Software Engineer Jobs in Richardson, TX

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 guide agile teams to design, build, and deliver secure, scalable AI-enabled software. Develop and review production code, drive product and technical decisions, champion enterprise AI-assisted development practices, implement RAG/LLM architectures and vector stores, integrate cloud services and CI/CD, and establish responsible AI guardrails and validation standards.

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.

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.

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 design and build of agentic/LLM-based systems, produce secure production code and architecture, improve observability and testing, drive AI-assisted engineering practices, and collaborate across product, design, and operations while ensuring compliance and responsible AI use.

Lead design and build of agentic LLM systems and production services. Write secure production code, create architecture artifacts, run data-driven analysis, mentor engineers, enforce testing, observability, CI/CD, and compliance, and drive enterprise AI-assisted engineering practices.

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 architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns on AWS. Drive performance tuning, governance (Unity/Glue Catalog), CI/CD, automation, reusable libraries (Python/Java), and adoption of enterprise AI-assisted engineering practices while mentoring teams and ensuring secure, scalable production operations.

Lead design and build of agentic and AI-driven systems: produce secure production code, architecture artifacts, observability, and data-driven improvements. Champion AI-assisted engineering, compliance, testing, and cross-functional delivery for scalable, reliable agent services.

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 and mentor engineering teams to deliver cloud-based, full-stack microservices solutions. Collaborate with product managers, adopt new technologies, and occasionally write or review code to meet regulatory and customer needs.

Lead a team and portfolio building distributed microservices and full-stack cloud solutions to meet regulatory needs. Mentor engineers, collaborate with product managers, and deliver scalable AWS-based applications using modern languages, containers, and databases.

Lead and mentor a team to design and deliver cloud-based, full-stack microservices solutions. Collaborate with product managers, use modern languages and container orchestration, and drive technology adoption to meet regulatory and customer needs.

As a Lead Software Engineer, you will lead projects, mentor teams, and develop cloud-based solutions while utilizing various programming languages and technologies.

Lead diverse technology projects and teams to develop solutions for regulatory needs using emerging technologies and cloud-based services. Mentor engineers and deliver impactful software solutions.

Lead a portfolio of technology projects and a team of developers to build distributed microservices and full-stack cloud solutions. Mentor engineers, collaborate with product managers, drive regulatory-focused technical solutions, and leverage Java, Go, JavaScript/TypeScript, Python, SQL, Docker, Kubernetes, and AWS tools.

Lead a team and portfolio of full-stack, cloud-native projects delivering distributed microservices to meet regulatory needs. Collaborate with product managers, mentor engineers, and build robust AWS-based solutions using containers, databases, and multiple programming languages.

Lead a team building distributed microservices and full-stack cloud solutions, collaborate with product managers, mentor engineers, and deliver enterprise platforms using modern languages, container orchestration, open source databases, and AWS tooling to meet regulatory and customer needs.

Lead a portfolio of technology projects and a developer team to build distributed microservices and full-stack cloud solutions. Collaborate with product managers, mentor engineers, and deliver scalable, secure platforms using modern languages, databases, container orchestration, and AWS cloud services to meet regulatory and customer needs.

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 design, develop, and deliver secure, high-quality full-stack applications. Produce and review production code, troubleshoot, automate remediations, evaluate architectures and vendors, champion engineering best practices and responsible AI use, and lead communities of practice to improve stability and delivery.

Lead technical design and deliver secure, high-quality iOS and mobile applications using Swift, SwiftUI, and Objective-C. Mentor peers, review code, adopt enterprise AI-assisted development tools, implement native features (Camera, Push, GPS, CoreML), integrate APIs, ensure mobile security, and support SRE practices within Agile/CI-CD workflows.

Lead design, build, and deploy enterprise-grade AI solutions (RAG, agentic systems, LLM integrations). Use AI-assisted development tools daily, architect scalable secure systems on AWS, write production code, own end-to-end outcomes, evaluate vendors, and drive cross-team alignment and automation to improve operational stability.

Lead technical delivery of cloud-native, microservices-based applications. Design, develop, and maintain secure, scalable systems; drive adoption of AI-assisted engineering practices, CI/CD, automation, and resilient architectures. Mentor engineers, lead code quality and operational stability efforts, and collaborate with stakeholders to deliver production-ready solutions.