Top Senior Python Jobs in Dallas, TX

Leads architecture and hands-on delivery of complex backend, UI, API, and production AI applications. Owns ADK and LangGraph agentic workflows, establishes engineering standards, drives resiliency and operational readiness, and mentors engineers. Partners across Product, Design, Security, and SRE to deliver secure, scalable systems using Python, React, AWS, FastAPI, databases, CI/CD, and modern software engineering practices.

Leads software engineering projects and developers building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers robust systems supporting regulatory needs and customer experiences. The role uses Python, JavaScript, Java, TypeScript, SQL, Go, AWS, databases, Docker, and Kubernetes.

Leads development of secure, scalable software for a distributed multi-tenant platform, including APIs, data ingestion, pipelines, dashboards, and isolated AWS deployments. Designs and operates cloud-native Kubernetes workloads, promotes automation and AI-assisted engineering practices, and champions security, privacy, and supply-chain controls. Evaluates architectures, mentors teams, improves operational stability, and supports platform delivery across regulated environments.

Leads software engineering projects and developer teams building distributed microservices and cloud-based backend solutions. Collaborates with product managers, mentors engineers, evaluates code, and addresses regulatory and customer needs. Uses Java, Python, SQL, Node.js, Go, Scala, AWS, containerization, orchestration, relational databases, and NoSQL technologies while driving innovation and delivery across Capital One.

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, 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 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.

Develop, deploy, maintain, and support enterprise full-stack applications using Java, J2EE, Spring, Python, and modern front-end technologies. Responsibilities include API and database development, production deployments, incident resolution, release management, CI/CD and DevOps automation, and collaboration with cross-functional teams. The role also supports AI-enabled solutions using LLMs, AI agents, workflow automation, and RAG applications.

Develop and support enterprise full-stack applications using Java, J2EE, Spring, Python, and modern front-end technologies. Responsibilities include designing APIs, database integration, testing, deployments, release management, production troubleshooting, CI/CD automation, and Linux or Windows administration. The role also supports AI-enabled solutions using LLMs, generative AI, and agentic workflows. Collaboration with business, infrastructure, and global IT teams occurs within Agile/Scrum processes.

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.

The Software Engineer Principal will lead analytics processes, define and maintain APIs, improve query performances, mentor junior staff, and develop analytical solutions for decision-making.

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.

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.