Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: Pennington, NJ / Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: Pennington: NJ2-150-04-71 -BR $96.92 (Pay Rate: $68.25) Jersey City: NJ2-525-31-02 -BR $96.92 (Pay Rate: $68.25) Charlotte: NC1-021-03-13 BR $ 92.39 (Pay Rate: $65.06) Job ID: 412171 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases. Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives. Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation to improve end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments. Conduct research and prototyping to identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions. Required Skills & Qualifications: 7+ years of Python development, including production-grade services and tooling. Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG). FastAPI or similar Python web frameworks for building APIs and microservices. Extensive experience designing and implementing multi-tier and microservices application platforms. Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams. Track record of delivering projects on time and on budget. High proficiency in Unix scripting and automation for SDLC efficiencies. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions in enterprise environments. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet a defined start date. Please account for any potential visa-related delays before submission. Schedule: 8 hours per day. Labor Type: Technical. Assessment: GLIDER - BOA-AppProg-IV-V-3 may apply. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Ensure your preferred approved location is listed at the top of your resume.
11/14/2026
Full time
Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: Pennington, NJ / Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: Pennington: NJ2-150-04-71 -BR $96.92 (Pay Rate: $68.25) Jersey City: NJ2-525-31-02 -BR $96.92 (Pay Rate: $68.25) Charlotte: NC1-021-03-13 BR $ 92.39 (Pay Rate: $65.06) Job ID: 412171 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases. Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives. Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation to improve end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments. Conduct research and prototyping to identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions. Required Skills & Qualifications: 7+ years of Python development, including production-grade services and tooling. Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG). FastAPI or similar Python web frameworks for building APIs and microservices. Extensive experience designing and implementing multi-tier and microservices application platforms. Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams. Track record of delivering projects on time and on budget. High proficiency in Unix scripting and automation for SDLC efficiencies. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions in enterprise environments. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet a defined start date. Please account for any potential visa-related delays before submission. Schedule: 8 hours per day. Labor Type: Technical. Assessment: GLIDER - BOA-AppProg-IV-V-3 may apply. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Ensure your preferred approved location is listed at the top of your resume.
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
11/13/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: New York, NY or Jersey City, NJ Duration: Contract - 12 months Pay Range: NY, NY - BR $ 101.66 (Pay Rate: $71.59) Jersey City: NJ - BR $96.92 (Pay Rate: $68.25) Job ID: 412172 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to lead the end-to-end design and implementation of a new GenAI platform and its business use cases. The ideal candidate will have strong experience in Python, LLMs, and modern application architectures and a proven ability to deliver scalable, resilient platforms that meet performance and regulatory requirements. A start date within 2-4 weeks of offer will be required due to business needs. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and business use cases. Develop architectural approaches for AI software and hardware integration with focus on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill objectives. Lead cross-disciplinary teams to deliver solutions aligned with priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation for end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform needs. Conduct research and prototyping to evaluate and identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to inform continuous improvement. Required Skills & Qualifications: 7+ years of hands-on Python development, including Unix scripting. Experience with Large Language Models (1+ year) and Retrieval Augmented Generation (RAG). Extensive experience designing and implementing multi-tier and microservices-based application platforms. Proficiency with FastAPI for building services and APIs. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks, including HTML, CSS, JavaScript, XML, React, and jQuery. Proven ability to plan and lead delivery for diverse, geographically dispersed teams with on-time, on-budget outcomes. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet the outlined start date. Hours per day: 8. Labor type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Please list your location at the top of your resume for consideration.
