ensure clear testable acceptance criteria are part of the defined requirements, • Ensure that we have full traceability of test cases back to requirements, • Ensure that we understand test coverage at each stage, • Plan the project test strategy, within the guidelines + constraints of the program test strategy, • Define the project test environment requirements, and work with the Environments, • Configuration Management team to ensure that those environments are delivered, • Define the project test data strategy, and prepare common test data (working with the program test data lead), • Ensure that regression and automation tests are delivered along with (or asap after) the code release, and incorporated into future test phases including regression testing, • Participate in Quality Assurance reviews as required, • Interface with governance via the Delivery Management Meeting and Functional Management meeting, • Work with Program Management to plan and flex tester capacity and skills to meet project needs, • Work with program management to ensure the program can supply the necessary capacity and capability to staff and execute the various test cycles Mandatory Skills Description: • MXtest knowledge & experience, • MX.3 knowledge & experience, • University degree in Computer science, computer engineering, mechatronics or equivalent, • 0-3 years of experience, • Knowledge in technical environments such as SQL, XML, Unix, Windows, • Knowledge in CI tools like Jenkins, GitLab, Azure DevOps and others., • Strong understanding of version control systems such as GIT., • Experience with automation tools and scripting languages., • Knowledge in capital market is a plus., • Experience in the Software Engineering Industry, Software Quality & Testing, Test Management is a plus., • ISTQB certification or equivalent is a plus., • Communication and presentation skills, • Analytical thinking and problem-solving skills, • Teamwork and cross group collaboration, • Drive for excellence, • Eagerness to learn and develop on a broad scope (functional, product, finance, testing and technical), • Ability to work under pressure in a continuously evolving & challenging environment.

Adecco Creative is partnering with a global Fashion House to recruit for a Sr. Analyst, Procurement role. This position will be an 8-month contract and hybrid schedule in Midtown Manhattan. Sr. Analyst, Procurement – Strategic Sourcing Primary Purpose: Sr. Analyst, Procurement will be responsible for supporting the strategic sourcing and procurement activities for the brand’s Digital, IT technologies and services for all brands. • Provide support to Category Leaders for the implementation of strategic sourcing activities, including but not limited to RFx, spend analysis, contract analysis, and bid evaluation, • Provide support to Category Leaders by managing new vendor onboarding projects and renewals, including strategic Proof-of-Concept (POC) initiatives, from initial operational setup to final document routing, including working with Legal, Finance, and Procurement Operations partners to ensure timely execution, • Ensure the processing of all contractual documents comply with the established contract management workflow and the fully executed are properly cataloged in the Contract Management System., • End-to-end tracking of all contractual document workflows, including status updates, workflow prioritization, and identifying potential risks, • Areas in scope will include: Digital, IT, Analytics, Finance, and associated, • Collaborate with business stakeholders to support their strategic projects and POCs and provide operational support to Category Leads, • Conduct end-to-end RFP/RFI events, • Collaborate with business partners to structure regional and global agreements that align with organization objectives and leverage scale, • Support procurement strategies and frameworks in accordance with Tapestry’s global policies. The accomplished individual will possess: • Strong analytic and problem-solving skills., • Strong written and verbal communication and presentation skills., • Understanding of cross-functional needs, collaborative approach, team player, • Experience in financial analysis, market analysis, and enterprise technology utilization, • Experienced with leading RFP’s and RFI’s through completion, • Proactive, efficient, autonomous and professional aptitude in the prioritization and execution of activities with various degrees of complexity., • Ability to demonstrate agility and resilience, • Bachelor’s Degree from an accredited four-year college or university (preferably in Supply Chain, Information Systems, Computer Science, Engineering, Business Management or Finance), • Experienced working in a matrix environment or in a global, multi-cultural cross-functional team., • Retail industry experience preferred, • Creativity, outside-the-box thinking, innovative approach, • Global perspective and experience across geographies, • Strong relationship building and collaboration, • Interest in the ever-changing technology landscape Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. There is no PTO or holiday pay for contracts. Sick leave is accrued where applicable, check your state laws. Equal Opportunity Employer/Veterans/Disabled Must be authorized to work in the U.S. without employer sponsorship. 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 Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Tokio Marine: Tokio Marine has been conducting business in the U.S. market for over a century and we are licensed in all states, Puerto Rico and the District of Columbia, and write all major lines of Commercial Property and Casualty Insurance. We provide unique insurance and risk management tools from our experienced staff of account executives, underwriters and loss prevention engineers and fair and timely claim settlement from a skilled team of claim professionals. We work with major brokers and leading independent insurance agents throughout the United States to serve the world's largest and most distinguished organizations. We are committed to creating value for our customers by providing ANSHIN (safety, security and peace of mind). We strive to be creative and passionate as we work towards our long-term success. Tokio Marine Holdings is Japan's oldest, and one of the largest property and casualty insurers. Founded in 1879, TMNF operates worldwide in 47 countries. With annual revenues of approximately $50 billion and an A.M. Best rating of A++, one of the highest in the industry, we are one of the top 20 insurance providers worldwide. Job Summary Provide professional Highly Protected Risk (HPR) loss control services to Tokio Marine clients and Tokio Marine Management, Inc. Coordinates and conducts loss control management evaluations, physical surveys, loss analysis, and training to assist Tokio Marine clients to improve and maintain loss control activities. Coordinates and conducts loss control management evaluations, physical surveys and loss analysis to assist Tokio Marine Management Underwriting in their evaluation of risk. Provide loss control technical support to Tokio Marine departments such as underwriting, claims and coordination. Coordinate loss control activities on select accounts ensuring service plans are maintained and completed, responding to customer requests and needs while also supporting underwriting and claims at renewal and throughout the policy period. Essential Job Functions • Performs loss control surveys of prospects and clients on request for underwriting information and evaluation from a loss control viewpoint for desirability., • Coordinates loss control service to select clients requiring defined service standards., • Prepares reports for clients, Underwriting and Branch concerning the loss control in effect, including accident analysis, conditions noted, recommendations for improvement and future needs., • Assists in the development and presentation of programs and training seminars for clients and other departments in the Company., • Responds to special requests from Underwriting Department and clients with prior approval from Loss Control Department Management., • Develops and maintains Loss Control instructions for multi-location clients being coordinated by Loss Control., • Completes all work scheduled in regular service assignments or requests in a timely manner., • Maintains membership and actively participates in professional organizations approved by departmental standards guidelines., • Utilizes PC programs (Accident Analysis, Presentation Software, etc.) in preparing presentations for prospects and clients., • Plans and performs work scheduling in a timely and cost effective manner., • Responsible for complying with proper internal controls as necessary to conduct job functions and/or carry out responsibilities and/or administrative activities at Company. Qualifications • Bachelor's Degree preferably in Engineering / Science or equivalent job experience., • Minimum five years experience servicing major accounts (multi-locations and $100,000 premium and up)., • Possesses a specialty in HPR loss control., • Good communication skills, both written and oral and capable of making presentation to a group., • Good computer skills to include the use of Microsoft software and ability to learn TMA internal programs and other software., • Valid driver's license free of violations., • Physically capable of performing the job requirements - walking, carrying and climbing., • Capable of occasional air/ vehicle travel to client sites, as required Salary range $160,000 to $175,000. Ultimate salary offered will be based on factors such as applicant experience and geographic location. Our company offers a competitive benefits package and bonus eligibility on top of base. TMA believes the perfect candidate is more than just a resume. If you don't meet every single requirement, but are still interested in the job, we encourage you to apply. Benefits: We offer a comprehensive benefit package, which includes a generous 401K match. Our rich history of outstanding results and growth allow us to focus our business plan on continued growth, new products, people development and internal career opportunities. EEO Statement Tokio Marine Management 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, or sexual orientation.

Senior Product Manager AI / Senior AI Product Manager needed by aggressively growing series A scale up who have raised $100M from world leading investors. Office based 5 days / week (not negotiable) - New York Salary - $200,000 - $250,000 + equity The Senior Product Manager AI / Senior AI Product Manager will own the end-to-end user journey and transform a highly complex workflow into a low friction, easy to use self service experiencing using AI. Our Client is disrupting a highly competitive legacy sector that has well established "gorillas" as incumbents; as a result this is a high energy, work hard environment that will require a commitment to the role that is second to none in order to disrupt and restructure the market. The Senior Product Manager AI / Senior AI Product Manager will: • Own the product lifecycle from discovery to launch and iteration, • Define the metrics for product success, • Work with design and engineering to navigate trade off and deliver intuitive, easy to use products, • Improve any internal processes or tooling that will help the team ship products faster The Senior Product Manager AI / Senior AI Product Manager will have: • Great academics in a STEM or Computer Science field, • Strong B2B SaaS product experience, • Experience delivering AI enabled products, ideally related to workflow (this is optional), • High agency and a commitment to delivering, • The ambition to want to join a fast growing organisation and break a market A great salary and significant equity is part of the deal.

