Top Python Jobs in Dallas, TX

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.

Lead enterprise infrastructure automation using Python, cloud-native architecture, Infrastructure as Code, APIs, and workflow orchestration. Design secure automation for network and cryptographic infrastructure, provisioning, configuration, lifecycle management, deployments, and self-service capabilities. Build integrations and maintain reliable automation frameworks while collaborating with network and platform teams. Apply AI-assisted development responsibly, considering security, compliance, privacy, and operational risks. The role also requires technical leadership across complex companywide initiatives and support for distributed application environments.

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.

Develop and maintain secure, scalable full-stack applications and data pipelines using Java, Python, SQL, and AWS. Design cloud-native finance data solutions, analyze large datasets, create architecture artifacts, troubleshoot production systems, participate in code reviews, and collaborate with product and engineering teams. Apply AI-assisted development tools responsibly while ensuring code quality, security, resiliency, and regulatory compliance.

Lead a team building distributed microservices and full-stack cloud solutions (Java, Go, Python, JS/TypeScript) on AWS. Mentor engineers, collaborate with product managers, drive regulatory-related technical projects, and apply containerization (Docker, Kubernetes) and both RDBMS and NoSQL databases to deliver scalable customer experiences.

Develops secure, scalable software solutions using React and Python within an agile banking technology team. Responsibilities include designing complex applications, writing and troubleshooting production code, creating architecture artifacts, testing with React Testing Library, Jest, pytest, and unittest, analyzing data, improving system architecture, and maintaining operational stability. The role also uses and promotes responsible AI-assisted development tools, automation, secure coding, resiliency, and collaboration across software 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.

Lead development of API-driven network automation and frameworks using Python and automation tools. Translate manual procedures into secure, maintainable automation, collaborate with network and platform teams, and apply AI-assisted development responsibly to accelerate design, testing, and troubleshooting.

Develops and troubleshoots secure Python software solutions and APIs within a large corporate environment. Responsibilities include database and data analysis, full SDLC participation, agile development, CI/CD, application resiliency, security, and responsible use of AI-assisted coding tools. The role considers upstream and downstream system impacts, validates AI-generated outputs, contributes reusable engineering practices, and supports technical problem-solving and team collaboration.

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.

Lead and mentor agile teams to design, build, and operate secure, scalable production systems. Develop and review high-quality code, drive SDLC improvements, and govern enterprise AI-assisted engineering practices. Apply cloud-native (AWS) solutions, ensure operational stability, and promote secure coding, automated testing, and reusable patterns across the organization.

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.

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.

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 a portfolio of cloud-native full‑stack and SRE projects, mentor engineers, collaborate with product managers, and deliver resilient AWS/GCP/Azure services using Java, Python, containers, orchestration, and observability tooling.