11/13/2026
Full time
Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: New York, NY or Jersey City, NJ Duration: Contract - 12 months Pay Range: NY, NY - BR $ 101.66 (Pay Rate: $71.59) Jersey City: NJ - BR $96.92 (Pay Rate: $68.25) Job ID: 412172 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to lead the end-to-end design and implementation of a new GenAI platform and its business use cases. The ideal candidate will have strong experience in Python, LLMs, and modern application architectures and a proven ability to deliver scalable, resilient platforms that meet performance and regulatory requirements. A start date within 2-4 weeks of offer will be required due to business needs. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and business use cases. Develop architectural approaches for AI software and hardware integration with focus on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill objectives. Lead cross-disciplinary teams to deliver solutions aligned with priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation for end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform needs. Conduct research and prototyping to evaluate and identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to inform continuous improvement. Required Skills & Qualifications: 7+ years of hands-on Python development, including Unix scripting. Experience with Large Language Models (1+ year) and Retrieval Augmented Generation (RAG). Extensive experience designing and implementing multi-tier and microservices-based application platforms. Proficiency with FastAPI for building services and APIs. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks, including HTML, CSS, JavaScript, XML, React, and jQuery. Proven ability to plan and lead delivery for diverse, geographically dispersed teams with on-time, on-budget outcomes. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet the outlined start date. Hours per day: 8. Labor type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Please list your location at the top of your resume for consideration.
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Overview: At Visa, we are reimagining the future of global commerce. The Payment Products Development (PPD) Architecture & Consulting team partners with Product, Engineering, and Business leaders to define technology strategy, architect next-generation payment solutions, modernize platforms, and accelerate innovation across Visa's global payment ecosystem. Our team helps shape the technology foundations that power billions of payment interactions worldwide by simplifying complexity, guiding strategic investments, establishing architecture standards, and enabling scalable, resilient, secure, intelligent, and future-ready solutions. As Visa continues its transformation toward open platforms, cloud-native solutions, and AI-powered experiences, our architects play a critical role in defining the technologies that will power the next generation of payments, commerce, and financial services. Role Summary: As a Lead Systems Architect, you will help define the future of how the world moves money. You will work at the intersection of business strategy, emerging technology, AI innovation, and global-scale engineering, influencing some of Visa's most important technology investments. Your work will help shape products and platforms that process billions of transactions, enable new payment experiences, and power commerce across the globe. In this role, you will: Define architecture strategies, target-state architectures, and technology roadmaps for Visa's strategic payment products and platforms. Lead the design of open, scalable, API-first platforms leveraging cloud-native architectures, event-driven systems, reusable services, and modern integration patterns. Partner with Product, Engineering, Operations, and Business leaders to transform bold ideas into scalable, secure, resilient, and high-performing solutions. Lead architecture consulting engagements, providing strategic guidance, impact assessments, architecture reviews, and technology recommendations for critical initiatives. Drive modernization initiatives that evolve legacy platforms into interoperable, cloud-enabled, developer-friendly ecosystems. Architect and enable AI-native platforms and intelligent solutions utilizing GenAI, agentic workflows, retrieval-augmented generation (RAG), orchestration frameworks, and emerging AI capabilities. Leverage AI and automation to improve engineering productivity, operational efficiency, architecture analysis, and customer experiences. Establish architecture standards, reusable patterns, governance frameworks, and engineering best practices that improve quality, consistency, and speed of delivery. Define and execute proof-of-concept initiatives supporting strategic business objectives, platform modernization, and digital transformation programs. Identify opportunities where emerging technologies can improve scalability, resiliency, security, operational efficiency, or customer experience. Establish success criteria, measurable outcomes, and architectural evaluation frameworks for all POCs. Lead end-to-end POC activities including requirements gathering, solution design, implementation, testing, and executive presentation. Evaluate emerging technologies, develop proofs of concept, and influence Visa's long-term technology direction. Mentor engineers and architects while fostering innovation, collaboration, and technical excellence. Projects You Will Be Part Of: Next-generation payment products and platform modernization initiatives. Open systems transformation programs focused on API enablement, interoperability, ecosystem integration, and platform simplification. AI-native and GenAI-enabled solutions that transform how technology teams design, build, test, deploy, and operate software. Cloud, data, API, and platform transformation programs. Strategic architecture roadmaps supporting Visa's global payment ecosystem. Cross-functional consulting engagements driving innovation, simplification, and business agility. Emerging technology initiatives exploring the future of payments, digital commerce, intelligent systems, and financial services. