Top Python Jobs in Dallas, TX

Lead a team and portfolio building distributed microservices and full-stack cloud solutions. Mentor engineers, collaborate with product managers, and deliver scalable AWS-based applications using Java, Python, JavaScript/TypeScript, containers, and databases to meet regulatory and customer needs.

The role involves developing, testing, and implementing software solutions using Ansible and Python. Responsibilities include automating infrastructure management, creating CI/CD pipelines, and troubleshooting system errors.

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, maintain, and improve Python-based analytics applications and cloud-based microservices. Implement containerized deployments (Docker, Kubernetes), CI/CD, automated tests (PyTest), and integrate data libraries (Pandas, NumPy, scikit-learn). Mentor junior team members, troubleshoot functionality, and evaluate system improvements in AWS (ECS, Lambda) with PostgreSQL/MSSQL backends and REST APIs.

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

Lead design and implement cloud-native, resilient full-stack systems that use AI/ML to automate governance, observability, and risk management. Drive architecture, build PoCs, write production code, and collaborate with product, data science, and risk teams to deliver scalable, secure solutions across distributed services and cloud platforms.

Full‑stack Python/Django developer responsible for front‑end and back‑end work: convert PSDs to HTML/CSS, implement JavaScript, build and maintain Django apps, deploy sites, generate reports from multiple databases, and collaborate with clients and a distributed team.

Develop and maintain Python applications using CPython and GUI plugins (PyQt/PySide). Use Microsoft TFS for source control, collaborate with clients and global teams, and apply analytical skills within the Finance domain.

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 design and implementation of scalable, secure AWS serverless solutions. Migrate on-prem apps to serverless, build data processing pipelines, tune performance, create CI/CD pipelines, conduct code reviews, and mentor junior engineers while collaborating with cross-functional teams.

Lead technical design and hands‑on development for liquidity risk applications. Build Python APIs/services, write production SQL, design Snowflake data solutions, drive delivery, mentor engineers, enforce resiliency, security, and partner with stakeholders to deliver end‑to‑end workflows across UI, API, and data warehouse layers.

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 and enforce linting (flake8). Integrate pyMongo with MongoDB collections, connect services to GraphQL endpoints and graph databases, and configure and maintain Neo4j database instances.

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 pipelines. Optimize data processing, ensure reliability in distributed systems, produce architecture artifacts, support CI/CD and incident response, collaborate with cross-functional teams, mentor engineers, and improve system performance, observability, and maintainability.

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.

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.

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.