Role Overview We are seeking an experienced Quantitative Researcher to join Systematic Trading at Jain Global. The role is focused on systematic global equities research, with holding horizons ranging from overnight to multi-day and longer-term. We are looking for researchers with a demonstrated track record of developing successful quantitative signals and investment strategies. The role offers the opportunity to contribute across the broader investment process, including data exploration, signal research, modeling, portfolio construction, strategy implementation, and productionization. You will own research from idea generation through strategy development, validation, implementation, and ongoing evaluation. You will work closely with other quantitative researchers, developers, and technologists to identify new sources of alpha, improve existing strategies, and build robust and scalable systematic investment processes. The ideal candidate combines strong quantitative and programming skills with sound research judgment, intellectual curiosity, and a demonstrated ability to translate complex datasets and market observations into robust, actionable investment insights. Responsibilities • Conduct independent quantitative research to identify, develop, and evaluate systematic global equity strategies and alpha signals., • Generate research hypotheses and apply rigorous empirical methods to determine whether observed relationships are robust, economically meaningful, and likely to generalize out of sample., • Analyze large and complex datasets—including market, fundamental, and alternative data—to uncover predictive relationships and investment opportunities., • Develop, test, and validate statistical and machine-learning models for return forecasting, signal construction, portfolio construction, and trading., • Own research projects through the full lifecycle, from hypothesis generation, data exploration, and feature engineering through backtesting, implementation, and ongoing performance evaluation., • Identify and evaluate new datasets and develop differentiated features and signals from market, fundamental, and alternative data., • Collaborate closely with quantitative researchers, developers, and technologists to translate successful research into scalable production strategies., • Evaluate and improve existing signals, models, and research frameworks, with particular attention to robustness, overfitting, transaction costs, market frictions, and out-of-sample performance., • Leverage modern research infrastructure—including AI-assisted tools, agentic workflows, and scalable CPU/GPU compute—where useful to accelerate data analysis, experimentation, model development, and implementation., • Communicate research findings, assumptions, risks, and investment implications clearly, and contribute to the broader research and investment process. Qualifications & Experience • Degree in Mathematics, Computer Science, Statistics, Physics, Engineering, Machine Learning, Computational Finance, or another highly quantitative field., • Typically 3+ years of relevant quantitative research experience in systematic investing, quantitative trading, or a closely related field., • Demonstrated experience developing successful systematic equity signals or strategies with holding horizons ranging from overnight to multi-day and longer-term., • Experience conducting quantitative research in global equities., • Demonstrated ability to independently generate, develop, evaluate, and iterate on quantitative investment ideas., • Strong programming skills in Python and familiarity with modern quantitative research and data-analysis tools., • Strong understanding of statistical modeling, cross-sectional and time-series analysis, machine learning, and linear and non-linear modeling techniques., • Experience working with large, noisy, and complex datasets and extracting robust, economically meaningful signals., • Strong understanding of research methodology, including backtesting, model validation, overfitting, transaction costs, and out-of-sample evaluation., • Ability to combine rigorous quantitative analysis with economic intuition and practical investment judgment., • Strong communication skills and the ability to collaborate effectively with researchers and technologists in a fast-paced research environment.

Job Title: Data Quality & Responsible AI Governance Lead Location: Newark, NJ (Hybrid — 3 days/week onsite) Employment Type: Contract-to-Hire Pay Rate: $55–$62/hour, depending on experience About the Role A major financial services firm is seeking a Data Quality & Responsible AI Governance Lead for a long-term, contract-to-hire engagement based in Newark, NJ (3 days/week onsite). This role sits at the intersection of data management and governance, enterprise data quality assurance, Responsible AI operations, data architecture, and technology risk management. You will make quality and governance requirements executable within the flow of delivery by embedding controls into data sourcing, ADS and data product certification, metadata and lineage workflows, pipeline validation, AI lifecycle gates, monitoring, exception management, remediation, recertification, and evidence generation. You will help mature a control plane that provides visibility into AI data readiness, data quality health, control coverage, exceptions, incidents, remediation status, and audit-ready evidence. Key Responsibilities • Lead enterprise implementation of data quality and AI data readiness controls across authorized data sources, data products, semantic products, and AI use cases., • Define what "AI-ready data" means in practice, including quality thresholds, lineage completeness, metadata completeness, source authorization, classification, access controls, issue history, freshness, and remediation expectations., • Translate Responsible AI control requirements into measurable data control requirements embedded into pipelines, certification workflows, metadata platforms, dashboards, and evidence routines., • Partner with data architects, data engineering, platform, and domain teams to determine where controls belong across ingestion, transformation, publication, semantic access, AI consumption, and runtime monitoring., • Perform hands-on data modeling (conceptual, logical, physical, canonical, semantic) to support trusted data products, ADS certification, AI consumption patterns, and downstream DQ control design., • Define reusable DQ and RAI control patterns, rule templates, evidence payloads, and implementation guidance that domain teams can adopt consistently., • Guide domain teams on defining DQ rules, thresholds, exception management, remediation, and evidence without duplicating central governance processes., • Establish operating routines for profiling, rule execution, exception review, root-cause analysis, remediation tracking, retesting, recertification, and closure evidence., • Integrate data quality controls into AI lifecycle gates so AI products use fit-for-purpose, authorized, governed, and traceable data sources., • Define and maintain control libraries for data quality, AI data readiness, metadata, lineage, access, privacy, monitoring, certification, and lifecycle governance., • Drive automation that reduces manual governance burden while improving traceability, repeatability, and audit readiness., • Define monitoring thresholds, alerts, KRIs, KPIs, and reporting routines that give senior leaders visibility into data quality health, AI readiness, exceptions, and remediation progress., • Coordinate across business owners, product teams, architecture, security, privacy, legal, compliance, risk, model risk, and audit., • Maintain audit-ready documentation including control mappings, rule logic, test results, approvals, exceptions, incidents, and remediation evidence., • Lead playbooks, standards, and enablement materials that help teams adopt DQ and RAI control practices at scale. Required Skills and Experience • Strong experience in enterprise data quality, data governance, data management, data architecture, technology controls, or Responsible AI operations within a complex enterprise environment., • Strong understanding of enterprise data architecture, authorized data sources, data products, data contracts, metadata, lineage, semantic layers, access controls, and governed lakehouse/cloud data platform patterns., • Hands-on experience designing/reviewing conceptual, logical, physical, canonical, dimensional, domain, and semantic data models., • Hands-on knowledge of data quality frameworks: rule design, profiling, thresholds, observability, reconciliation, anomaly detection, issue management, remediation, and scorecards., • Ability to connect data quality outcomes to Responsible AI needs: traceability, suitability, representativeness, bias/proxy-risk, privacy, monitoring, and lifecycle governance., • Experience embedding controls into pipelines, workflows, platforms, certification routines, metadata systems, or CI/CD., • Familiarity with AI/ML, generative AI, agentic AI, model lifecycle management, model registries, evaluation workflows, and production release controls., • Ability to translate policy and regulatory expectations into practical requirements, acceptance criteria, and evidence expectations., • Experience partnering with risk, compliance, legal, privacy, information security, model risk, and internal audit., • Excellent written and verbal communication skills for executives, practitioners, and control partners., • Strong execution and leadership skills: backlog management, stakeholder alignment, operating model design, and delivery against milestones. Preferred Qualifications • Experience in a regulated industry (financial services, insurance, healthcare, or similar)., • Experience with Data Quality, Responsible AI, AI governance, model risk, technology risk, or operational risk frameworks., • Working knowledge of DQ/observability tools, metadata/catalog platforms, lineage tooling, cloud platforms, and reporting tools., • Experience designing DQ rule libraries, control catalogs, evidence schemas, certification criteria, or automated control testing., • Experience defining operating models, RACI, decision rights, and executive reporting routines., • Technical fluency with SQL, Python, APIs, YAML/JSON, rules engines, and test automation strongly preferred., • Bachelor's degree in computer science, data science, engineering, information systems, risk management, or a related field; advanced degree or certifications preferred.

