Software Engineer Jobs in Richardson, TX

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build cloud-based solutions using multiple programming languages, databases, container orchestration platforms, and cloud services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, support regulatory needs, and promote Agile engineering practices and developer productivity.

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

Leads software engineering efforts within an agile banking technology team. Provides technical guidance, develops and reviews secure production code, drives AI-assisted engineering practices, influences application design and technical operations, and supports system design, testing, troubleshooting, and production systems. Requires strong Java and Spring Boot skills, clean coding and design-pattern expertise, full software lifecycle experience, and experience with low-latency, high-throughput systems.

Lead a team delivering cloud-native, full‑stack microservices and enterprise platform solutions; collaborate with product managers, mentor engineers, and adopt modern technologies (containers, Kubernetes, AWS/GCP/Azure, multiple languages) to meet regulatory and customer needs.

Lead an agile engineering team to design, develop, and operate secure, scalable software incorporating generative AI and LLMs. Drive adoption of enterprise-authorized AI-assisted development practices, evaluate vendor solutions, improve automation and reliability, and mentor engineers on responsible AI, performance, and operational stability.

Lead and deliver cloud-native, microservices-based applications using Java and related technologies. Drive adoption of enterprise AI-assisted engineering practices, design scalable secure solutions, write and review production code, automate recurring issues, mentor teams, and promote modern engineering patterns and resiliency across the organization.

Lead a team and portfolio of backend-focused microservice projects, design cloud-based solutions, mentor engineers, collaborate with product managers, and build scalable systems using languages like Java, Python, Go, and container/orchestration and cloud technologies.

Lead engineering efforts to maintain and enhance an access governance system. Design and implement distributed, secure, and scalable solutions, promote AI-assisted engineering best practices, ensure validation standards, and collaborate across teams to improve code quality and operational outcomes.

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, influence product and architecture decisions, deliver high-quality code, and promote firmwide engineering practices and modern cloud-native technologies.

Lead technical contributor on Identity and Access Management teams building secure, scalable applications. Designs and develops production code, drives automation and CI/CD, enforces authentication/authorization/encryption, adopts AI-assisted engineering practices, evaluates vendors, and promotes secure coding, resiliency, and operational stability across teams.

Lead development and delivery of secure, production-grade AI-enabled applications. Design, code, test, and operate AI features; drive adoption of AI-assisted engineering practices; evaluate model safety and integrations; automate remediation and reliability; coach teams on responsible AI, secure coding, and CI/CD for cloud-native environments.

Lead design and build of agentic AI systems and production services. Produce secure, high-quality code and architectures, drive AI-assisted engineering practices, ensure observability, testing, compliance, and collaborate cross-functionally to deliver scalable, reliable agentic solutions.

Lead design and develop agentic AI systems and production services using Java/Python and Spring or Python web frameworks. Build secure, scalable production code, APIs, and CI/CD pipelines; apply LLM patterns (RAG, function calling), observability, testing, and responsible AI practices. Mentor teams, drive adoption of enterprise AI-assisted engineering, and ensure compliance, reliability, and operational excellence.

Lead design, develop, and deliver secure, scalable production software using Java/Python and cloud (AWS). Drive AI-assisted development adoption, evaluate vendors, automate remediation, mentor teams, and ensure CI/CD, resiliency, and security best practices.

Design, build, and operate agentic LLM toolchains to ingest mainframe artifacts, generate verified modern service specifications, translate code to Kotlin/JVM, implement RAG and evaluation pipelines, and run LLMOps for production reliability and migration parity testing.

Lead technical contributor on an agile Investment Banking engineering team. Design, develop, debug, and optimize secure production Java/J2EE/Spring Boot systems; drive adoption and validation of enterprise-approved AI-assisted engineering practices; lead vendor evaluations, automation and remediation efforts, and communities of practice; mentor engineers on responsible AI use and ensure test automation, performance tuning, and operational stability.

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 engineer for the Enterprise Observability Platform building secure, scalable cloud-native observability solutions. Designs and delivers production code, drives automation and remediation, leads vendor evaluations and communities of practice, promotes AI-assisted engineering and validation standards, and ensures CI/CD, resiliency, and security across the SDLC.

Lead design and deliver iOS platform infrastructure and reusable frameworks. Write production-quality Swift/Objective-C code, build testing and accessibility tooling (XCUITest, BDD/Cucumber), validate AI/ML features, support CI/CD and cloud device execution, and partner with scrum teams to monitor and resolve production issues.

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.

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.

Design, build, and operate enterprise-scale cloud network perimeter and egress proxy solutions. Develop secure production code, automate infrastructure with IaC, manage proxy infrastructure, troubleshoot connectivity, enforce policies and certificates, use AI-assisted workflows responsibly, and collaborate with application and platform teams to ensure secure, compliant cloud connectivity.