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, OR an equivalent combination of education, training, and work experience. Deep experience designing and evolving large-scale distributed systems, platforms, and enterprise applications in high-availability environments. Strong experience architecting open, API-first, cloud-native systems using industry standards, microservices, event-driven architectures, modern integration patterns, and reusable platform services. Experience in payments, fintech, financial services, commerce, or other highly scaled transaction-processing environments. Experience driving modernization from legacy or tightly coupled systems to scalable, interoperable, and loosely coupled architectures. Demonstrated experience designing, implementing, or enabling AI and GenAI-powered solutions, including intelligent workflows, agentic systems, AI-assisted engineering capabilities, RAG frameworks, or AI-native platform features. Ability to translate business opportunities into practical, scalable technology solutions that deliver measurable customer and business value. Experience defining target-state architectures, technology roadmaps, architecture principles, and engineering standards. Experience influencing technical decisions and collaborating across Product, Engineering, Operations, and executive stakeholders. Strong communication, problem-solving, and relationship-building skills. Passion for innovation, continuous learning, and shaping the future of technology and payments. Preferred Qualifications 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD. 12+ years of progressively responsible experience in software engineering, systems architecture, solution architecture, platform engineering, or related technology disciplines. Experience building cloud-native platforms and leveraging platform engineering practices to improve developer productivity and operational excellence. Experience designing AI-native architectures utilizing foundation models, agent orchestration frameworks, vector databases, RAG architectures, AI observability, model governance, and responsible AI principles. Experience leading enterprise modernization initiatives involving cloud transformation, API enablement, platform simplification, or data architecture evolution. Experience developing technology strategy, innovation roadmaps, or architecture guidance for large-scale product organizations. Passion for mentoring others and building strong engineering and architecture communities. Information for US Applicants For roles located in the US, the estimated salary range for this position is $193,800.00 to $ 310,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
11/11/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Overview: At Visa, we are reimagining the future of global commerce. The Payment Products Development (PPD) Architecture & Consulting team partners with Product, Engineering, and Business leaders to define technology strategy, architect next-generation payment solutions, modernize platforms, and accelerate innovation across Visa's global payment ecosystem. Our team helps shape the technology foundations that power billions of payment interactions worldwide by simplifying complexity, guiding strategic investments, establishing architecture standards, and enabling scalable, resilient, secure, intelligent, and future-ready solutions. As Visa continues its transformation toward open platforms, cloud-native solutions, and AI-powered experiences, our architects play a critical role in defining the technologies that will power the next generation of payments, commerce, and financial services. Role Summary: As a Lead Systems Architect, you will help define the future of how the world moves money. You will work at the intersection of business strategy, emerging technology, AI innovation, and global-scale engineering, influencing some of Visa's most important technology investments. Your work will help shape products and platforms that process billions of transactions, enable new payment experiences, and power commerce across the globe. In this role, you will: Define architecture strategies, target-state architectures, and technology roadmaps for Visa's strategic payment products and platforms. Lead the design of open, scalable, API-first platforms leveraging cloud-native architectures, event-driven systems, reusable services, and modern integration patterns. Partner with Product, Engineering, Operations, and Business leaders to transform bold ideas into scalable, secure, resilient, and high-performing solutions. Lead architecture consulting engagements, providing strategic guidance, impact assessments, architecture reviews, and technology recommendations for critical initiatives. Drive modernization initiatives that evolve legacy platforms into interoperable, cloud-enabled, developer-friendly ecosystems. Architect and enable AI-native platforms and intelligent solutions utilizing GenAI, agentic workflows, retrieval-augmented generation (RAG), orchestration frameworks, and emerging AI capabilities. Leverage AI and automation to improve engineering productivity, operational efficiency, architecture analysis, and customer experiences. Establish architecture standards, reusable patterns, governance frameworks, and engineering best practices that improve quality, consistency, and speed of delivery. Define and execute proof-of-concept initiatives supporting strategic business objectives, platform modernization, and digital transformation programs. Identify opportunities where emerging technologies can improve scalability, resiliency, security, operational efficiency, or customer experience. Establish success criteria, measurable outcomes, and architectural evaluation frameworks for all POCs. Lead end-to-end POC activities including requirements gathering, solution design, implementation, testing, and executive presentation. Evaluate emerging technologies, develop proofs of concept, and influence Visa's long-term technology direction. Mentor engineers and architects while fostering innovation, collaboration, and technical excellence. Projects You Will Be Part Of: Next-generation payment products and platform modernization initiatives. Open systems transformation programs focused on API enablement, interoperability, ecosystem integration, and platform simplification. AI-native and GenAI-enabled solutions that transform how technology teams design, build, test, deploy, and operate software. Cloud, data, API, and platform transformation programs. Strategic architecture roadmaps supporting Visa's global payment ecosystem. Cross-functional consulting engagements driving innovation, simplification, and business agility. Emerging technology initiatives exploring the future of payments, digital commerce, intelligent systems, and financial services. