Top 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 a team building cloud-native, full-stack microservices and AI-enhanced risk management solutions. Design, deliver, and mentor on scalable AWS-based systems using modern web stacks and generative AI tooling to meet regulatory and business needs.

Lead a team to design and deliver cloud-based, distributed microservices and data platforms (Python/Scala/Spark/AWS). Mentor engineers, collaborate with product managers, evaluate and adopt new technologies, and help meet regulatory needs while occasionally coding and reviewing work.

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 in building cloud-based solutions, focusing on back end software engineering with AWS and programming languages like Java, Go, and Python. Collaborate on diverse projects to meet business and regulatory needs.

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.

Build and maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.

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 Lead Software Engineer will develop automated testing capabilities for Capital One's applications, manage test execution, and lead diverse technology projects. The role requires collaboration with product teams and implementing cloud-based solutions while mentoring team members.

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.

Develop, design, and deliver complex Python backend applications for acquiring, storing, and computing on large volumes of data. Lead feature implementation, ensure code quality via linting and automated tests, mentor junior developers, perform code reviews, collaborate with cross-functional teams, and troubleshoot production issues.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

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

Develop and maintain Python applications focusing on iterators/generators/streams, concurrency (multithreading, non-blocking I/O), and high-precision numeric handling. Work with JSON/XML, REST and SOAP APIs, ACID-compliant databases, message brokers/queues, and produce clean, SOLID code. Unit and integration testing experience is beneficial.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

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.

Design, implement, and maintain SaaS features using Python and React on AWS. Lead system design, code reviews, CI/CD pipelines, AI-integrated development (LLMs and AI coding agents), prompt engineering, testing (Cypress), and on-call production support. Mentor teammates and ensure secure, scalable, well-documented software.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

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.