Top Senior Python Jobs in Richmond, VA

Lead and mentor engineering teams to build full-stack, cloud-native microservices and products. Collaborate with product managers, design scalable solutions using TypeScript/Node.js/Python and cloud/container technologies, and drive architectural consistency while occasionally coding and evaluating implementations.

Lead and mentor engineering teams to design and deliver cloud-based backend solutions using distributed microservices, modern languages and container orchestration on AWS. Collaborate with product, evaluate and write code, and drive technical transformation and regulatory-compliant systems.

Lead a team of developers to build technology projects using microservices and full stack systems, focusing on cloud-based solutions and mentoring team members.

Lead full‑stack teams to design and deliver cloud-based, microservices solutions. Mentor engineers, collaborate with product managers, and build scalable systems using Python, ReactJS, AWS, containers, and modern data tools to meet regulatory and customer needs.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

Lead software engineering initiatives in Cloud Operations Resilience Engineering, focusing on AI-driven systems, compliance, and architectural standards.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Lead diverse technology projects and develop solutions in a collaborative environment. Focus on cloud-based applications, mentoring, and leveraging new technologies.

Lead a diverse team projects focusing on full stack systems and cloud solutions, while mentoring engineers and collaborating with product managers to deliver technological solutions.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead and code fullstack features for the EVV team, provide technical leadership and mentoring, design and execute automated tests, monitor and troubleshoot production, contribute to product technical roadmap, and leverage AI-assisted development tools.

Lead the design and development of scalable Python backend services and APIs on AWS, mentor engineers, and manage PostgreSQL databases in a healthcare technology environment.

Develop, test, and maintain a complex distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements. Work with distributed workloads (Spark/Hadoop), SQL/Snowflake, AWS, shell scripting, and job scheduling/process automation. Support delivery under Agile/SAFe practices and ensure alignment with program standards.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.

Lead backend development on the scheduling platform modernization, contribute across products, write APIs, and drive AI-accelerated software development workflows.

Lead backend development on the scheduling platform modernization. Contribute across Python and .NET ecosystems, write APIs, review code, and support AI-accelerated development workflows while collaborating in a remote team environment.

The Senior Full Stack Engineer will develop scalable web applications using Python and React.js, mentor team members, and enhance system performance while leveraging AI technologies. The role emphasizes collaboration, end-to-end feature ownership, and architectural improvements in a remote setting.

Lead development of Python-based web applications using Django and FastAPI, architect scalable solutions, and establish technical standards while mentoring developers and optimizing infrastructure.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Design, build, test, and maintain backend applications using FastAPI and SQLAlchemy. Implement database schemas, integrate front-end components, optimize for performance and scalability, debug issues, participate in code reviews, and collaborate on feature design. Maintain clean, testable code and stay current with best practices.

Design and implement durable, fault-tolerant AI orchestration and backend systems using Temporal and agentic ReAct patterns. Deliver features end-to-end with testing, CI/CD, monitoring, and observability; mentor engineers and collaborate with cross-functional teams to translate legal workflows into reliable AI-powered features.