Position Summary The Senior Data Analyst will serve as the bridge between business stakeholders and the Enterprise Data team. This individual will transform data into actionable insights, define business metrics, ensure data quality, and help expand company's AI-ready data platform. They will work closely with Finance, Sales, Operations, Product, Customer Success, and Engineering to deliver trusted analytics, semantic models, dashboards, and data products. Key Responsibilities Business Intelligence & Analytics • Develop and maintain executive dashboards, reports, and scorecards using Tableau and Snowflake., • Partner with Finance, Sales, Operations, Product, and Customer Success to translate business requirements into analytical solutions., • Perform ad hoc analysis to identify trends, business opportunities, and operational improvements., • Define, calculate, and maintain standardized KPIs and business metrics across the organization., • Present analytical findings and recommendations to business stakeholders and executive leadership. Data Engineering & Data Integration • Develop and maintain SQL-based data transformation logic, views, and stored procedures within Snowflake., • Support the design, testing, and maintenance of ETL/ELT data pipelines from source systems such as PostgreSQL, SQL Server, Salesforce, APIs, and Amazon S3., • Validate data ingestion processes to ensure completeness, consistency, and accuracy across enterprise data platforms., • Troubleshoot data pipeline issues, perform root cause analysis, and work with Data Engineers to resolve production incidents., • Assist in optimizing SQL queries, data models, and reporting structures for scalability and performance., • Participate in deploying data enhancements through Development, QA, Stage, and Production environments while following SDLC and change management processes., • Contribute to data modeling initiatives, including dimensional models and curated reporting datasets. Data Quality & Governance • Monitor and improve enterprise data quality by identifying anomalies, inconsistencies, and reconciliation issues., • Develop data validation processes and reconciliation reports between source systems and Snowflake., • Maintain business definitions, data dictionaries, metadata, and documentation for enterprise reporting assets., • Collaborate with business and engineering teams to define data standards, governance policies, and reporting consistency. AI & Advanced Analytics • Support the development and maintenance of semantic models used by Snowflake AI and enterprise data agents., • Validate AI-generated responses and improve metadata, synonyms, and business definitions to enhance accuracy., • Assist in evaluating emerging AI capabilities that improve analytics, reporting, and business decision-making. Collaboration & Continuous Improvement • Work closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver enterprise data solutions., • Participate in requirements gathering, solution design, testing, and user acceptance activities., • Identify opportunities to automate manual reporting processes and improve operational efficiency., • Promote best practices in analytics, data engineering, documentation, and data governance. Preferred Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field., • 4–7 years of experience in data analytics, business intelligence, or analytics engineering., • Advanced SQL with experience writing complex queries, views, stored procedures, and performance tuning., • Experience with Snowflake or another cloud data warehouse., • Experience with Tableau or a comparable BI platform., • Working knowledge of ETL/ELT concepts and modern data architectures., • Familiarity with AWS services such as S3, Glue, or Lambda is preferred., • Experience working with APIs and semi-structured data (JSON, XML, Parquet)., • Basic Python scripting for data analysis or automation is a plus., • Experience with Git, SDLC processes, and Agile methodologies., • Excellent analytical, problem-solving, communication, and stakeholder management skills. This job description reflects someone who can not only build dashboards but also understand how data is ingested, transformed, governed, and consumed—making them an effective bridge between business users and your data engineering team while supporting your Snowflake-based data platform.

Lead Data Scientist Location: Hybrid — Newark, NJ (3 days/week onsite) Employment Type: Contract-to-Hire Pay Rate: $70-$85 per hour, based on experience. No C2C/1099. W2 only. About the Role • Join a leading investment firm as a Lead Data Scientist, partnering with Machine Learning Engineers, Data Engineers, Data Analysts, and cross-functional teams to build AI and Machine Learning products, • Implement Machine Learning, AI, and agentic capabilities that deliver stability, scalability, and integration across products and services, • Solve sophisticated business problems and deploy innovative products and experiences What You'll Do • Provide deep technical leadership across a portfolio of high-impact data science initiatives, • Identify optimal data, models, and training/testing techniques for successful product delivery, • Manage team members across data analysis, model development (traditional ML and statistical models), GenAI and agent development, testing, training, and tuning, • Write production-grade code and partner with ML engineers to push models into production, including traditional ML, statistical models, GenAI, and agentic solutions, • Work hands-on with Agentic AI systems, fine-tuning techniques (e.g., LoRA), LLM deployment, RAG, Agentic RAG, Strands, Claude Agents SDK, and related agentic concepts, • Communicate model design and development clearly to technical and non-technical audiences, • Leverage CI/CD best practices, including test automation and monitoring, for ML model and application deployment, • Stay current on emerging technologies and embed learning/innovation into the team's daily work, • Program primarily in Python and SQL What You Bring • Advanced degree (Master's or Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial Science, Data Science, or a related quantitative field, • Experience leading a small team with minimal guidance, • Demonstrated ability to mentor team members and manage operations based on project and resourcing needs, • Ability to influence business stakeholders and drive adoption of AI/ML solutions, • Experience with Agile methodologies and Test-Driven Development (TDD), • Strong business acumen to support sound, context-driven decision-making, • Excellent problem-solving, communication, and collaboration skills, • Experience with cloud-based AI platforms such as Bedrock and SageMaker Preferred Technical Expertise (several of the following) • Data acquisition and transformation using APIs, semantic data models, SQL, and Python, • Database management across relational (SQL), unstructured (NoSQL), and graph/ontology (Graph DB) systems, • Data analysis using visualization, manipulation, and statistical methods to identify trends and anomalies, • Strong foundation in multivariable calculus, linear algebra, differential equations, applied probability, and applied statistics, • Deep understanding of machine learning theory, including supervised and unsupervised models, • Experience with Generative AI and NLP, including RAG, LangChain, LangGraph, vector databases, LangFuse, and AgentCore, • Understanding of the model deployment lifecycle, A/B testing, CI/CD pipelines, and frameworks such as AWS SageMaker and Azure Agentic AI tools

Senior Data Engineer — Contract Location: Hybrid — 3 days/week onsite in Newark, NJ About the Role Join a major investment firm as a Senior AWS Data Engineer supporting enterprise data platform initiatives. This role focuses on building scalable data pipelines, CI/CD automation, and end-to-end data solutions across the AWS ecosystem. Experience with Informatica (data catalogue, marketplace, data lineage, data quality), Denodo, and/or Ataccama is a strong plus. Qualifications • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience, • 8+ years of experience as a Data Engineer on the AWS stack, including DevOps tooling, • AWS Solutions Architect or AWS Developer Certification required, • Strong hands-on experience with AWS services, including:, • CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, • RDS, Redshift, DynamoDB, Lambda, Step Functions, • IAM, KMS, SM, EventBridge, EC2, SQS, SNS, • LakeFormation, CloudWatch, CloudTrail, DataSync, DMS, • Experience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred), • Proven experience building AWS data lake/data warehouse solutions, • Skilled in designing, developing, and implementing data ingestion pipelines on AWS, • Knowledge of ETL/ELT implementation for data solutions, • Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access, • Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model, • Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins, • Strong programming skills in Python, Shell scripting, and SQL, • Experience with SQL stored procedures for data analysis, • Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift, • Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases, • Solid DevOps background, including:, • Bitbucket (source code management), • Python, Shell, Groovy scripting, • API deployment for tooling integration, • Jenkins and CloudBees (Pipeline as Code, Shared Libraries), • SonarQube, Artifactory, and similar DevOps tools, • Maven, MS Build, Gradle, • Docker, • Jira and Confluence, • Infrastructure as Code via CloudFormation, • Experience creating Jenkins CI pipelines integrating Sonar/security scans and test automation, • Ability to accurately document exceptions, issues, action plans, meeting minutes, and lessons learned Responsibilities • Design, build, and maintain efficient, reusable, and reliable code, • Ensure optimal performance and quality of high-scale data applications and services, • Participate in system design discussions, • Independently perform hands-on development and unit testing, • Collaborate with the development team to integrate components into the enterprise data platform, • Work cross-functionally with product, QE/QA, and other teams throughout the full software development lifecycle, • Identify and resolve performance issues, • Stay current with emerging technologies and implementation practices, • Participate in code reviews to ensure standards and best practices are met, • Take ownership of estimating, planning, and managing tasks in an Agile environment, • Take shared responsibility for software quality rather than relying on separate QA teams, • Collaborate closely with all team members toward shared goals, • Engage with users as needed to clarify requirements

