Top Remote Python Jobs in Dallas, TX

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, test, and maintain backend services using Java and Python within a microservices architecture. Collaborate with architects, product owners, and infrastructure to deploy containerized applications, tune performance, implement CI/CD, and support production systems. Participate in code reviews, agile ceremonies, and technical design to deliver scalable, high-quality solutions.

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.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous, opinionated feedback distinguishing response quality levels and help define best practices for tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires strong software engineering expertise, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without deeply reviewing or executing every line.

Develop and maintain end-to-end applications using Python, Node.js, C#, and React. Build scalable backend services, frontend features, APIs, cloud-native AWS solutions, automated tests, infrastructure as code, and CI/CD pipelines. Collaborate with cross-functional engineering teams in an agile, remote environment while contributing to architecture and reliable product delivery for US clients.

Design, develop, test, and maintain scalable Python applications, backend services, REST APIs, microservices, and integrations. Work with databases, asynchronous processing, cloud platforms, containers, CI/CD, security, observability, and distributed systems. Troubleshoot production issues, optimize performance, create automated tests, participate in code reviews and architecture decisions, and collaborate with product, DevOps, QA, and engineering teams.

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.

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.

Develop and maintain Python software applications, backend services, APIs, integrations, and database solutions. Responsibilities include troubleshooting, testing, deployment, code review, performance monitoring, documentation, and collaboration with a distributed remote team. The role requires independent work, strong communication, and reliable delivery of maintainable, scalable software.

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 and evaluate performance engineering tasks for AI training/evaluation. Optimize runtime, compilers, memory, CPU/GPU and concurrency. Produce documented solutions, evaluate AI-generated code, and build evaluation frameworks and scoring rubrics while collaborating with researchers and SMEs.

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.

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

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.

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

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.