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Design and develop secure, resilient full-stack systems and microservices using Java or Python and AWS. Build digital asset custody components, blockchain integrations, APIs, and cloud applications across the software development lifecycle. Create architecture artifacts, troubleshoot production issues, analyze data, and improve reliability. Lead responsible adoption of AI-assisted engineering tools for coding, testing, reviews, refactoring, and incident analysis while coaching teams on secure, compliant practices.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions using multiple programming languages, databases, container orchestration, and AWS services. Collaborates with product managers, addresses regulatory needs, mentors engineers, evaluates emerging technologies, and promotes engineering community participation. The role requires software engineering and cloud experience, with preferred expertise in modern frameworks, Agile practices, people management, and interactive AI productivity tools.

Lead diverse technology projects and developer teams building distributed microservices and full-stack systems. Develop cloud-based solutions using multiple programming languages, databases, container orchestration, and AWS services. Collaborate with product managers, address regulatory needs, stay current with technology trends, experiment with emerging tools, and mentor engineering community members. The role also involves people leadership, Agile delivery, and using interactive AI tooling to improve productivity.

Build, test, implement, and support full-stack authentication solutions for Capital One’s Empath Platform. Develop front-end and back-end applications using modern web technologies, REST APIs, databases, containers, and AWS services. Collaborate with Agile teams and product managers to deliver secure, accessible cloud-based experiences. Stay current with technology trends, contribute to engineering communities, mentor peers, and use emerging tools, including interactive AI, to improve productivity.

Lead software engineering projects and developer teams building distributed microservices and full-stack systems. Develop cloud-based solutions using modern programming languages, databases, Docker, Kubernetes, and AWS services. Collaborate with product managers, address regulatory needs, stay current with technology trends, mentor engineers, and contribute to internal and external technology communities.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions supporting regulatory needs and customer experiences, collaborates with product managers, mentors engineers, and promotes modern technology adoption. Uses JavaScript, Java, TypeScript, SQL, Python, Go, databases, Docker, Kubernetes, and cloud services including AWS. Requires a bachelor’s degree, four years of software engineering experience, and one year of cloud experience.

Provides expert technical leadership for full-stack cloud-native application development. Architects microservices across AWS and OCI, develops Java Spring Boot backends and React interfaces, manages Kubernetes containerization, and governs APIs, WebSockets, integrations, and databases. Participates in Scrum ceremonies, code reviews, testing, deployments, monitoring, troubleshooting, and production support while collaborating with cross-functional teams.

Design, develop, test, debug, and deploy full-stack enterprise applications and infrastructure supporting a government customer. Build front-end interfaces, Java Spring back-end services, APIs, microservices, databases, cloud services, and network infrastructure. Apply AWS, DevOps, testing methodologies, Agile, SecDevOps, cloud design, and Infrastructure as Code practices while collaborating with technical teams to solve complex problems.

Build, enhance, and support microservices powering financial portfolio construction, data integrations, and real-time operational workflows. Develop platform capabilities, APIs, data pipelines, and infrastructure while collaborating with stakeholders to address business needs. Troubleshoot live production issues, provide critical real-time support, write maintainable code, validate quality, and contribute to a fast-paced interdisciplinary engineering environment.

Develop and deploy full-stack applications supporting purchasing, manufacturing planning, scheduling, test-data analysis, and factory operations. Lead the software development lifecycle, collaborate with non-software stakeholders to define requirements, apply agile and continuous delivery practices, solve complex problems, and mentor engineers. The role involves building scalable platforms across front-end, services, analytics, industrial automation, and AI capabilities.

Develops secure, scalable full-stack software for payments technology using Python and React. Designs application architecture, writes and troubleshoots production code, builds automated tests with Playwright and Pytest, and supports operational stability. Uses AI-assisted development tools responsibly to improve coding, testing, and documentation while validating outputs for security and correctness. Analyzes data, creates visualizations, and identifies patterns that improve software quality and system architecture within an agile SDLC environment.

Designs, develops, and maintains full-stack services using Java, Spring Boot, TypeScript, and APIs. Builds microservices and reactive systems, deploys cloud-native applications on AWS, and manages infrastructure as code. Leads secure adoption of AI-assisted engineering practices, including validation, testing, troubleshooting, and code improvement. Applies 12-factor principles, implements CI/CD and observability tooling, and executes performance and load testing. Preferred work includes multi-agent environments, Agent2UI, A2A protocols, and LLMs.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions using AWS and other technologies, collaborates with product managers, addresses regulatory needs, mentors engineers, evaluates code, and promotes modern engineering practices. The role requires experience with software engineering, cloud computing, open-source frameworks, Agile methods, people management, and multiple programming languages.

