Top Python Jobs in Dallas, TX

Leads full-stack software engineering initiatives using Python, AWS, microservices, and cloud technologies. Responsibilities include guiding development teams, designing distributed systems and APIs, partnering with architects and product managers, improving performance and reducing technical debt, establishing engineering standards, mentoring engineers, and influencing technology strategy. The role requires software engineering and public cloud experience, with preferred expertise across multiple programming languages, databases, CI/CD, infrastructure as code, testing, observability, and AI-assisted development tools.

Leads and develops cloud-based full-stack solutions within Capital One’s Cloud Operations Resilience Engineering division. Responsibilities include designing distributed microservices, APIs, and reusable frameworks; using Python, JavaScript, TypeScript, AWS, Docker, Kubernetes, and databases; leading Agile engineering teams; establishing technical standards; mentoring engineers; improving observability, resilience, availability, performance, and technical debt; and influencing long-term technology strategy.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, APIs, databases, and modern front-end technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with architects and product managers, improve system performance, reduce technical debt, and influence technology strategy. The role requires extensive experience with programming languages, cloud infrastructure, CI/CD, testing, version control, observability, and scalable systems.

Leads architecture and hands-on development of scalable Python and Java distributed systems, ML platforms, and agentic AI services. Productionizes machine-learning models, builds resilient microservices and reusable platform components, establishes monitoring and governance, and guides responsible AI-assisted engineering adoption. Partners with technical and business stakeholders while mentoring developers and managing delivery across teams.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Build and lead full-stack software engineering initiatives using cloud-based, distributed microservices and full-stack systems. Lead developers, define service boundaries and integration patterns, establish engineering standards, mentor engineers, and deliver solutions supporting regulatory and customer needs. Develop with modern programming languages, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability. Drive technical strategy, refactoring, performance optimization, and reduction of technical debt across Agile teams.

Leads the design, development, testing, and operation of secure, scalable cloud-native software services. Provides technical direction, writes and reviews production code, develops AWS APIs and event-driven microservices, manages Terraform infrastructure, and improves CI/CD, testing, observability, and reliability. Establishes governance for responsible AI-assisted engineering, validates AI outputs for security and quality, promotes engineering standards, and coaches teams on compliant development practices.

Develops secure, scalable software solutions in Python, Java, and React within an agile corporate technology team. Responsibilities include designing and troubleshooting applications, producing architecture artifacts, analyzing data, maintaining production code, deploying containerized applications with Docker, Kubernetes, and AWS EKS, and applying CI/CD, resiliency, security, and responsible AI-assisted development practices.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Develop with multiple programming languages, AWS, databases, containers, APIs, and modern engineering tools. Provide technical leadership across Agile teams, establish coding and design standards, mentor engineers, improve system performance, reduce technical debt, and influence long-term technology strategy.

Develop secure, scalable software using React and Python within an agile banking technology team. Responsibilities include system design, application development, testing, troubleshooting, data analysis, architecture documentation, operational stability, and CI/CD practices. The role also requires responsible use and validation of enterprise AI-assisted coding tools, participation in engineering communities, and mentoring peers on secure AI-enabled development workflows.

Develop and maintain secure, scalable software solutions using React and Python in an agile enterprise environment. Responsibilities include system design, production coding, troubleshooting, architecture documentation, automated testing, data analysis, and operational stability. The role also requires responsible use of AI-assisted development tools, secure coding practices, peer validation of AI-generated outputs, and contributions to engineering communities and team culture.

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.

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 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.

Build and lead production Python software for technology-risk oversight, including data pipelines, PostgreSQL systems, authenticated APIs, and LLM agent workflows. Develop RAG, tool orchestration, evaluation, and guardrails; ensure security, auditability, observability, testing, reliability, and responsible AI use. Collaborate with Product, Risk, Controls, Compliance, and data teams while delivering dashboards and evidence packages.

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.

Design and deliver enterprise CI/CD platform capabilities used by thousands of software pipelines. Re-architect platform contracts and abstractions, embed compliance controls, lead technical projects, establish engineering standards, mentor engineers, and optimize distributed systems. Work across JVM languages, Go, Python, TypeScript, Kubernetes, workflow engines, and AWS services while supporting cloud infrastructure, APIs, automated testing, and AI-enabled development.

Lead engineering teams and technology projects that build reliable, cloud-native, full-stack systems. Design and implement distributed microservices, APIs, databases, and shared cloud platforms using Java, Python, AWS, containers, and modern AI tools. Provide technical leadership on architecture, resilience, observability, performance, coding standards, platform roadmaps, and enterprise technology strategy while mentoring engineers and partnering with product and architecture leaders.

Leads full-stack engineering projects and developer teams building large-scale, distributed, cloud-native systems. Responsibilities include architecture, platform roadmaps, regulatory solutions, technical leadership, mentoring, system design, cloud development, observability, reliability, and collaboration with product and architecture leaders. The role uses modern programming languages, databases, container orchestration, AWS services, APIs, CI/CD, infrastructure as code, and automated testing.

Leads software engineering projects and developers building cloud-based, full-stack solutions with microservices and network automation. Designs service boundaries, APIs, reusable frameworks, and distributed systems using AWS and multiple programming languages. Provides technical leadership across Agile teams, mentors engineers, improves performance, reduces technical debt, establishes engineering standards, and evaluates emerging technologies, AI tools, observability practices, and infrastructure automation.

Leads full-stack software engineering initiatives using cloud technologies, distributed microservices, databases, APIs, and modern programming languages. Provides technical direction across Agile teams, mentors engineers, partners with architects and product managers, establishes engineering standards, improves system performance, reduces technical debt, and evaluates emerging technologies including AI-based development tools.

Lead full-stack software engineering initiatives and developer teams building distributed, cloud-native systems and developer experience platforms. Design architectures, implement high-reliability services, shape technology roadmaps, mentor engineers, and collaborate with product and architecture leaders. Work with Java, Python, front-end frameworks, APIs, databases, Docker, Kubernetes, cloud platforms, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Build and lead full-stack software engineering projects using Java, Python, cloud platforms, microservices, databases, containers, and AI-enabled development tools. Provide technical leadership across Agile teams, define service architectures and integration patterns, improve system performance, reduce technical debt, establish engineering standards, mentor developers, and deliver secure cloud-based solutions supporting enterprise and regulatory needs.

Develop and maintain scalable backend data engineering solutions using Python, PySpark, and Databricks. Build, deploy, and support reliable data pipelines and platform modules for financial reporting and analytics. Design software architectures, troubleshoot complex systems, analyze financial data, participate in code reviews, and collaborate with product managers, architects, and engineering teams. Apply secure coding, agile development, CI/CD, resiliency, responsible AI-assisted development, and enterprise data governance practices.