Top Python Jobs in Richmond, VA

Leads software engineering projects and developer teams building distributed microservices and full-stack, cloud-based solutions for risk management and regulatory compliance. Responsibilities include coding and code evaluation, mentoring engineers, collaborating with product managers, adopting emerging technologies, and developing systems using Python, TypeScript, React, AWS, databases, Docker, and Kubernetes.

Lead a team of software developers and a portfolio of technology projects focused on regulatory risk solutions. Build distributed microservices, full-stack systems, and cloud-based applications using modern programming languages, databases, containers, and AWS services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and deliver resilient solutions in an agile environment.

Lead diverse technology projects and mentor software developers while building robust cloud-based backend solutions. Collaborate with product managers, develop distributed microservices and full-stack systems, address regulatory needs, and use modern programming languages, databases, container orchestration, and cloud technologies. The role also involves evaluating code, promoting engineering best practices, staying current with technology trends, and supporting major digital transformation initiatives.

Leads software engineering projects and developer teams building distributed microservices and cloud-based backend solutions. Collaborates with product managers, mentors engineers, evaluates code, and addresses regulatory and customer needs. Uses Java, Python, SQL, Node.js, Go, Scala, AWS, containerization, orchestration, relational databases, and NoSQL technologies while driving innovation and delivery across Capital One.

Lead a team to design and deliver cloud-based full-stack microservices and applications, collaborate with product managers, mentor engineers, experiment with emerging technologies (AI/LLM), and ensure solutions meet regulatory and customer needs using modern languages, databases, containers, and AWS services.

Lead backend engineering efforts across microservices-based, cloud-native systems. Manage a portfolio of projects and mentor developers while designing and delivering scalable AWS solutions using Go, Python, and other backend technologies. Collaborate with product managers, participate in technical communities, and sometimes write or review code to meet regulatory and customer needs.

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 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 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 a portfolio of cloud-native full‑stack and SRE projects, mentor engineers, collaborate with product managers, and deliver resilient AWS/GCP/Azure services using Java, Python, containers, orchestration, and observability tooling.

Lead full‑stack teams building cloud-native microservices and distributed systems. Design and deliver robust AWS/GCP/Azure solutions, mentor engineers, collaborate with product managers, and apply emerging AI tooling to solve complex card decisioning problems.

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

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.

Lead backend engineering efforts to design, build, test, and deploy cloud-native, AI-enhanced microservices. Mentor engineers, drive architecture and technical direction, integrate LLMs and advanced AI tooling, and ensure scalable, performant omnichannel messaging platforms.

Lead design and implement cloud-native, resilient full-stack systems that use AI/ML to automate governance, observability, and risk management. Drive architecture, build PoCs, write production code, and collaborate with product, data science, and risk teams to deliver scalable, secure solutions across distributed services and cloud platforms.

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

Lead a team to design and deliver cloud-based backend solutions and distributed microservices using languages like Python, Scala, and Java. Collaborate with product managers, mentor engineers, evaluate code, and use AWS, containers, and data frameworks (Spark) to meet regulatory and customer needs.

Lead Data Engineer designing, building, testing, and supporting cloud-based data pipelines and platforms. Collaborate across Agile teams to implement scalable data movement, modeling, governance, and streaming solutions using Python, Spark, Kafka, Snowflake/Databricks, and other big data tools. Mentor engineers and drive technical innovation.

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

Develop and maintain automated front-end, backend, and API testing frameworks using Python and tools such as Cypress and Playwright. Define manual and automated testing strategies, perform functional, performance, non-functional, and security testing, and integrate quality assurance into CI/CD pipelines. Collaborate with development teams, technical leaders, and clients to deliver scalable, reliable enterprise software.

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.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

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.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.