Software Engineer Jobs in Irving, TX

Design, develop, test, deploy, support, and maintain scalable enterprise software applications. Lead architecture and design discussions, contribute to technology strategy, collaborate with cross-functional teams, and support Agile delivery through refinement, estimation, testing, and continuous integration. Mentor engineers, conduct code reviews, improve engineering practices, and develop solutions across multiple technology domains using full-stack, cloud, database, and API technologies.

Leads end-to-end software engineering and solution delivery for commercial lending products. Provides architecture direction, hands-on design and coding, code reviews, technical strategy, roadmap development, Agile team leadership, proof-of-concept development, and platform stability improvements. Partners with product, architecture, platform, and leadership teams to deliver secure, scalable enterprise solutions while leveraging cloud, AI, automation, and data engineering capabilities.

Provides technical leadership for scalable cloud-native applications supporting prior authorization operations. Designs and supports microservices, distributed systems, APIs, event-driven architectures, and AI-powered workflow automation. Develops production Generative AI, LLM, RAG, and agentic AI solutions while collaborating with data, product, and business teams. Leads modernization, architecture, reliability, observability, production support, mentoring, and engineering best practices across secure, regulated environments.

Leads end-to-end quality engineering for enterprise and distributed applications, including manual and automated testing, API and database validation, Kubernetes application testing, edge-environment validation, defect management, root-cause analysis, and CI/CD integration. Develops test strategies and automation frameworks, supports Agile ceremonies, validates scalability and resiliency, collaborates with cross-functional teams, and mentors junior quality engineers.

Build and enhance cross-platform iOS and Android applications using React Native. Integrate RESTful APIs, write tested and maintainable code, troubleshoot device and operating-system issues, and support mobile CI/CD, build, and release pipelines. Collaborate with Product, UX, backend, SRE, and Architecture teams while ensuring performance, security, accessibility, and architectural quality.

Develops production-quality C++ software for autonomous and semi-autonomous machine localization, positioning, navigation, and state estimation. Designs algorithms using GNSS, inertial sensors, perception systems, and filtering techniques; researches and deploys localization solutions; and supports architecture, testing, validation, documentation, functional safety, and product quality. Collaborates cross-functionally and mentors junior engineers.

Build scalable automated testing for Java and Spring Boot microservices, REST APIs, event-driven services, databases, and distributed workflows. Develop comprehensive functional, integration, performance, resilience, and recovery tests; validate asynchronous behavior, state transitions, contracts, and failure modes. Integrate automation into CI/CD pipelines, establish quality metrics and release criteria, review AI-generated test code, and mentor engineering teams in test-first practices.

Lead technical design and delivery of scalable backend microservices using Java and Spring Boot. Provide architectural guidance, mentor engineers, establish secure AI-assisted development workflows, drive cloud-native deployments on AWS/Azure, and ensure software quality through reviews, testing, and operational readiness. Influence cross-functional delivery and build reusable platform patterns that enable production AI/agent integrations and platform scalability.

Design, build, and deploy production-grade Java and Python applications with observability integrated throughout. Standardize telemetry using OpenTelemetry, leverage BigPanda and Google Cloud Observability, and develop AI/ML-enabled predictive and self-healing operations. Define SRE metrics, troubleshoot complex systems, lead automation initiatives, and provide technical guidance across engineering teams.

Design and develop scalable software solutions and distributed systems for Citi’s digital platforms. Lead architecture and engineering decisions, build AI and large language model capabilities, and drive enterprise adoption of generative AI. Develop full-stack applications, APIs, data models, messaging integrations, and cloud-native infrastructure. Collaborate with stakeholders, promote lean engineering practices, and deliver reliable production systems through rapid iteration and continuous improvement.

Designs, develops, tests, documents, and supports clinical software applications in a regulated production environment. Responsibilities include full SDLC delivery, code reviews, automated testing, architecture participation, observability, incident response, root-cause analysis, operational automation, and compliance documentation. The engineer works with product management and uses AI-assisted development tools while supporting FDA and SOX-controlled systems.

