Top Senior Software Engineer Jobs in Dallas, TX

Lead software engineering for P-8A AAS mission systems: design, integrate, and test real-time algorithms and sensor-control software, mentor engineers, perform system architecture and performance analysis, and support deployment and verification in a defense environment.

Design, build, test, and deploy backend RESTful microservices on cloud platforms. Provide technical leadership, mentor engineers, improve CI/CD, observability, and operational readiness, and apply AI-assisted/agentic development practices to accelerate and harden delivery.

Lead design and deliver secure, scalable production systems for banking data technology. Provide technical guidance, write and review high-quality code, drive product and architecture decisions, champion firmwide engineering practices (CI/CD, resiliency, security), and contribute as a subject-matter expert across streaming, cloud-native, and low-latency data platforms.

Design, develop, and troubleshoot high-performance, highly available backend APIs and services. Analyze technical requirements, manage product lifecycles, migrate legacy applications, and collaborate across departments. Mentor colleagues, introduce new solutions, and stay current with technology and development best practices.

Lead frontend development of high-quality React web applications, drive adoption of enterprise AI-assisted engineering practices, translate Figma designs to accessible UI components, implement state management, optimize performance, conduct code reviews, mentor junior developers, and ensure operational stability and secure development practices.

Lead design, build, and maintain low-latency options algorithmic trading systems. Develop secure, high-quality production code, optimize performance, integrate market data and FIX protocols, apply AI-assisted engineering practices, mentor engineers, and collaborate with product to translate strategies into scalable algorithms while ensuring operational stability and observability.

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, review code, drive architectural and product decisions, advocate firmwide tools and best practices, and apply cloud-native and machine-learning expertise to deliver resilient applications.

Lead development of Python-based microservices and ML-enabled applications on AWS. Participate across SDLC, design architectures, perform coding, code reviews, DevOps, and mentor engineers. Drive adoption of enterprise AI-assisted engineering practices, ensure secure, scalable deployments, and support production observability and CI/CD.

Lead strategy and development for multiple products and platforms. Design, build, and operate large-scale, cloud-native full‑stack distributed systems. Create reusable frameworks, drive technical best practices and adoption, mentor engineering teams, influence senior stakeholders, and apply Agentic AI/LLM/Generative AI to deliver secure, stable, high-performance banking technology.

Lead design, build, and support full-stack solutions (Java/Spring Boot backends, RESTful microservices, React/Angular UIs). Promote AI-assisted engineering, secure/resilient APIs, CI/CD, observability, and production support while collaborating with cross-functional teams.

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.

Lead development of secure, scalable Java microservices and APIs; drive adoption of enterprise AI-assisted engineering practices; produce architecture and design artifacts; improve code quality, CI/CD, and database models; mentor engineers and contribute to engineering communities of practice.

Build and operate secure, resilient AWS cloud foundation services using Java/Go. Design, develop, test, and automate production code, reduce operational burden, lead architecture/vendor evaluations, promote AI-assisted engineering practices, and drive reuse and validation standards across teams.

Lead technical design and deliver full‑stack software solutions. Develop, review, debug, and maintain production code; drive automation and operational stability; champion enterprise AI-assisted engineering practices; evaluate vendor/architectural solutions; lead engineering communities of practice and promote secure, resilient SDLC practices.

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 and deliver secure, high-quality Java/Spring Boot solutions across the SDLC. Drive AI-assisted engineering adoption, improve automation and operational stability, evaluate vendor architectures, coach teams on secure/responsible AI use, and support cloud-native, observability, and event-driven designs within financial services.

Lead an agile engineering team to design, develop, and operate secure, scalable applications. Provide technical guidance, write and review production code, drive AI-assisted engineering adoption, influence product design, and promote firmwide SDLC practices using cloud-native, microservices, and Big Data technologies.

Lead and deliver secure, high-quality full‑stack Java applications; provide technical guidance, drive AI-assisted engineering practices and governance, implement REST APIs, mentor teams, and promote reusable automation across the SDLC.

Lead design and build the API Platform: develop secure, scalable production code, remove technical debt, drive architecture and API standards, mentor engineers, adopt enterprise AI-assisted development practices, and ensure operational stability across cloud-native microservices.

Lead an agile team to design, develop, secure, and operate Salesforce-based solutions. Build and review production code, drive automation and CI/CD, evaluate vendor integrations, lead engineering communities of practice, and improve operational stability and resiliency.

Design, develop, and maintain scalable, secure Java/Python-based systems using Spring ecosystem. Produce high-quality production code, contribute to architecture, analyze large datasets, troubleshoot issues, and support CI/CD, resiliency, and security in an agile team.

Lead technical contributor on a risk technology team designing, building, and operating scalable, secure data solutions. Implement Snowflake data models, Databricks/Spark ETL pipelines, APIs on AWS, and CI/CD automation. Drive AI-assisted engineering adoption, mentor junior engineers, and ensure operational resiliency and secure software delivery.

Lead and deliver secure, scalable Java/Spring enterprise applications; drive adoption of enterprise AI-assisted engineering practices; design, develop, review, and stabilize production code; evaluate vendors and lead engineering communities of practice.

Lead development of secure, high-quality production software across the SDLC. Design, build, review, debug code, drive automation and CI/CD, promote cloud-native patterns, adopt and validate enterprise AI-assisted engineering practices, coach teams on responsible AI use, evaluate third-party solutions, and lead engineering communities of practice.

Lead cloud architecture strategy for AWS-based products: resiliency, cost optimization, IaC automation, security, observability, AI integration, scalability, and cross-team architectural standards while promoting enterprise-authorized AI-assisted engineering practices.