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Additional Information *The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York City, NY is $110K - $120K/year & benefits (see below). Job Summary We are seeking a skilled Mainframe Systems Programmer with experience in IBM z/OS environments. The ideal candidate will be responsible for supporting, maintaining, and enhancing mainframe systems and related infrastructure. The role requires strong expertise in z/OS system programming, automation, scheduling, security administration, and scripting to ensure high availability, performance, and operational efficiency of enterprise platforms. Key Responsibilities • Administer, maintain, and support IBM z/OS operating systems and associated mainframe infrastructure, • Perform system programming activities including installation, customization, maintenance, and troubleshooting of z/OS components, • Develop and maintain automation scripts using REXX, JCL, and Python, • Support batch processing environments and scheduling activities using TWS (Tivoli Workload Scheduler/IBM Workload Scheduler)., • Manage and troubleshoot SAS platform integrations and batch execution processes, • Administer and maintain RACF security configurations, user access management, and compliance controls., • Work with Linux environments supporting application integrations and operational requirements, • Conduct performance monitoring, capacity planning, system tuning, and problem determination., • Support incident, change, and release management activities following established IT processes., • Collaborate with infrastructure, application, and security teams to ensure system stability and regulatory compliance, • Create and maintain technical documentation, operational procedures, and knowledge articles Required Skills & Qualifications Mandatory Skills • Strong experience in z/OS Systems Programming, • Expertise in JCL (Job Control Language), • Proficiency in REXX scripting, • Experience with SAS administration and batch processing, • Hands-on experience with TWS/IBM Workload Scheduler, • Good working knowledge of Linux operating systems, • Experience in Python scripting and automation, • Strong knowledge of RACF security administration, • Understanding of mainframe operations, system monitoring, and troubleshooting, • Excellent problem-solving and analytical skills Preferred Skills • Experience in ISPW Administration, • Experience in ITOMS Administration, • Exposure to DevOps practices and automation within mainframe environments, • Knowledge of enterprise ITIL processes Education • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline Desired Competencies • Strong communication and stakeholder management skills, • Ability to work independently and in a collaborative team environment, • Proactive approach to identifying and resolving system issues., • Ability to manage multiple priorities in a fast-paced production environment We can offer you • A highly competitive compensation and benefits package, • A multinational organization with 58 offices in 20 countries and the possibility to work abroad, • Laptop and a mobile phone, • 10 days of paid annual leave (plus sick leave and national holidays, • Maternity & Paternity leave plans, • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region, • Retirement savings plans, • A higher education certification policy, • Commuter benefits (varies by region), • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses, • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups, • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms, • A flat and approachable organization, • A truly diverse, fun-loving and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEM ENTDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

About the Opportunity Delmar Nord has partnered with one of the world's most respected and elite hedge funds to identify a C++ Software Engineer for their core technology team. Our client is a global investment firm renowned for its rigorous, data-driven approach to markets, its best-in-class engineering culture, and its sustained track record of performance across multiple asset classes and strategies. This is a rare opportunity to join a highly selective team building mission-critical systems at the intersection of finance and cutting-edge technology. This role sits within a fast-paced, collaborative environment where engineers work in close partnership with traders, quantitative researchers, and portfolio managers to design and build the systems that power the firm's trading and investment operations. The organization invests heavily in its technology talent and offers exceptional resources, autonomy, and the opportunity to work on problems with direct, measurable impact. What You'll Do • Design, build, and maintain high-performance, low-latency C++ applications that support trading, market data processing, and investment decision-making, • Collaborate directly with traders, quants, and portfolio managers to translate business and research requirements into robust, production-grade software, • Optimize systems for speed, reliability, and scalability, working close to the metal where performance is critical, • Contribute to the full software lifecycle, including architecture, design, implementation, testing, deployment, and ongoing support, • Participate in code reviews, design discussions, and engineering best practices to maintain a high bar for code quality, • Troubleshoot and resolve complex production issues, often under time-sensitive conditions, • Continuously evaluate and adopt new tools, frameworks, and approaches to improve system performance and developer productivity What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (advanced degree a plus), • 5+ years of professional experience developing production software in modern C++ (C++11/14/17/20), • Strong foundation in data structures, algorithms, multithreading, and systems-level programming, • Experience building or working with high-performance, low-latency, or real-time systems, • Solid understanding of Linux/Unix development environments, • Excellent problem-solving skills and the ability to work effectively in a fast-paced, high-stakes environment, • Strong communication skills and the ability to collaborate cross-functionally with both technical and non-technical stakeholders, • A high degree of intellectual curiosity, ownership, and attention to detail Preferred, but not required: • Prior experience in financial services, trading systems, or quantitative environments, • Familiarity with market data protocols, exchange connectivity, or order management systems, • Exposure to Python or other scripting languages for tooling and automation, • Experience with distributed systems, messaging middleware, or cloud infrastructure Why This Role • Join an elite, highly selective engineering organization within a top-tier global hedge fund, • Work on technically demanding problems with direct exposure to trading and investment outcomes, • Highly competitive compensation, including base salary and discretionary bonus, • Comprehensive benefits package and significant investment in professional development, • A culture that rewards technical excellence, intellectual rigor, and collaborative problem-solving

ONSITE INTERVIEW NEXT WEEK IN JERSEY CITY, NJ. NO EXCEPTIONS FOR VIRTUAL!!* DO NOT APPLY IF YOU CANNOT GO ONSITE FOR INTERVIEW Key Responsibilities • Design, build, and maintain scalable, modular dbt models and transformation pipelines using DBT Core., • Understand DBT Architecture thoroughly and experience in writing Python operators in DBT flow. Strong experience in writing Jinja code, macros, seeds etc., • Design and develop data warehouses using Snowflake., • Build and maintain ETL/ELT pipelines to load data from multiple sources., • Optimize Snowflake performance (Clustering, Warehouses, Query tuning)., • Implement data security (roles, access control, masking), • Knowledge of data modeling techniques like data vault and dimensional modeling (Kimball/Inmon)., • Automate workflows using data orchestration tools (Apache Airflow or Snowflake Tasks), • Collaborate with full-stack developers and UI/UX engineers to support application features that rely on transformed datasets., • Work closely with analysts and stakeholders to gather data requirements and translate them into reliable data models., • Enforce data quality through rigorous testing, documentation, and version control in dbt., • Participate in Agile ceremonies (e.g., stand-ups, sprint planning) and manage tasks using Jira., • Integrate dbt into CI/CD pipelines and support automated deployment practices., • Monitor data performance and pipeline reliability, and proactively resolve issues. Mandatory Qualifications & Skills • 3–5+ years of experience in data engineering or analytics engineering, with a focus on SQL-based data transformation., • Hands-on production experience using dbt core or dbt cloud as a primary development tool., • Strong command of SQL and solid understanding of data modeling best practices (e.g., star/snowflake schema)., • Proven experience with Snowflake as a cloud data warehouse., • Python skills for data pipeline integration or ingestion., • Familiarity with Git-based version control workflows., • Strong communication and collaboration skills, with the ability to work across engineering and business teams., • Experience working in Agile/Scrum environments and managing work using Jira., • Nice-to-Have Skills Exposure to CI/CD pipelines and integrating dbt into automated workflows., • Experience with cloud platforms such as AWS., • Understanding of how data is consumed in downstream analytics tools (e.g., Sigma, Qlik, Power BI)., • Familiarity with Docker and container-based development. Education & Experience • Bachelor’s degree in computer science, Data Engineering, or related field., • A track record of building and maintaining scalable dbt projects in a production setting with Snowflake and Airflow., • Experience working in cross-functional teams involving developers, analysts, and product managers., • A strong sense of ownership, documentation habits, and attention to data quality and performance.

