Top Senior Python Jobs in Dallas, TX

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, review code, drive architectural and product decisions, advocate firmwide tools and best practices, and apply cloud-native and machine-learning expertise to deliver resilient applications.

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.

Lead an agile software engineering team to design, develop, and operate secure, scalable AWS cloud-native applications. Drive adoption of AI-assisted development practices, ensure code quality, automate remediation, and promote reuse. Provide hands-on development, system design, CI/CD, streaming solutions (Kafka), and mentor engineers while managing team performance and operational stability.

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

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.

Hands-on senior Python engineer responsible for designing, building, and supporting large-scale, production-grade applications and data-intensive services. Partner with product, data, and infra teams to translate business problems into reliable, secure systems; troubleshoot root causes; implement SDLC, CI/CD, resiliency, and automated testing; and support ongoing operational excellence.

As a Lead Software Engineer, you will drive technical initiatives to develop the AskGartner AI platform, manage architecture decisions, mentor engineers, and collaborate across teams to deliver scalable solutions.

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

Lead development of scalable, serverless integrations between Salesforce, Zuora, and vendor systems. Define architectures, write and unit test code, and drive delivery in an Agile environment. Mentor engineers, enforce coding standards, plan and estimate work, and collaborate with global teams to ensure event-driven, microservices-based, cloud-native solutions with CI/CD and strong production data modeling.

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.

The role involves leading the development of enterprise applications using Angular and Python, collaborating with teams to deliver technology solutions for the Credit Risk Business, while resolving complex issues and supporting production environments.

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.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.