Contributes to clinical software development by implementing features, fixes, and automation under senior guidance. Writes tested, documented code; participates in peer review, requirements discussions, observability, incident analysis, and regulated FDA and SOX change-control practices. Builds characterization and automated tests, uses AI coding assistants, documents operational procedures, and develops production engineering skills in a collaborative healthcare technology environment.

Develop and test full-stack banking and credit card applications across web and mobile channels. Build Angular frontends and Spring Boot microservices, create automated and manual tests using BDD, Selenium, Appium, and Postman, and maintain Jenkins CI/CD pipelines. Validate ADA accessibility, manage testing artifacts and traceability, perform defect root-cause analysis, support production releases, and collaborate with distributed Agile teams. The role also provides technical leadership, process improvement, documentation, and mentoring.

Design, architect, and develop distributed backend systems and RESTful microservices using Java and Spring Boot. Integrate with AWS serverless services, build CI/CD pipelines, implement automated testing, mentor junior engineers, lead full software lifecycle, and optimize performance and security.

Develop and support scalable Python-based RESTful APIs and cloud infrastructure throughout the software development lifecycle. Responsibilities include system design, implementation, testing, deployment, security, database integration, microservices, CI/CD, containerization, message processing, documentation, and maintenance. The role collaborates with product, UX, architecture, and engineering teams in an Agile/Scrum environment while using AI-assisted development tools and following secure, maintainable coding practices.

Provides technical leadership for customer identity, consent management, and AI platforms. Designs and builds secure, scalable cloud-native solutions using .NET, React, Kubernetes, Docker, CI/CD, and modern APIs. Leads identity and authorization architecture, AI-powered applications, agent workflows, automated testing, reliability, and security practices. Mentors engineers, influences architecture, collaborates across teams and vendors, supports Agile and DevOps delivery, and serves as a subject matter expert for core systems.

Develop and analyze software using C/C++. Requires experience with Linux/Unix, network programming, and database technologies. Strong communication skills are necessary.

The Scala Software Engineer will develop secure, scalable backend systems, implement REST APIs, and work with Scala frameworks and AWS infrastructure, while embracing functional programming principles.

The Senior Software Systems Engineer focuses on centralizing ERP data into a Hadoop platform, requiring expertise in PeopleSoft, SQL, and analytics for reporting and UAT coordination.

Design, develop, test, deploy, and maintain scalable React/Node applications and backend services on AWS. Troubleshoot production issues, participate in architecture and code reviews, drive CI/CD/DevOps practices, optimize performance and security, mentor junior engineers, and collaborate in Agile teams.

As an Applications Developer, you will develop and maintain custom software, ensuring timely completion of tasks and effective communication of application design and architecture.

Design, develop, test, maintain, and support software applications focused on APIs and system integration. Participate in Scrum ceremonies, troubleshoot production issues, analyze and optimize SDP modules, collaborate on requirements and technical solutions, and provide customer-facing platform support. The role requires strong diagnostic, documentation, and software engineering skills, with experience in Java, Spring Boot, Python, SQL, Linux/Unix, AWS, monitoring tools, and related technologies.

Design, build, test, and maintain API-led, event-driven, and batch integrations across cloud, on‑prem and hybrid systems; administer and upgrade iPaaS/middleware (WebMethods, Boomi, MFT); implement data transformations and API management; troubleshoot production integration issues; enforce governance, CI/CD, release management, and platform health.

Designs, builds, tests, and maintains regulated clinical software for case management and order intake. Leads architecture discussions, code reviews, production monitoring, incident response, automated testing, technical documentation, and technical-debt remediation. Collaborates with product management, mentors engineers, and uses AI-assisted development workflows. The role supports reliable, compliant software delivery under FDA and SOX controls, with occasional travel and scheduled on-call participation.

Design, develop, modify, test, and document enterprise applications across functions (finance, HR, marketing). Create system implementations, conversion plans, and train users. Participate in coding, debugging, and recommending development and maintenance standards.