Position Summary We are looking for an experienced Security Architect with strong Application Security expertise who can lead security across a portfolio of complex technology initiatives within BBVA CIB US. This is a hands-on security leadership role combining security architecture, application security and project security management. The successful candidate will work with engineering and business teams from early design through production, reviewing solution architectures, identifying security risks, defining security requirements and ensuring agreed controls are implemented. The role requires someone who can manage multiple initiatives simultaneously, prioritize security activities based on risk, and independently drive projects through the security lifecycle while partnering with Corporate Security Architecture, Engineering, Application Development, Infrastructure, Cloud, Risk and business stakeholders. Key Responsibilities • Perform security architecture reviews and threat modeling for applications, APIs, cloud services, infrastructure and third-party solutions., • Evaluate architecture patterns covering authentication and authorization, IAM, encryption, secrets/key management, APIs, network segmentation, data protection, cloud security and secure integration patterns, • Validate that approved architecture and security controls have been implemented as designed before production deployment., • Own the security workstream for multiple concurrent technology initiatives, establishing security deliverables, dependencies, priorities and milestones and proactively driving them to completion., • Manage a portfolio of security engagements simultaneously, prioritizing activities based on business criticality, architecture complexity, security risk and delivery timelines., • Identify security-related project risks and dependencies early, escalate blockers when necessary, and ensure security activities do not become a late-stage impediment to delivery., • Participate in project governance meetings and provide security guidance to project teams., • Review Security Models produced by Corporate Security Architecture., • Assess proposed architectures for alignment with BBVA security standards and U.S. regulatory requirements., • Provide delegated Security Architecture and Application Security support for local initiatives., • Identify security gaps and recommend compensating controls where appropriate., • Review initiatives that may fall outside the standard lifecycle process, including third-party platforms, trading venues, and standalone SaaS solutions., • Validate that approved security controls are implemented as designed prior to production deployment., • Serve as the primary security advisor for assigned projects., • Collaborate with Corporate Security Architecture, Enterprise Architecture, Technology Engineering, Application Development, Infrastructure, Risk, Compliance, and business stakeholders. Qualifications and Experience • Bachelor's degree in Information Security, Computer Science, Information Technology, Engineering, or related field (or equivalent experience)., • 10+ years of experience in Information Security, Security Architecture, Application Security, Infrastructure Security, or Cybersecurity Engineering., • Experience participating in technology projects and implementing security controls., • Strong understanding of network security, cloud security, identity and access management, application security, and infrastructure security., • Experience performing security risk assessments and architecture reviews., • Familiarity with financial services security requirements and regulatory expectations., • Excellent written and verbal communication skills., • Ability to influence cross-functional teams without direct authority., • Experience in banking or financial services., • Knowledge of cybersecurity and regulatory frameworks including NIST Cybersecurity Framework (NIST CSF), NIST 800-53, ISO 27001, CIS Controls, New York DFS Cybersecurity Regulation (23 NYCRR Part 500), SEC cybersecurity requirements, NFA cybersecurity requirements, FFIEC Guidelines, EU DORA (Digital Operational Resilience Act), SWIFT Customer Security Controls Framework (CSCF), FedLine security requirements, CHIPS-related security requirements, and CRI Profile, or similar frameworks., • Experience reviewing cloud architectures (Azure, AWS, or GCP)., • Knowledge of AI security, third-party risk, and secure software development practices., • Professional certifications such as CISSP, CCSP, GCSA, CCSK, CSSLP, SANS certifications (GWEB) and others., • Strong competencies in Security Architecture, Project Security Governance, Risk Assessment, Application Security, Infrastructure Security, Cloud Security, Regulatory Compliance, Security Control Validation, Stakeholder Management, Analytical Thinking, Problem Solving, and Communication & Collaboration, • Spanish proficiency is a plus All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected base salary ranges from $185,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

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. Role Description As a Software Engineer Intern at Meridian, you will work full time on-site in New York, NY, collaborating closely with engineers and product team members to build and improve AI-driven software. Your day-to-day tasks will include implementing and testing backend features, writing clean and maintainable code, and contributing to the design of services and APIs. You will help debug issues, review code, and participate in stand-ups and technical discussions to ensure reliable and scalable systems. The role also involves learning and applying best practices in software engineering, documenting your work, and supporting integration of your features into production environments under guidance from senior engineers. Qualifications • Strong foundation in Computer Science, including data structures, algorithms, and basic systems concepts., • Experience or coursework in Software Development and Programming using at least one modern language (e.g., Python, Java, Go, or similar)., • Knowledge of Object-Oriented Programming (OOP) principles and ability to apply them to real-world problems., • Exposure to Back-End Web Development, such as building APIs, working with databases, or integrating services., • Currently pursuing a degree in Computer Science, Software Engineering, or a related technical field., • Ability to work on-site in New York, NY and collaborate effectively in a team-focused environment., • Comfort with learning new tools and frameworks, and openness to feedback and code review., • Strong problem-solving skills, attention to detail, and clear written and verbal communication., • Interest in AI-driven products or experience with machine learning concepts is a plus.

We are the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. Join us to challenge yourself with work that matters. We trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Our products help professionals all over the world stay connected, informed, and productive. The LinkedIn ecosystem is about more than just job hunting. We create and support active communities and enterprise products around sales, marketing, learning, and recruiting. Why join the Product Design team? Designers are strategic partners, from product innovation and planning to launch Work and learn with passionate, talented, and supportive people We work on both consumer and enterprise products and encourage team rotation, so you can stay engaged and keep growing We're equipped with the best design tools in the business, including Figma, Principle, and Miro A trusting, open environment helps us do our best work and we have fun together! We're looking for designers who lead by connecting the dots between user insights, design patterns, and business goals. You will partner and collaborate closely with user research, UX writing, product management, engineering, marketing, and data science. The ideal candidate is also comfortable incorporating motion design and animation into product experiences to enhance interactions, usability, and storytelling. Designing for the world's workforce takes a diverse, empowered team. Come be a part of ours. Responsibilities • Effectively communicate conceptual ideas, design rationale and the specifics of user-centered design process, • Create holistic design solutions that address business, brand, and user requirements, • Work with web developers and engineers to deliver final products Application Requirements • To be considered for this position, you must include your portfolio, website or other samples of work. Basic Qualifications • BA/BS degree in graphic design, design communication, human-computer interaction, or related field or equivalent combination of education and experience, • Experience participating in the complete product development lifecycle of web and/or software applications, • 3+ years of experience in user experience design or industry experience (corporate, software, web or agency) Preferred Qualifications • Ability to deliver small to medium-scale projects independently and/or owning components of larger projects with support from senior ICs and Managers, • Ability to influence decisions on assigned projects by actively engaging and adding value in team discussions, • Ability to deliver solutions for structured problems that have few dependencies on other products/teams, • Ability to create solutions that consider end-to-end user flows and impacts on adjacent experiences, • Identifies opportunities to extend the design system language Areas of Expertise • Animation: 4-6 years of Experience, • Design: 4-6 years of Experience Suggested Skills • Product / UX Design, • Cross-Functional Collaboration, • Design Systems

About Eleven Recruiting We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for the best pay, diversity in tech, and the best job fit for every candidate we place. Our client, a leading investment firm, is seeking a Senior Identity and Access Management Engineer to join their team in New York, NY! The ideal candidate will be expected to be an expert in the firm's Identity as a Service platform, driving internal changes to their implementations. Responsibilities • Work effectively across multiple environments that each have their own unique processes and procedures., • Develop the technical NHI/AI security architecture., • Build and operate the systems that discover, inventory, authenticate, and enforce least privilege for non-human identities across the enterprise., • Partner with engineering and platform teams to embed NHI security practices into their workflows., • Own the end-to-end design and governance of Joiner/Mover/Leaver (JML) workflows across the firm and its entities., • Define RBAC/ABAC entitlement models in a way that balances least-privilege with user experience., • Build upon the existing Identity as a Service platform to improve the end-user experience, • Proactively partner with various engineering and platform teams to understand pain points, and propose solutions to those problems., • Serve as the internal subject matter expert for IAM., • Onboard new applications to the firm’s SSO solutions., • Maintain documentation for IAM processes. Qualifications • Deep understanding of Identity related risks and controls., • Experience with working across multiple IDPs (Org2org, federation, CIAM/Workforce, etc.)., • Experience with Terraform., • Deep understanding of SSO related technologies such as SAML, OIDC, SCIM, JIT., • Deep understanding of identity lifecycle management., • Experience with SQL and scripting (Python, Powershell, etc.)., • Experience with Okta Workflows., • Bachelor's Degree in Computer Science, Information Technology or related field., • 7-10 years of experience in IAM or other Cybersecurity related fields., • Results oriented and the ability to manage multiple tasks and deadlines with attention to detail., • Strong communication and self-management skills. Pay Rate: $80 - $120/hr Your safety matters to us. To protect yourself from potential scams, remember that Eleven recruiters only contact you from @elevenrecruiting.com email addresses. Be cautious of emails from other domains. Legitimate Eleven recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit _directly for confirmed position openings.

