Top Senior Python Jobs in Richmond, VA

Leads the design and implementation of large-scale, cloud-native full-stack systems for cloud operations resilience. Develops distributed microservices using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes. Defines platform roadmaps, architecture, engineering standards, and operational practices while improving reliability, performance, and technical debt. Mentors engineers, leads design reviews and cross-functional initiatives, evaluates emerging AI technologies, and influences enterprise technology strategy.

Lead multiple technology projects and engineering teams while designing and implementing reliable, high-performance, cloud-native and distributed systems. Provide technical leadership across teams, shape architecture and technology roadmaps, mentor engineers, establish engineering standards, and deliver full-stack solutions using modern programming languages, cloud services, microservices, databases, containers, APIs, observability, and automation.

Leads full-stack engineering projects and developer teams building large-scale, distributed, cloud-native systems. Responsibilities include architecture, platform roadmaps, regulatory solutions, technical leadership, mentoring, system design, cloud development, observability, reliability, and collaboration with product and architecture leaders. The role uses modern programming languages, databases, container orchestration, AWS services, APIs, CI/CD, infrastructure as code, and automated testing.

Leads multiple technology projects and engineering teams developing distributed microservices, full-stack systems, and cloud-native platforms. Provides technical leadership on architecture, system design, reliability, performance, platform roadmaps, and shared services. Partners with product managers and architects, mentors engineers, drives technology strategy, establishes coding standards, and delivers secure solutions supporting regulatory and compliance needs.

Leads full-stack software engineering initiatives using cloud technologies, distributed microservices, databases, APIs, and modern programming languages. Provides technical direction across Agile teams, mentors engineers, partners with architects and product managers, establishes engineering standards, improves system performance, reduces technical debt, and evaluates emerging technologies including AI-based development tools.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Own Telnyx’s global phone-number ordering pipeline, carrier integrations, regulatory automation, AI-powered order review, and Postgres data layer. Build reliable async Python services with retries, rollbacks, queues, SLA monitoring, document verification, auditability, and human escalation. Improve automation across dozens of vendors and 45+ countries while maintaining dashboards, analytics, and operational alerts across a large microservice estate.

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.

Lead the design, development, and implementation of resilient pricing tools using Python and cloud technologies. Improve automation, deployment reliability, testing, documentation, and technical standards. Coordinate complex projects, research new development practices, identify technical blockers, and mentor junior developers. Collaborate with stakeholders while developing expertise in insurance pricing and supporting applications built with technologies such as Streamlit, Flask, Docker, Kubernetes, and cloud compute.

Designs and builds scalable applications using React and Python, contributing to component development, data storage, deployment practices, performance optimization, testing, and client requirements analysis. The role collaborates with technical leaders, clients, and distributed teams in agile environments, using Git, code reviews, cloud platforms, databases, and AI-native development practices. U.S.-based travel to client sites is required.

Senior Python Developer responsible for taking ownership of an existing software project, understanding its architecture, completing unfinished features, resolving bugs, reducing technical debt, improving performance and reliability, expanding test coverage, and preparing the application for production release. The role requires independent decision-making, collaboration with stakeholders, API and database integration experience, and strong software engineering practices.

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.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Build and maintain full-stack applications that deliver AI/ML insights through backend services, REST APIs, containerized microservices, and high-performance front-end interfaces. Responsibilities include cloud-native development on Google Cloud or Azure, database management, testing, CI/CD automation, security, troubleshooting, and Agile collaboration.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Lead backend-focused software architecture and development across distributed systems, data ingestion, experimentation platforms, AI workflows, and product capabilities. Build primarily in Python while contributing to React and TypeScript frontend work. Translate ambiguous product needs into scalable production systems, guide technical direction, partner with product and data teams, mentor engineers, and improve engineering practices.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

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.

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.

Develop high-scale, high-availability server applications in Python using Django/Flask. Build and consume REST/SOAP/JSON APIs, integrate message buses (RabbitMQ/ActiveMQ/Kafka), use Cassandra and distributed frameworks (Zookeeper). Apply algorithms, distributed systems, networking and OS knowledge; work in Agile/Scrum environments.

Experienced Python developer to perform SQL/CRUD operations, extract/transform/generate files (CSV, XML, JSON, PDF), integrate email flows, and collaborate in onsite/offshore teams. Strong communication and ability to work under pressure required.