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build cloud-based solutions supporting regulatory needs and customer experiences. Collaborate with product managers, mentor engineers, stay current with technology trends, and use languages including JavaScript, Java, TypeScript, SQL, Python, and Go alongside AWS, Docker, Kubernetes, and relational and NoSQL databases.

Leads software engineering projects and developers building cloud-based, full-stack solutions for digital wallets, network tokenization, and virtual credit cards. Designs distributed microservices and serverless applications, collaborates with product managers, mentors engineers, evaluates code, adopts emerging technologies, and supports regulatory needs. Uses JavaScript, Java, TypeScript, SQL, Python, Go, AWS, Docker, Kubernetes, relational databases, and NoSQL systems.

Lead diverse technology projects and developer teams building distributed microservices and full-stack systems. Collaborate with product managers to deliver robust cloud-based solutions, address regulatory needs, mentor engineers, and promote modern engineering practices. The role uses multiple programming languages, relational and NoSQL databases, container orchestration, and AWS services while encouraging experimentation, technology-community participation, Agile delivery, and interactive AI tooling.

Build, test, deploy, troubleshoot, and optimize full-stack enterprise web applications. Develop Node.js backend services and APIs on cloud platforms, use AI-enabled developer tools to improve workflows, and collaborate in Agile teams through code reviews, estimation, and continuous delivery. The role also involves evaluating emerging technologies and improving application reliability, performance, and scalability.

Design, develop, test, and demonstrate front-end and distributed cloud-based software features. Analyze requirements, troubleshoot issues, and contribute to system architecture and integration within an Agile/DevSecOps environment supporting GEOINT users.

Design, develop, test, troubleshoot, and maintain scalable full-stack payment solutions using Java, React, PostgreSQL, and cloud technologies. Build secure production code, optimize databases, deploy cloud infrastructure, create architecture artifacts, and improve CI/CD automation. Use AI-assisted development tools responsibly, analyze data for system improvements, collaborate across engineering and product teams, and uphold resiliency, security, and software development best practices.

Build backend-heavy fullstack features for DX Fabric, including scalable REST APIs, React components, software catalogs, scorecards, automated workflows, and agentic capabilities. Optimize PostgreSQL and SQL performance at enterprise scale, implement monitoring and error reporting, review code, and collaborate with product, design, and engineering teams in an Agile environment.

Develops and maintains secure, scalable full-stack applications for JPMorgan Chase’s Commercial Lending team. Responsibilities include Java and React software development, system design, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The engineer works in an agile environment, uses Kafka and cloud-native technologies, applies secure coding practices, and leverages enterprise-authorized AI-assisted development tools while validating generated outputs for correctness, performance, and security.

Build enterprise AI platform capabilities and production AI applications, including agentic workflows, retrieval-augmented generation, semantic search, vector databases, cloud-native services, and AI model operations. Collaborate with senior engineers on orchestration, developer tooling, governance, security, responsible AI, monitoring, testing, and compliance. Use Python, Google Cloud Platform, Kubernetes, CI/CD, and infrastructure as code while developing scalable AI solutions.

Lead the design and delivery of enterprise AI platform capabilities and production agentic AI solutions. Build multi-agent systems, RAG and knowledge management solutions, cloud-native infrastructure, and MLOps/LLMOps capabilities. Partner with business, architecture, security, legal, and risk stakeholders; influence architecture decisions; mentor engineers; and establish reusable engineering, governance, monitoring, and operational practices.

Designs and delivers enterprise AI platform capabilities and production-ready agentic applications. Builds multi-agent systems, RAG and knowledge platforms, orchestration frameworks, cloud-native services, and developer tooling. Implements MLOps and LLMOps for deployment, evaluation, monitoring, observability, and optimization. Partners with stakeholders, contributes to architecture and engineering standards, and independently owns initiatives from design through production deployment.

Develop and maintain secure, scalable full-stack applications and data pipelines using Java, Python, SQL, and AWS. Design cloud-native finance data solutions, analyze large datasets, create architecture artifacts, troubleshoot production systems, participate in code reviews, and collaborate with product and engineering teams. Apply AI-assisted development tools responsibly while ensuring code quality, security, resiliency, and regulatory compliance.