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

JR ID: JR1044328 We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,500+, and has 58 offices in 20 countries within key global markets. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within NYC, NY is $115K - $120K/year & benefits (see below). Job Summary We are seeking a highly skilled .NET Core Developer with Angular expertise to design, develop, and maintain scalable web applications. The ideal candidate should have strong experience in Microsoft .NET technologies, Angular framework, RESTful APIs, Microservices architecture, and Cloud platforms. The role requires collaboration with cross-functional teams to deliver high-quality enterprise applications. Key Responsibilities • Design, develop, test, and deploy scalable applications using .NET Core and Angular., • Build and maintain RESTful APIs and backend services., • Develop responsive and user-friendly UI components using Angular., • Implement Microservices architecture and distributed systems., • Collaborate with business analysts, architects, and stakeholders to understand requirements., • Write clean, maintainable, and reusable code following best practices., • Perform code reviews and ensure adherence to coding standards., • Troubleshoot, debug, and resolve application issues., • Contribute to CI/CD pipeline implementation and DevOps practices., • Participate in Agile/Scrum ceremonies and sprint planning activities. Required Technical Skills Backend • C#, • ASP.NET Core, • .NET Core / .NET 6+, • Entity Framework Core, • Web API / REST Services, • LINQ Frontend • Angular (v12+ preferred), • TypeScript, • JavaScript, • HTML5, • CSS3 / Bootstrap Database • SQL Server, • Stored Procedures, • Query Optimization Architecture & Tools • Microservices, • Design Patterns, • Dependency Injection, • Swagger/OpenAPI, • Git / Azure DevOps Cloud & DevOps • Azure (App Services, Functions, Storage, Key Vault), • CI/CD Pipelines, • Docker (preferred), • Kubernetes (good to have) Required Qualifications • Bachelor's or Master's degree in Computer Science, Information Technology, or related field., • Experience in application development using .NET technologies., • Strong experience with Angular application development., • Hands-on experience with REST API design and implementation., • Experience working in Agile development environments., • Strong problem-solving and analytical skills. Preferred Skills • Azure Cloud certifications., • Experience with Messaging Systems (Kafka, RabbitMQ, Azure Service Bus)., • Knowledge of Security best practices, OAuth 2.0, JWT authentication., • Exposure to performance tuning and application monitoring tools., • Experience in Banking, Financial Services, Healthcare, or Retail domains. Key Competencies • Strong communication and stakeholder management skills., • Ability to work independently and in a team-oriented environment., • Excellent debugging and troubleshooting abilities., • Focus on quality, performance, and scalability. We can offer you: • A highly competitive compensation and benefits package, • A multinational organization with 58 offices in 20 countries and the possibility to work abroad, • Laptop and a mobile phone, • 10 days of paid annual leave (plus sick leave and national holidays), • Maternity & Paternity leave plans, • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region), • Retirement savings plans, • A higher education certification policy, • Commuter benefits (varies by region), • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses, • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups, • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms, • A flat and approachable organization, • A truly diverse, fun-loving and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Solutions Architect (Healthcare Payer Solutions) Remote Salary: $200,000-250,000 Position Summary We are seeking an experienced Solutions Architect to serve as a key technical leader responsible for designing, integrating, and supporting solutions for healthcare payer clients. This role requires a unique balance of hands-on technical expertise and customer-facing consulting, with approximately 50% of the role focused on solution architecture, integration development, and technical problem-solving, and 50% focused on client engagement, requirements gathering, and solution advisory activities. The ideal candidate will bring deep experience within the health insurance payer industry and possess a strong understanding of enterprise integrations, identity and access management, Single Sign-On (SSO), and healthcare technology ecosystems. This individual will act as the bridge between customers, implementation teams, product management, and engineering to ensure successful solution delivery and adoption. Key Responsibilities Solution Architecture & Customer Engagement • Serve as the technical lead and trusted advisor for healthcare payer clients., • Partner with customers to understand business objectives, technical requirements, and operational workflows., • Design end-to-end solution architectures that align with client and organizational goals., • Lead technical discovery sessions, architecture reviews, and integration workshops., • Communicate complex technical concepts to both technical and non-technical stakeholders., • Support implementation planning and provide guidance throughout the customer lifecycle., • Collaborate with Sales, Product, Customer Success, and Engineering teams to ensure successful client outcomes. Integration & Technical Delivery • Design, develop, and support integrations between the company's platform and third-party systems., • Lead technical discussions regarding integrations with identity management solutions such as Ping Identity and other authentication platforms., • Architect and support Single Sign-On (SSO) implementations using SAML, OAuth, OpenID Connect, and related technologies., • Provide hands-on support for API integrations, data exchange workflows, and system interoperability., • Troubleshoot complex integration and implementation challenges., • Develop technical documentation, architecture diagrams, integration specifications, and implementation guides., • Work closely with Engineering teams to identify product enhancements and improve integration capabilities. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience., • 5+ years of experience in Solutions Architecture, Solutions Engineering, Integration Engineering, Technical Consulting, or similar client-facing technical roles., • Direct experience working within or supporting health insurance payer organizations., • Strong understanding of payer operations, healthcare technology environments, and enterprise application ecosystems., • Experience designing and implementing enterprise integrations and API-based solutions., • Hands-on expertise with SSO technologies, including SAML, OAuth, OpenID Connect, and federation protocols., • Experience with Ping Identity or similar Identity and Access Management (IAM) platforms. Preferred Qualifications • Experience supporting healthcare SaaS platforms., • Familiarity with healthcare data exchange standards and interoperability frameworks., • Knowledge of claims, enrollment, care management, provider, and member systems., • Experience with cloud-based architectures and modern integration patterns., • Prior experience working in Professional Services, Customer Success, or Implementation organizations.

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

Role: WebSphere Administrator Location: New York New York (Hybrid) Direct Hire Salary: 145K per Annum Overview: A public sector client of ours in NYC is looking for a seasoned WebSphere Administrator to support critical HR functions and production maintenance. This position is a full-time, W2 role with their company based in the Manhattan area. The WebSphere Administrator will support ongoing production maintenance and phased rollout implementation of the HR, Benefits, and Timekeeping functions within the organization’s HR/Payroll systems. This role is responsible for the installation, maintenance, configuration, administration, and troubleshooting of middleware infrastructure supporting critical citywide applications. The WebSphere Administrator will serve as a technical administrator for middleware platforms, including IBM WebSphere, IBM MQ, and Cognos. This individual will work with application teams, infrastructure teams, technical administrators, and project stakeholders to support application deployments, upgrades, patching, automation, configuration management, production operations, and issue resolution. This position requires strong middleware administration experience, hands-on expertise with IBM WebSphere Application Server Traditional and WebSphere Liberty, and the ability to work independently, prioritize competing tasks, and meet project deadlines in a large-scale enterprise environment. Key Responsibilities Middleware Administration & Production Support • Install, configure, maintain, and support middleware infrastructure, including IBM WebSphere, IBM MQ, and Cognos., • Administer IBM WebSphere Application Server Traditional (tWAS) and WebSphere Liberty on Linux or UNIX-based platforms., • Support middleware infrastructure for critical citywide HR, Benefits, Timekeeping, and HR/Payroll applications., • Manage WebSphere Liberty server configurations, including server.xml, bootstrap.properties, and jvm.options., • Perform middleware application upgrades, patch installations, and related maintenance activities., • Support production maintenance and phased rollout implementation activities for HR/Payroll systems. Automation, DevOps & Configuration Management • Use Git for source control and configuration management., • Use Ansible for middleware administration, automation, configuration management, and application deployments., • Support configuration management standards and repeatable deployment processes., • Collaborate with technical teams to improve automation, consistency, and efficiency across middleware environments., • Support DevOps practices and CI/CD processes where applicable. Application Deployment & Technical Support • Work with application, infrastructure, and project teams to support middleware-related application deployments., • Troubleshoot and resolve middleware issues across production and non-production environments., • Understand, analyze, and debug Java errors related to middleware and application behavior., • Perform detailed root cause analysis for complex technical problems., • Clearly document symptoms, troubleshooting steps, resolutions, and technical recommendations., • Work quickly to learn new applications and resolve issues efficiently. Systems Integration & Enterprise Support • Administer and support associated middleware products, including IBM MQ, IBM HTTP Server, IBM WebSphere Message Broker, Oracle WebLogic, and Cognos., • Support integrations and middleware dependencies across enterprise applications., • Apply understanding of relational database concepts and SQL when troubleshooting application or middleware issues., • Collaborate with cross-functional teams in an enterprise-wide, large-scale environment., • Ensure middleware solutions support application availability, performance, reliability, and operational needs. Planning, Documentation & Communication • Plan work, manage time according to schedules, and provide status updates as required., • Prioritize tasks effectively to meet project deadlines and production support needs., • Create and maintain clear technical documentation, procedures, and issue-resolution notes., • Communicate technical problems and solutions clearly to technical and non-technical stakeholders., • Work independently while maintaining strong collaboration with team members and project stakeholders. NOTE: Candidates who don't meet the required qualifications for this role will NOT be considered at this time. Required Qualifications • Bachelor’s degree from an accredited college in Computer Science, Engineering, or a related field., • Five (5) or more years of middleware administration experience., • Experience administering IBM WebSphere Application Server Traditional (tWAS) on Linux or UNIX-based platforms., • Experience administering WebSphere Liberty on Linux or UNIX-based platforms., • Experience managing WebSphere Liberty server configurations, including server.xml, bootstrap.properties, and jvm.options., • Experience using Git for source control and configuration management., • Experience using Ansible for middleware administration, automation, configuration management, and application deployments., • Experience administering associated middleware products such as IBM MQ, IBM HTTP Server, IBM WebSphere Message Broker, Oracle WebLogic, and Cognos., • Experience performing middleware application upgrades and patch installations., • Experience understanding and debugging Java errors., • Good understanding of relational database concepts., • Experience using SQL., • Previous experience working in an enterprise-wide, large-scale environment., • Ability to support 24x7 operations and work nights or weekends as required., • Ability to perform detailed root cause analysis of technical problems., • Ability to plan work, manage time according to schedules, and provide status updates when required., • Ability to quickly learn new applications and resolve issues., • Ability to clearly document and explain symptoms and solutions for complex problems., • Excellent analytical and problem-solving skills., • Strong interpersonal skills with the ability to work well in a team environment., • Self-motivated with the ability to independently research issues and identify solutions., • Excellent oral and written communication skills., • Strong organizational skills. Preferred Qualifications • Experience with Jenkins, CloudBees, or similar CI/CD tools., • Experience with Configuration as Code., • Experience with DevOps methodologies., • Experience supporting HR, Benefits, Timekeeping, Payroll, or similar enterprise business applications., • Experience supporting middleware platforms for critical public sector, municipal, or citywide applications., • Experience working in environments with formal release management, change control, and production deployment processes. About Seneca Resources: Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Reston, Virginia, Alabama and Columbia, Maryland that service clients throughout the United States. The key to our success lies within our strong corporate culture which drives our business. We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement. In turn, we look for only the best and brightest to join our team. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.

