Software Engineer Jobs in Irving, TX

Develop and maintain infrastructure automation applications and services (frontend and backend), build APIs and microservices, manage CI/CD pipelines and container deployments, support production troubleshooting and performance optimization, and contribute to AI-enabled solutions using RAG and agentic workflows.

Design, build, test, and deploy secure, scalable backend microservices (Java/Spring Boot) on cloud platforms (AWS/Azure). Contribute to platform capabilities, CI/CD, observability, and AI-assisted development workflows; validate AI-generated code; collaborate in Agile teams; support Python or front-end tasks as needed; produce documentation and operational runbooks.

The Cyber AI Senior Specialty Software Engineer will design, develop, and deploy AI applications while integrating them with existing systems and resolving technical issues.

Lead architecture and build scalable AI-driven document processing systems for Enterprise Content Management. Design, code, test, and review large-scale microservices solutions, mentor teams, and drive adoption of AI models and enterprise best practices.

Senior individual contributor designing, coding, testing, and maintaining cloud management and Infrastructure-as-Code platforms. Develop microservices, APIs, containerized applications, CI/CD pipelines, and integrate with AWS/Azure/GCP. Drive Golang standards, support generative AI (RAG/agentic) use cases, and create documentation and best practices for large-scale infrastructure automation.

Lead strategy, design, and implementation of high-fidelity digital twins and simulation ecosystems for robotics and autonomous construction. Define multi-year roadmaps, create system-level architectures, integrate simulation tools with real-time data, oversee model validation and governance, and partner with cross-functional teams to align simulation solutions with business and autonomy requirements.

Lead engineering and operational work to support, modernize, and maintain enterprise Apache Kafka streaming platforms; design, code, test, debug, document solutions; define standards and best practices; guide Kafka adoption, onboarding, and production readiness; lead projects and mentor teams to ensure scalable, observable, highly available event-streaming services.

Provide technical leadership for architecture and integration of Physical AI services, digital twin and simulation data exchange, and cloud-native backend platforms. Design and build scalable microservices and APIs (Java, Spring Boot, Python), enforce API standards, drive engineering excellence (CI/CD, observability), mentor engineers, and guide integration, reliability, and platform simplification across teams.

Lead hands-on ServiceNow SPM engineer responsible for designing, building, testing, and deploying custom ServiceNow SPM solutions. Own integrations, tables, workflows, business rules, and scripting. Mentor engineers, influence platform architecture, and ensure secure, scalable enterprise-aligned delivery.

Join the Data Management team as a Software Engineer focusing on development, customization, and integration of MDM solutions using ETL tools to maintain data quality.

As a Software Engineer, you'll design AI applications, implement multi-agent architectures, build RAG pipelines, and ensure enterprise-grade reliability by optimizing performance and collaborating with teams.

Design, develop, test, operate and maintain mainframe software with focus on reliability, scalability and customer experience. Write production-ready code, perform code reviews, troubleshoot failures, apply security and compliance best practices, and collaborate in Agile/DevOps teams to support high-volume transaction environments.

Design, develop, test, and maintain scalable software using Java, Python, or JavaScript and frameworks like Spring, React, or Node.js. Write unit/integration tests, participate in code reviews, troubleshoot production issues, document designs, and mentor junior developers while collaborating with stakeholders to deliver reliable software.

Develop, test, operate and maintain backend-driven mobile applications and SDK integrations. Write production-ready code, perform code reviews, troubleshoot client/backend issues, ensure security/compliance, and follow Agile and DevOps practices to support high-scale production systems.

Lead architecture, design, development, and delivery of a cloud-native digital assets and tokenization platform. Build secure, scalable microservices and integrations with blockchain networks, custody providers, wallets, payment rails, and core banking systems. Drive engineering standards, CI/CD, observability, and mentor engineering teams while partnering with product, compliance, risk, and security stakeholders to deliver compliant, real-time payment and settlement capabilities.

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

Maintain and enhance U.S. Bank's Customer Information System and Hogan platforms. Design, develop, test, and operate mainframe services/APIs, diagnose and resolve incidents, perform code reviews, ensure security/compliance, collaborate with business and cross-functional teams, mentor peers, and participate in Scrum-driven delivery.

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.

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.

Design, develop, test, operate and maintain full‑stack banking software. Own production‑ready code, follow architectural and security standards, perform code reviews, troubleshoot failures, and collaborate in Agile/DevOps environments to deliver scalable, reliable features.

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 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.

Lead architecture and integration for simulation platforms and digital twins, design scalable cloud-native backend microservices and APIs, define integration standards (REST, gRPC, event-driven), drive observability and CI/CD, adopt AI-assisted development practices, mentor engineers, and collaborate across teams to deliver secure, high-performance platform capabilities.

Develop and maintain backend Java services using Spring Boot and related stack. Write and review code and automated tests, troubleshoot production issues, perform performance profiling, and integrate REST/SOAP APIs. Work with technical leads on low-level design, implement microservices and micro-frontend components, and use AWS services (Kinesis, Lambda, EC2).

As a Digital Software Engineer Senior Analyst (SDET), you will develop and test banking features for web and mobile platforms, engage in all stages of SDLC, and ensure high quality through automation and manual testing.