Top Python Jobs in Dallas, TX

Leads software engineering projects and manages developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, mentors engineers, evaluates and occasionally writes code, and drives technology modernization using Java, Python, AWS, databases, containers, and related technologies to address regulatory and customer needs.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

Develops secure, scalable software solutions in Python and Java within an agile corporate technology environment. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role uses Docker, Kubernetes, AWS cloud services, CI/CD, and enterprise-authorized AI-assisted development tools. Engineers also validate AI-generated code, support secure and resilient applications, and contribute to engineering communities and team improvement.

Leads the design, development, deployment, and troubleshooting of secure, scalable Java and Python software systems. Builds Spring Boot microservices on AWS, applies distributed-systems and backend infrastructure patterns, and manages observability, testing, resiliency, and security. Uses Spark and SQL for large-scale data processing, guides responsible AI-assisted development, and defines guardrails for production AI agents. Mentors engineers, collaborates with architects and business stakeholders, and drives technical solutions across multiple corporate technology functions.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Develops cloud-based solutions using Java, Python, databases, Docker, Kubernetes, and AWS technologies. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers enterprise platforms supporting regulatory and customer needs.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Lead the design, delivery, and re-architecture of an enterprise CI/CD platform used by thousands of developers. Build scalable platform capabilities, define system abstractions, embed compliance controls, lead technology projects, establish engineering standards, mentor engineers, and work across cloud, containerization, distributed systems, workflow engines, and multiple programming languages.

Leads full-stack software engineering across design, development, testing, troubleshooting, and operational stability. Builds secure production code using Java or Python and React, reviews peer code, and promotes AI-assisted engineering practices with secure validation standards. Drives automation, continuous delivery, application resiliency, cloud-native development, vendor evaluations, architectural improvements, and technical communities of practice within financial technology.

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.

Lead a team of software engineers and a portfolio of technology projects, building cloud-based full-stack and distributed microservices solutions. Develop and mentor engineers, collaborate with product managers, address regulatory needs, and use Python, JavaScript, Java, TypeScript, SQL, Go, AWS, Docker, Kubernetes, and database technologies. The role also emphasizes network automation, cloud engineering, Agile practices, and adoption of emerging technologies.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Develops cloud-based solutions using Java, Python, JavaScript, TypeScript, SQL, Go, AWS, databases, Docker, and Kubernetes. Mentors engineers, evaluates emerging technologies, collaborates with product managers, supports regulatory needs, and drives iterative technology transformation.

Lead diverse software engineering projects and mentor development teams building distributed microservices and cloud-based solutions. Collaborate with product managers to deliver robust systems supporting regulatory needs and customer experiences. Use Java, Python, SQL, Node.js, Go, Scala, databases, Docker, Kubernetes, and AWS services while staying current with technology trends and contributing to engineering communities.

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.

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.

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.

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.

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).

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.

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

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, troubleshooting, release management, CI/CD automation, and collaboration with cross-functional teams. The role also supports AI-enabled solutions using LLMs, AI agents, workflow automation, and RAG applications.

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.