We are partnered with a leading quantitative trading firm looking to hire experienced C++ Software Engineers to work on highly performant, latency-sensitive systems supporting its global trading environment. This is a core engineering role for someone who enjoys working close to the system level and solving challenging problems across C++, Linux, networking, CPU performance, and distributed systems. What You’ll Work On: • Building and optimizing high-performance C++ systems, • Developing low-latency market data, execution, and trading infrastructure, • Profiling and optimizing production code for latency and throughput, • Designing reliable, fault-tolerant distributed systems, • Working with Linux, networking, and performance-critical systems, • Improving system and processor-level performance, • Building scalable infrastructure supporting technical and research workflows Engineers have significant ownership and work closely with other highly technical teams to design, build, optimize, and troubleshoot production systems. What They’re Looking For • 2+ years of professional software engineering experience, • Strong professional experience with modern C++, • Strong understanding of computer science and software engineering fundamentals, • Experience working in Linux/UNIX environments, • Knowledge of systems performance, networking, concurrency, or distributed systems, • Strong debugging and problem-solving ability, • Ability to reason about software at both the architectural and implementation level, • Interest in performance optimization and technically challenging systems The Opportunity You’ll join an engineering-driven environment where software performance has a direct and measurable impact. The problems span everything from application-level architecture down to operating systems, networking, CPU behavior, and hardware interaction.

What You’ll Do • Design and build responsive frontend components using TypeScript and Vue., • Develop reliable backend services and APIs using Python., • Create catalogs and registries for prompts, agents, skills, and MCP tools., • Improve registry APIs that support engineering teams and AI-powered products., • Lead features through the complete development lifecycle—from design and architecture to deployment, documentation, user support, and iteration., • Contribute to scalable, fault-tolerant, and distributed system designs., • Integrate applications with platforms and services such as PostgreSQL, Redis, S3, Kafka, RabbitMQ, AWS, and Databricks., • Clearly present technical solutions, progress, and outcomes to engineering, product, and user-facing stakeholders. Required Qualifications • At least four years of experience building production-ready frontend applications using Vue or TypeScript., • Strong backend development experience using Python., • Experience working with relational databases and writing SQL., • Demonstrated contributions to system design and software architecture., • Understanding of scalable, fault-tolerant, and distributed systems., • Ability to independently lead features from initial design through production deployment., • Strong communication and collaboration skills., • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, a related discipline, or equivalent professional experience. Preferred Qualifications • Experience developing AI, LLM, prompt engineering, or agentic workflow platforms., • Familiarity with PostgreSQL, Redis, and S3., • Experience with Kafka, RabbitMQ, or other messaging technologies., • Exposure to AWS, Databricks, or enterprise data platforms., • Familiarity with NumPy, Pandas, Scikit-learn, NLTK, or Dask., • Experience designing APIs, registries, catalogs, or developer platforms., • Ability to translate complex technical capabilities into intuitive experiences for non-technical users.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,700+, and has 57 offices in 22 countries within key global markets. Our challenge We are seeking a skilled AI/ML Developer with a strong background in advanced Python programming and expertise in various AI frameworks and models. The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a combination of technical ability, creativity, and a passion for innovation in the AI domain. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Jersey City, NJ is $100k - $110k/year & benefits (see below). The Role Responsibilities: • Develop, test, and deploy advanced AI/ML models and algorithms using Python., • Design and implement prompt engineering techniques to optimize model responses and performance., • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows., • Utilize AI agentic frameworks to create intelligent systems capable of autonomous decision-making., • Work with large language models (LLMs) to develop applications that understand and generate human-like text., • Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs., • Manage and optimize vector databases for efficient storage and retrieval of data used in AI applications., • Conduct research and stay up-to-date with the latest advancements in AI/ML technologies and methodologies., • Document processes, models, and methodologies for future reference and knowledge sharing. Requirements: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field., • Proven experience in advanced Python programming, with a strong understanding of data structures and algorithms., • Demonstrated expertise in prompt engineering and its application within AI models., • Familiarity with AI agentic frameworks and their implementation in real-world applications., • Experience working with large language models (LLMs) and understanding their architecture and functionalities., • Knowledge of retrieval-augmented generation (RAG) techniques and vector databases., • Ability to work effectively in a collaborative environment and communicate complex concepts to non-technical stakeholders., • Strong analytical and problem-solving skills with a focus on delivering high-quality results. Preferred, but not required: • Experience with frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face., • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services., • Knowledge of data preprocessing and data engineering practices. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Client Overview Our client is a nonprofit, nonpartisan organization dedicated to defending civil rights and civil liberties. The organization works across the courts, statehouses, Congress, and communities to address significant challenges involving constitutional rights and liberties. Employees have the opportunity to contribute to a mission-driven environment while supporting technology that enables teams across the organization to do their work effectively. Our client is seeking a hands-on Digital Experience Engineer to serve as the technical bridge between Endpoint Engineering and the Service Desk. Salary/Hourly Rate $40/hr - $45/hr Position Overview The Digital Experience Engineer will own the complete troubleshooting path, from what an end user experiences on their device through the underlying Microsoft services and infrastructure. Supporting approximately 800 to 3,000 users across onsite and remote environments, the Digital Experience Engineer will handle complex Tier 3 - 4 issues involving Windows and Mac devices, hardware, operating systems, applications, network connectivity, Microsoft 365, Azure, and Entra. This role goes beyond quick fixes, requiring strong root-cause analysis and the ability to identify recurring issues, investigate backend problems, and implement long-term solutions. The Digital Experience Engineer will use Digital Employee Experience tools such as NextThink and ControlUp to identify trends, improve fleet health, and enhance the overall end-user experience. This is an excellent opportunity for a Microsoft-focused engineer who enjoys solving complex problems, improving support processes, and mentoring a broader support organization. Responsibilities Of The Digital Experience Engineer • Provide Tier 3 - 4 technical support across Windows and Mac environments., • Troubleshoot issues from the end-user device through the Microsoft backend., • Perform detailed root-cause analysis rather than relying on surface-level fixes., • Diagnose hardware configuration, operating system performance, application, and connectivity issues., • Troubleshoot Microsoft 365, Azure, Entra, and related service-side issues., • Use NextThink and ControlUp to monitor, investigate, and resolve Digital Employee Experience issues., • Analyze ticket history and recurring incident patterns to identify systemic problems., • Investigate recurring issues such as Microsoft Teams call-quality failures., • Develop and implement long-term solutions to recurring technical problems., • Partner closely with Endpoint Engineering and Service Desk teams., • Help improve overall endpoint and fleet health., • Support approximately 50 - 60 tickets per week in a fast-paced environment., • Identify opportunities to improve troubleshooting processes and support capabilities., • Share technical knowledge and help increase the capabilities of a nine-person support team., • Provide hands-on engineering support across the organization's endpoint environment. Required Experience/Skills For The Digital Experience Engineer • 7+ years of IT support experience., • Strong Windows and Mac troubleshooting experience., • Demonstrated ability to perform deep root-cause analysis., • Experience troubleshooting issues from the endpoint through backend services., • Strong endpoint engineering and endpoint management experience., • Experience with NextThink and/or ControlUp., • Experience with Digital Employee Experience tools., • Strong Microsoft ecosystem experience, including Microsoft 365, Azure, and Entra., • Experience supporting both hardware and software., • Strong understanding of operating systems, applications, networking, and endpoint environments., • Ability to troubleshoot complex Tier 3 - 4 technical issues independently., • Strong analytical and problem-solving skills., • Ability to identify recurring issues and develop sustainable solutions. Preferred Experience/Skills For The Digital Experience Engineer • Experience supporting 800 to 3,000 users., • Experience handling high ticket volumes in a fast-paced environment., • Experience supporting Microsoft Teams and troubleshooting call-quality issues., • Experience working closely with Endpoint Engineering and Service Desk teams., • Experience using endpoint analytics to identify trends and improve fleet health., • Strong communication and knowledge-sharing skills., • Experience mentoring or providing technical guidance to support teams., • Ability to work effectively in a fully onsite environment. Education Requirements • Degree in Information Technology, Computer Science, or a related field is preferred., • Equivalent professional IT experience may be considered. Benefits • Temporary 3-month assignment with likely extension., • Potential opportunity for conversion to a full-time position., • Mission-driven work environment., • Opportunity to work with modern Digital Employee Experience and Microsoft technologies., • Hands-on exposure to enterprise endpoint engineering and infrastructure troubleshooting., • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off).

