Top Python Jobs in Dallas, TX

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.

Designs, develops, reviews, and troubleshoots secure production software. Delivers Python-based solutions on AWS and Snowflake, drives automation and operational stability, leads engineering best practices, uses AI-assisted development tools responsibly, and contributes to product vision and team culture.

Lead a team building cloud-based, full-stack microservices solutions using Go, Python, JS/TypeScript, containers, and AWS. Mentor engineers, collaborate with product managers, drive technical direction, and deliver compliant solutions to meet regulatory and customer needs.

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 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 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.

Lead a team building distributed microservices and full-stack systems to manage income data used in credit decisioning. Design and deliver cloud-based (AWS) solutions, ensure data integrity, mentor engineers, collaborate with product managers, and use Java, Python, Spark, container orchestration, RDBMS/NoSQL, and web technologies to drive scalable, secure experiences.

The Lead Software Engineer develops APIs for credit decisioning, designs technical solutions, collaborates on risk strategies, and analyzes large datasets to enhance lending decisions.

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 a team and portfolio building full-stack, cloud-native microservices and platforms. Collaborate with product managers to deliver scalable AWS solutions, mentor engineers, experiment with new technologies, and ensure regulatory needs are met using languages like JavaScript, Java, TypeScript, Python, Go, and container orchestration (Docker, Kubernetes).

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, 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.

Design, develop, and troubleshoot secure, scalable React and Python applications. Use enterprise-authorized AI-assisted development tools responsibly to improve code quality. Produce architecture artifacts, build automation tests, analyze data for improvements, contribute to engineering communities, and support CI/CD, resiliency, and security practices.

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 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.

Design, develop, and troubleshoot React/Python applications; produce secure, high-quality production code; use AI-assisted development tools responsibly; create architecture artifacts; build tests and visualizations; improve system resiliency and coding hygiene; contribute to engineering communities.

Designs, develops, debugs, and delivers secure, scalable software solutions using Python and PySpark. Produces architecture artifacts, analyzes large datasets for insights, ensures application resiliency and CI/CD practices, and contributes to engineering communities and system improvements.

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 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.

Design, build, test, deploy, and support scalable Python-based RESTful APIs and cloud infrastructure. Collaborate with cross-functional teams, follow Agile practices, ensure API security, maintain CI/CD and containerized environments, use message queues and databases, and produce unit-tested, maintainable code.