Top Senior Python Jobs in Dallas, TX

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.

Develops scalable, resilient software and AI-powered capabilities for identity and access management. Designs, codes, tests, troubleshoots, and maintains secure production systems using Java or Python. Leads responsible adoption of AI-assisted development tools, establishes validation and security standards, contributes to architecture, analyzes large datasets, and improves software quality, resiliency, and operational outcomes. Collaborates with engineering, architecture, data science, risk, compliance, and business teams in an agile environment.

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 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.

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.

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.

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.

Leads infrastructure engineering for software-defined retail branch platforms, modernizing C#/.NET and PowerShell systems into AI-native, agentic platforms. Designs agentic workflows, MCP integrations, cloud infrastructure, and automation; resolves complex systems issues; delivers modernization programs; promotes AI-assisted engineering practices; and ensures resiliency, security, compliance, traceability, and auditability.

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.

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 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 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.

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 and implements new or revised application systems in coordination with technology teams. Responsibilities include feasibility analysis, application design, construction, testing, implementation, user support, performance tuning, security recommendations, and troubleshooting. The role requires advanced programming expertise in Java, Python, PL/SQL, and PySpark, along with Agile and SDLC knowledge. Serves as a subject matter expert, advises stakeholders, coaches junior analysts, and exercises independent judgment in managing complex technology initiatives.

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.