Top Python Jobs in Dallas, TX

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, mentor engineers, establish engineering standards, and optimize distributed systems. Work across JVM languages, Go, Python, TypeScript, Kubernetes, workflow engines, containers, and AWS services while supporting automation, cloud infrastructure, APIs, testing, observability, and AI-assisted development.

Build AI-driven governance and resilience solutions for enterprise cloud infrastructure. Design intelligent guardrails, distributed systems, microservices, and full-stack platforms using Go, Python, Java, TypeScript, AWS, Docker, and Kubernetes. Lead architectural vision, technical roadmaps, testing, deployment, and optimization while writing code, conducting reviews, mentoring engineers, and collaborating with product, data science, and risk teams.

Design, deliver, and re-architect enterprise CI/CD platform capabilities used by thousands of software pipelines. Lead technical initiatives, establish engineering standards, build compliance controls into delivery platforms, and mentor engineers. Work across JVM languages, Go, Python, TypeScript, Kubernetes, distributed systems, workflow engines, and AWS services while improving platform scalability, performance, automation, and developer productivity.

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 initiatives, establish engineering standards, mentor engineers, and work across cloud, container, distributed systems, workflow, and programming language technologies. Troubleshoot cloud environments, improve distributed-system performance through observability, and leverage AI-based development tools.

Build and lead full-stack software engineering projects using distributed microservices, cloud platforms, APIs, databases, and modern development frameworks. Provide technical leadership across Agile teams, define architecture and integration patterns, mentor engineers, improve system performance, reduce technical debt, and establish engineering standards. The role requires collaboration with product managers and architects to deliver reliable cloud-based solutions and influence long-term technology strategy.

Develops scalable, secure, and resilient Java or Python systems within an IAM team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. Leads responsible adoption of AI-assisted engineering tools, establishes validation and security standards, coaches engineers, and partners with architecture, data science, risk, compliance, and business teams.

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.

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.

Design, develop, test, deploy, and maintain software applications and systems. Collaborate with product, QA, and engineering teams throughout the software development lifecycle. Write maintainable code, troubleshoot defects and performance issues, improve development processes, document technical designs, and evaluate emerging technologies. The role requires Java or Python experience, cloud knowledge, operating-system familiarity, and strong software engineering fundamentals.

Designs and develops scalable, cloud-native Python backend services and APIs using microservices, serverless, and event-driven architectures. Builds AWS solutions with Lambda, containers, databases, caching, infrastructure as code, CI/CD, observability, and security best practices. Troubleshoots production systems, improves performance and cloud efficiency, applies reliability engineering practices, and provides technical leadership in an onsite Plano environment.

Design, build, and operate scalable, reliable Python backend services, REST APIs, and microservices. Use AWS cloud-native technologies, containers, infrastructure as code, and CI/CD pipelines. Implement security, monitoring, logging, alerting, observability, automated testing, and production support while participating in code reviews and Agile development.

Develop and maintain Python backend applications, REST APIs, and microservices. Design AWS cloud solutions using serverless, container, database, messaging, networking, and security services. Build containerized deployments, infrastructure as code, CI/CD pipelines, automated tests, monitoring, logging, alerting, and observability practices. Participate in code reviews, Agile development, production support, and technical problem-solving.

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.

Develop, debug, and support scalable, secure software components throughout the SDLC. Build RESTful services, automation, and embedded-system applications while collaborating with product, QA, DevOps, SRE, and customer success teams. Participate in Agile Scrum planning, testing, releases, and issue prevention. Apply knowledge of operating systems, databases, cloud platforms, cybersecurity threats, and network vulnerabilities to deliver reliable software.

Design, develop, deploy, and operate scalable backend services, microservices, APIs, and event-driven systems for cloud and IoT platforms. Build CI/CD pipelines and cloud-native deployments, secure device-to-cloud communications, optimize SQL and NoSQL data models, and troubleshoot application, messaging, network, and infrastructure issues. Collaborate with network and security teams, mentor engineers, conduct code reviews, and promote reliable, secure, maintainable production systems.

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 scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

As a Senior Quantitative Software Engineer, you'll implement and optimize Python solutions for quantitative risk initiatives, collaborating with global teams to enhance financial risk management through reliable systems.

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‑stack Python/Django developer responsible for front‑end and back‑end work: convert PSDs to HTML/CSS, implement JavaScript, build and maintain Django apps, deploy sites, generate reports from multiple databases, and collaborate with clients and a distributed team.

Develop and maintain Python applications using CPython and GUI plugins (PyQt/PySide). Use Microsoft TFS for source control, collaborate with clients and global teams, and apply analytical skills within the Finance domain.

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).

Develop and maintain software using Python/C/Java in Linux environments. Apply strong algorithms and data-structure skills, perform Linux scripting, work with SQL/NoSQL databases, and support web technologies (HTML, HTTP, Apache/Nginx). Collaborate in Agile teams.