Top Python Jobs in Dallas, TX

Leads full-stack software engineering teams, technical strategy, cloud-native architecture, and large-scale distributed system delivery. Responsibilities include managing engineering teams, mentoring leaders, driving technology roadmaps, overseeing Agile programs, aligning engineering execution with business goals, and ensuring reliable, high-performance solutions. The role involves collaboration with product, architecture, and platform leaders, occasional coding or code evaluation, succession planning, and adoption of modern technologies including AWS, microservices, containers, databases, and AI-based development tools.

Lead software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Provide technical leadership across Agile teams, establish engineering standards, define service architectures, reduce technical debt, improve system performance, and mentor engineers. The role uses Java, Python, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and other modern technologies.

Leads software engineering and SRE initiatives for secure, scalable production platforms. Designs Python or Java automation, LLM and agent solutions, data pipelines, monitoring, and resiliency practices. Owns application security, risk controls, compliance, lifecycle management, incident response, and service-level objectives. Coordinates execution across engineering teams, promotes AI-assisted development, and coaches teams on secure, responsible AI adoption.

Leads software design, development, testing, troubleshooting, and production support for secure, scalable enterprise applications. Builds and maintains code using Python or Java, AWS services, PySpark, databases, CI/CD tools, and Terraform. Develops architecture artifacts, data visualizations, and pipelines; improves system resiliency, observability, and coding practices. Resolves production issues, promotes AI-assisted engineering, and contributes to technical communities and agile team culture.

Leads software engineering for secure, scalable banking technology products. Designs, develops, tests, reviews, debugs, and troubleshoots production code using Python, Java, Spring, and AWS. Drives automation, CI/CD, application resiliency, security, and operational stability. Promotes responsible AI-assisted development practices, evaluates vendor technologies, coaches engineers, and leads communities of practice.

Leads software engineering within an agile banking technology team. Designs, develops, secures, tests, troubleshoots, and operates scalable applications using Python, Java, Spring, and AWS. Reviews code, improves automation and operational resilience, promotes responsible AI-assisted engineering practices, and evaluates architectural solutions with vendors and internal teams. The role requires strong cloud-native development, CI/CD, web security, system design, and production support experience.

Lead end-to-end delivery of cloud-native, full-stack software initiatives, defining architecture, engineering standards, reliability practices, observability, CI/CD, and secure production operations. Build microservices, APIs, and AI capabilities using LLMs and generative AI. Guide responsible AI-assisted development, lead incident response and continuous improvement, mentor engineers, and align technical priorities across stakeholders and initiatives.

Leads development of full-stack, cloud-native software using Java, Python, and AWS. Builds secure microservices, APIs, and LLM-powered capabilities; establishes engineering, testing, reliability, observability, and CI/CD standards; mentors engineers; drives responsible AI-assisted development; and manages production operations, incident response, and technical direction across agile initiatives.

Build and operate secure AWS-based data platforms and control planes using Python, React, and infrastructure-as-code. Develop backend services, APIs, provisioning automation, self-service workflows, and Databricks enablement. Implement IAM, encryption, networking, observability, CI/CD, testing, and reliability practices. Collaborate with security, data engineering, and application teams while responsibly using enterprise AI-assisted development tools.

Leads and develops full-stack software solutions using cloud technologies, distributed microservices, APIs, databases, and modern front-end and back-end frameworks. Provides technical leadership across Agile teams, mentors engineers, establishes coding and design standards, partners with architects and product managers, improves system performance, reduces technical debt, and influences long-term technology strategy.

Leads full-stack software engineering projects and development teams, building cloud-based solutions with microservices, APIs, databases, container orchestration, and front-end frameworks. Provides technical leadership, establishes engineering standards, mentors developers, partners with architects and product managers, improves system performance, reduces technical debt, and influences technology strategy across Agile teams.

Leads development of secure, scalable software solutions for network automation. Designs, codes, tests, debugs, and reviews production systems using Python, React, Django, and FastAPI. Promotes AI-assisted engineering practices with strong validation, security, and responsible-use standards. Builds microservices, APIs, and event-driven solutions; improves application resiliency and automation. Partners with internal teams, vendors, and startups to evaluate architectures and deliver sustainable technical outcomes in an agile environment.

Leads development of secure, scalable Python backend and AWS cloud-native applications using microservices, serverless, containers, and infrastructure as code. Designs distributed systems, APIs, data stores, CI/CD pipelines, observability, resiliency, and security controls. Troubleshoots production incidents, conducts root-cause analysis, optimizes performance, modernizes dependencies, promotes AI-assisted engineering practices, and mentors team members while collaborating with product, platform, SRE, security, and data teams.

Leads software engineering for secure, scalable enterprise applications within an agile infrastructure platform team. Provides technical direction, develops and reviews production code, modernizes architectures, and establishes engineering governance across SDLC practices. Drives responsible AI-assisted development, automated testing, observability, secure coding, and operational stability. Serves as a technical subject matter expert, mentors engineers, promotes reusable frameworks, and influences product design, application functionality, and technical operations.

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 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.

Develop and maintain scalable web applications using Python and React or Angular. Build REST APIs, microservices, backend components, and responsive front-end interfaces. Integrate databases, third-party services, and cloud platforms; troubleshoot and optimize applications; write testable code; participate in code reviews and Agile ceremonies; and collaborate with product, architecture, and cross-functional teams.