Top Senior Python Jobs in Dallas, TX

Design, develop, and maintain secure, production-grade full‑stack applications and microservices using React, Java/Node.js/Python and AWS. Integrate SaaS platforms (e.g., Monday.com), implement CI/CD, observability and AI‑assisted workflows, troubleshoot production issues, and ensure alignment with enterprise standards for security, resiliency, and scalability.

Lead design, develop, and deliver secure, scalable production software using Java/Python and cloud (AWS). Drive AI-assisted development adoption, evaluate vendors, automate remediation, mentor teams, and ensure CI/CD, resiliency, and security best practices.

Lead and deliver secure, scalable infrastructure platform solutions: design, develop, review production code; implement CI/CD, automation, containerized distributed systems, and AWS IaC; drive AI-assisted engineering practices and technical vendor evaluations.

Lead development of secure, production-grade storage/platform software. Design and deliver distributed systems using Python and modern cloud-native practices, drive automation and AI-assisted engineering adoption, troubleshoot complex incidents, mentor engineers, and partner across product, operations, and security to improve reliability and delivery.

Lead design and delivery of scalable, secure AWS-based platform solutions. Develop and maintain production code and automation, champion AI-assisted engineering practices, produce architecture documentation, analyze large datasets for resiliency and performance, implement CI/CD and observability, and mentor junior engineers.

Lead development of API-driven network automation and frameworks using Python and AI-assisted tools. Translate manual network operations into secure, maintainable automation, collaborate with network and platform teams, and drive deployment automation across cloud and legacy infrastructure.

Lead software engineer responsible for designing, building, and operating secure, high-quality Python-based production systems. Drive distributed systems design, automation, AI-assisted engineering adoption, troubleshooting, mentoring, and cross-functional collaboration to improve reliability and delivery.

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

Lead development of end-to-end test automation for digital onboarding, write and review secure high-quality test code, drive adoption of AI-assisted engineering, establish validation standards, improve operational stability, and lead stakeholder and architecture reviews.

Lead design, development, and delivery of secure, scalable AI-enabled applications. Produce production-quality Python code, drive AI-assisted engineering practices, automate reliability fixes, evaluate models and vendors, and coach teams on responsible AI, secure coding, CI/CD, and cloud-native operations.

Lead design and develop scalable microservices-based applications using Java and Python. Build event-driven systems with Kafka, implement RESTful APIs, CI/CD pipelines, and integrate Azure AI/Generative AI capabilities. Provide technical leadership, code reviews, documentation, and mentor team members while applying DDD and security best practices.

Lead development of API-driven network automation and frameworks using Python and automation tools. Translate manual procedures into secure, maintainable automation, collaborate with network and platform teams, and apply AI-assisted development responsibly to accelerate design, testing, and troubleshooting.

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.

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.

Design and develop scalable Python services, manage CI/CD pipelines, and ensure secure communication and data practices while collaborating with teams.

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.

Develop Python microservices and APIs using FastAPI; implement data validation with Pydantic; enforce linting (flake8); integrate with MongoDB via PyMongo; connect to GraphQL and graph databases; install and configure Neo4j.

Design, build, and maintain enterprise-grade Python applications and data-intensive services. Own system design, automated testing, CI/CD, operational support, and production debugging. Collaborate with product, data, and infrastructure teams to deliver reliable, secure, high-performance distributed systems and translate ambiguous business problems into engineered solutions.

Develop and maintain Python-based solutions and REST services for enterprise capital management. Build/refresh environments, develop and test algorithms, automate processes, and work with MS SQL Server, SSIS/SSRS and ETL tasks. Cross-train on DB/ETL work; collaborate on a global team within a banking environment.

Develop and test Python-based solutions and REST services for enterprise capital management. Automate processes, work with MS SQL Server/ETL tools, and collaborate on global multi-functional projects. Cross-train in ETL/DB and support algorithm development to solve complex business problems.

Full-time developer role in Plano, TX requiring 5+ years of application programming experience and hands-on experience with Python (2+ years) and R analytics (2+ years).

Design, build, and support cloud-native, data-intensive backend services focused on scalable search, high-throughput data pipelines, REST APIs, and event-driven architectures using Python, Elasticsearch, Kafka, Databricks, and Azure. Implement CI/CD, monitor production performance, optimize indexing and API latency, and collaborate on architecture and support.

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, build, and deliver scalable cloud-hosted applications combining React front-ends and Python/FastAPI backends. Own end-to-end features, optimize SQL and Text-to-SQL workflows, integrate with Snowflake, deploy containerized services with Docker and Nginx, and mentor junior developers while promoting security, performance, and reliability.