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, OR an equivalent combination of education, training, and work experience. Deep experience designing and evolving large-scale distributed systems, platforms, and enterprise applications in high-availability environments. Strong experience architecting open, API-first, cloud-native systems using industry standards, microservices, event-driven architectures, modern integration patterns, and reusable platform services. Experience in payments, fintech, financial services, commerce, or other highly scaled transaction-processing environments. Experience driving modernization from legacy or tightly coupled systems to scalable, interoperable, and loosely coupled architectures. Demonstrated experience designing, implementing, or enabling AI and GenAI-powered solutions, including intelligent workflows, agentic systems, AI-assisted engineering capabilities, RAG frameworks, or AI-native platform features. Ability to translate business opportunities into practical, scalable technology solutions that deliver measurable customer and business value. Experience defining target-state architectures, technology roadmaps, architecture principles, and engineering standards. Experience influencing technical decisions and collaborating across Product, Engineering, Operations, and executive stakeholders. Strong communication, problem-solving, and relationship-building skills. Passion for innovation, continuous learning, and shaping the future of technology and payments. Preferred Qualifications 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD. 12+ years of progressively responsible experience in software engineering, systems architecture, solution architecture, platform engineering, or related technology disciplines. Experience building cloud-native platforms and leveraging platform engineering practices to improve developer productivity and operational excellence. Experience designing AI-native architectures utilizing foundation models, agent orchestration frameworks, vector databases, RAG architectures, AI observability, model governance, and responsible AI principles. Experience leading enterprise modernization initiatives involving cloud transformation, API enablement, platform simplification, or data architecture evolution. Experience developing technology strategy, innovation roadmaps, or architecture guidance for large-scale product organizations. Passion for mentoring others and building strong engineering and architecture communities. Information for US Applicants For roles located in the US, the estimated salary range for this position is $193,800.00 to $ 310,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us,you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Job Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges at scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, developing, and operating software products and services that help Visa manage a broad portfolio of critical risk programs efficiently at scale. Your work will accelerate Visa business into new markets and sectors and empower and enable multiple productand business groupsacross Visa to deliver innovations faster. Key Responsibilities: Partner with product owners to gather and refine requirements across product teamsto create roadmap, execute and adapt the roadmap in the fast-paced environment. Own Visa's enterprise-wide risk platform that empowers employes to drive organizational and product improvements through collaborative idea sharing and the entire lifecycle from ideation to delivery. Design, implement, and enhance systems and shared technologies end-2-end that enable and improve Visa offerings which touch 40% of the world population while influencing Visa's internal standards for quality, observability, scalability, security, and reusability. Make a difference on a global or local scale through mentorship and continued learning opportunities Use and integrate GenAI and agents in day-to-day activities across SDLC and devops to improve ideation to production delivery cycle time andquality Come up with innovative ideas tointegrate GenAI to enhance and build new product capabilities and agents, and deliver measurable impact to users Drives advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem, and external services Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field.ORBachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field.ORMinimumeleven(11) years of directly related experience. Preferred Qualifications: Ability to provide technical leadership to their team to successful technical outcomes, ensuring sound engineering decisions that balance business needs along with engineering and operational excellence Strong product mindset and customer focus to contribute meaningfully to planning and collaborate with PMs and team leads to shape team vision. Experience in one or more of the high-level programming languages (e.g., Java, Python, C#, Golang). Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB). Experience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC Proven experience architecting, building, deploying, and operating large scale, highly available, fault-tolerant, and elastic microservices in cloud-native environments. Proficiency in REST/GraphQL/gRPC API design, event-driven architectures, and message queues Familiarity with front-end development with React or Angular Experience building AI-powered product capabilities is a plus Experience in developing and integrating with any Governance, Risk, and Compliance platform is a big plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
