Top Senior Python Jobs in Dallas, TX

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 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.

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.

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.

Leads software engineering projects and developer teams building large-scale, cloud-native, distributed systems. Designs and implements full-stack solutions using Java, Python, AWS, microservices, databases, containers, and modern web technologies. Provides technical leadership, shapes architecture and platform roadmaps, mentors engineers, establishes engineering standards, and drives reliability, observability, performance, and cross-functional delivery.

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.

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.

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.

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.

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 projects and manages developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, mentors engineers, evaluates and occasionally writes code, and drives technology modernization using Java, Python, AWS, databases, containers, and related technologies to address regulatory and customer needs.

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.

Lead the architecture and hands-on development of scalable, highly available Python applications for quantitative and market risk domains. Build stress testing and regulatory risk solutions, APIs, distributed systems, and cloud-native deployments. Apply secure coding, testing, CI/CD, performance optimization, and software architecture practices while collaborating with Risk, Quants, DevOps, and production teams. Own technical planning and delivery in a globally matrixed environment.

Lead hands-on Python application architecture and development for scalable, highly available systems in quantitative and market risk domains. Build stress-testing and regulatory-risk solutions, APIs, distributed services, and database integrations. Drive SDLC practices, code reviews, CI/CD, testing, security, troubleshooting, and performance optimization. Collaborate with Risk, Quant, Front Office, DevOps, and production teams while managing technical initiatives in a global environment. Apply cloud, containerization, AI/ML, and generative AI technologies where appropriate.

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.

The Software Engineer Principal will lead analytics processes, define and maintain APIs, improve query performances, mentor junior staff, and develop analytical solutions for decision-making.

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.

Designs, develops, and delivers scalable software across cloud-native and on-premises architectures. Responsibilities include building AI-enabled applications, leading complex features from technical design through completion, applying secure coding and privacy practices, and using AI-assisted development tools. The role also involves collaborating across teams, potentially mentoring engineers, and working with cloud platforms, Kubernetes, CI/CD, infrastructure as code, and network automation.