Top Senior Python Jobs in Dallas, TX

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

Design, build, and maintain enterprise-grade Python applications and data processing pipelines. Deliver production-ready, secure, high-performance code, architecture artifacts, and observability. Optimize large-scale data workflows, support incident response, participate in CI/CD and Agile processes, perform root-cause analysis, mentor engineers, and collaborate with product, data, and infrastructure teams to translate business needs into scalable solutions.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

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.

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.

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, 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.

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.

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.

The role involves leading application systems analysis and programming in the Wholesale Credit Risk Technology team. Responsibilities include building enterprise applications using Python and FastAPI, collaborating with teams, resolving complex issues, and supporting production.

Design, develop, and implement production microservices and applications. Integrate generative AI (LLMs, RAG, AI agents) into services, apply DDD/CQRS/event sourcing, ensure secure coding and secrets management, support databases (Postgres, Oracle, MongoDB, Redis), advise stakeholders, and provide coaching and operational support throughout the SDLC.

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