Official Title: Senior Product Manager, Enterprise AI Platform Location: Hybrid, Midtown Manhattan, New York City Office expectation: Two to three days per week The Opportunity: Zaddy Solutions is leading the search for a Senior Product Manager on behalf of an established B2B software company with a AI software product line. The platform helps organizations manage how AI agents connect to business systems, tools, and data. It addresses areas such as authentication, permissions, system visibility, policy enforcement, auditability, and sensitive-data protection. This is a hands-on senior individual-contributor position with meaningful ownership over how the product develops and reaches the market. You will work closely with AI leadership, engineering, product design, customers, and go-to-market teams to turn technical capabilities and customer needs into a clear roadmap and shipped product improvements. The product and category are still developing. You will not inherit a mature playbook, extensive documentation, or a large product organization. You will help create the structure, priorities, customer-feedback loops, and operating rhythm needed to move the product forward. Previous ownership of a commercial Model Context Protocol product is not required. We are interested in candidates with relevant technical foundations who have built with modern AI systems and can quickly develop deeper expertise. Experience building, configuring, or experimenting with Model Context Protocol servers is strongly preferred, including professional projects, prototypes, open-source work, or credible independent development. What You Will Own: • Own and maintain the product roadmap, backlog, and prioritization process, • Translate customer problems and business objectives into clear requirements and acceptance criteria, • Partner closely with engineering and design from discovery through launch and iteration, • Interview customers, prospects, partners, and internal stakeholders to understand workflows and unmet needs, • Use product data, customer feedback, and market signals to guide decisions, • Define success metrics related to adoption, usage, reliability, customer value, and commercial performance, • Evaluate tradeoffs involving speed, complexity, usability, security, and business impact, • Support product launches in partnership with Sales, Marketing, and Customer Success, • Help connect the product to the company’s broader technology and data-governance strategy, • Establish lightweight, repeatable product-management practices without creating unnecessary process, • Participate in selected customer, partner, and industry conversations as a product expert What Success Looks Like in Your First Year: • Develop a strong understanding of the product’s architecture, capabilities, users, market position, and commercial potential, • Build effective working relationships across engineering, design, go-to-market, and company leadership, • Own a clear, evidence-based roadmap informed by customer feedback, usage data, technical priorities, and business goals, • Establish repeatable practices for discovery, prioritization, delivery, release management, and performance measurement, • Ship meaningful product improvements that strengthen usability, reliability, adoption, and customer value, • Position the product effectively within the company’s broader portfolio and go-to-market strategy, • Become a trusted internal authority who gives product, engineering, design, and commercial teams the clarity needed to execute What You Bring: • Approximately five or more years of product-management experience, • Meaningful ownership of an externally sold B2B SaaS product, • Experience taking products or major features from discovery through launch and iteration, • Experience working closely with engineering and design teams in a startup, growth-stage company, or similarly fast-moving environment, • Hands-on exposure to AI or LLM-powered products, including agents, tool calling, workflow automation, integrations, or retrieval, • Working knowledge of APIs, authentication, permissions, data flows, system integrations, and technical failure modes, • The ability to understand technical architecture and make informed product tradeoffs with engineers, • Experience collecting customer feedback and converting it into product priorities, • Strong quantitative reasoning and the ability to use data to evaluate product performance, • Clear writing, thoughtful communication, and sound decision-making, • The ability to move from an unclear problem to a practical recommendation without excessive process, • Comfort operating as a senior individual contributor without a large support structure, • Eligibility to work in the United States Particularly Relevant Experience in One or More of the Following Areas Would Be Especially Valuable: • Model Context Protocol, • AI agents and agent orchestration, • Developer platforms or developer tools, • API management and enterprise integrations, • Identity, authentication, or access management, • Data infrastructure, observability, or governance, • Enterprise security or privacy technology, • Workflow automation, • Zero-to-one product development Education: • A bachelor’s degree or equivalent practical experience is required., • A degree in computer science, engineering, information systems, human-computer interaction, design, business, or another analytical field may be helpful, but a specific degree or advanced degree is not required., • Demonstrated product judgment, technical fluency, and shipped work will carry more weight than academic pedigree. This Role May Not Be the Right Fit If: • Your experience is primarily limited to internal tools rather than commercially sold software, • You have advised on AI strategy but have not helped ship AI-enabled products, • You are primarily interested in managing people rather than personally owning product execution, • You require mature processes, extensive documentation, or a large product organization, • You are uncomfortable working directly with engineers on APIs, integrations, authentication, and system behavior, • You cannot work from the company’s Midtown Manhattan office two to three days per week Benefits include: • Employer-supported 401(k) plan, • 100% employee health-insurance coverage, • Paid vacation, • Hybrid workplace, • Professional-development opportunities, • Team events and company gatherings, • Flexible working practices, • Additional employee benefits and office amenities Why Consider This Opportunity? • Take meaningful ownership of a new product in an emerging enterprise technology category, • Work directly with the people responsible for the product’s original vision and development, • Help define how organizations securely connect AI agents to business systems, • Influence product strategy, customer adoption, and commercial direction, • Operate with early-stage ownership while benefiting from the resources of an established global company, • Join a collaborative team working across AI, security, privacy, and responsible data use If you are excited about the opportunity but do not meet every preferred qualification, we still encourage you to apply. We are looking for evidence of product ownership, technical curiosity, learning agility, and the ability to build effectively in an emerging market. Zaddy Solutions will conduct the initial evaluation and screening process. Additional information about the company and product will be shared with qualified candidates as they progress.

Senior Machine Learning Engineer (Generative AI) Location: Hybrid – Newark, NJ Employment Type: Right to Hire (Contract-to-Hire) Pay Rate: $70–$85/hr Position Overview We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments, ensuring our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. This is a right-to-hire position requiring permanent U.S. work authorization Sponsorship is not available. Recent MS or PhD graduates are encouraged to apply. Key Responsibilities • Deploy, monitor, and maintain GenAI models in production, ensuring reliable performance in real-world settings, • Build and maintain efficient data pipelines and storage solutions that support model operations, • Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation), • Develop CI/CD pipelines, manage version control (Git), and automate deployment processes, • Implement secure coding practices, authentication, authorization, and robust monitoring and alerting for infrastructure and model performance, • Apply deep expertise in LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized GenAI infrastructure, • Apply advanced techniques such as Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems, • Design and develop agent and multi-agent systems using frameworks like LangChain, enabling interaction with external APIs and tools, • Implement strategies to manage and reduce operational costs associated with GenAI deployments Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred, • 5+ years of experience as a machine learning engineer deploying models in production, • Strong proficiency in Python and software engineering principles, • Solid understanding of machine learning fundamentals and model lifecycle management, • Experience with cloud platforms, containerization, and infrastructure management, • Familiarity with DevOps practices and automation tools, • Expertise in GenAI frameworks, prompt engineering, and model serving, • Ability to manage GPU/TPU resources and optimize model serving frameworks, • Experience developing agentic systems and multi-agent architectures, • Proven track record of cost optimization in AI deployments, • Comfortable working in a fast-paced environment as an independent contributor

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