10/07/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us,you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Job Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges at scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, developing, and operating software products and services that help Visa manage a broad portfolio of critical risk programs efficiently at scale. Your work will accelerate Visa business into new markets and sectors and empower and enable multiple productand business groupsacross Visa to deliver innovations faster. Key Responsibilities: Partner with product owners to gather and refine requirements across product teamsto create roadmap, execute and adapt the roadmap in the fast-paced environment. Own Visa's enterprise-wide risk platform that empowers employes to drive organizational and product improvements through collaborative idea sharing and the entire lifecycle from ideation to delivery. Design, implement, and enhance systems and shared technologies end-2-end that enable and improve Visa offerings which touch 40% of the world population while influencing Visa's internal standards for quality, observability, scalability, security, and reusability. Make a difference on a global or local scale through mentorship and continued learning opportunities Use and integrate GenAI and agents in day-to-day activities across SDLC and devops to improve ideation to production delivery cycle time andquality Come up with innovative ideas tointegrate GenAI to enhance and build new product capabilities and agents, and deliver measurable impact to users Drives advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem, and external services Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field.ORBachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field.ORMinimumeleven(11) years of directly related experience. Preferred Qualifications: Ability to provide technical leadership to their team to successful technical outcomes, ensuring sound engineering decisions that balance business needs along with engineering and operational excellence Strong product mindset and customer focus to contribute meaningfully to planning and collaborate with PMs and team leads to shape team vision. Experience in one or more of the high-level programming languages (e.g., Java, Python, C#, Golang). Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB). Experience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC Proven experience architecting, building, deploying, and operating large scale, highly available, fault-tolerant, and elastic microservices in cloud-native environments. Proficiency in REST/GraphQL/gRPC API design, event-driven architectures, and message queues Familiarity with front-end development with React or Angular Experience building AI-powered product capabilities is a plus Experience in developing and integrating with any Governance, Risk, and Compliance platform is a big plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Partner directly with cybersecurity engineering and DevSecOps prototyping teams to integrate security controls early in the development lifecycle. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 3-5+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $150,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
09/30/2026
Full time
Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Partner directly with cybersecurity engineering and DevSecOps prototyping teams to integrate security controls early in the development lifecycle. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 3-5+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $150,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details
09/29/2026
Full time
Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details
Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA with hybrid/remote opportunities. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Bridge the gap between OffSec and development by applying software design best practices. Lead technical exchange meetings (TEMs), participate in Discovery & Framing workshops, and maintain effective communication with cross-functional teams and stakeholders. Act as the primary subject matter expert and lead developer for custom offensive tooling, integrating disparate capabilities into a cohesive, mission-ready platform. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 5-7+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Experience with GitLab CI/CD (pipeline design, runners, artifact management) and AWS Cloud services (EC2, VPC, IAM, S3). Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $160,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
09/26/2026
Full time
Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA with hybrid/remote opportunities. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Bridge the gap between OffSec and development by applying software design best practices. Lead technical exchange meetings (TEMs), participate in Discovery & Framing workshops, and maintain effective communication with cross-functional teams and stakeholders. Act as the primary subject matter expert and lead developer for custom offensive tooling, integrating disparate capabilities into a cohesive, mission-ready platform. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 5-7+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Experience with GitLab CI/CD (pipeline design, runners, artifact management) and AWS Cloud services (EC2, VPC, IAM, S3). Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $160,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
