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.
Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Help Build the Future of Caterpillar
At Caterpillar, technology always has a purpose: solving our customers toughest challenges. Through Cat Technology, we are building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable.
Job Summary
The Senior Software Test Engineer helps build quality into the Autonomy Services Platform by creating scalable automation for mission, task, command, state, and integration services. This is an opportunity to shape how modern microservices and APIs are validated, use AI-assisted coding platforms to accelerate automation, and improve the reliability of software that supports intelligent machines and autonomous operations at global scale.
What You Will Do
What You Will Have
Consideration for Top Candidates
Additional Details
Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa sponsorship is available for eligible applicants.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Help Build the Future of Caterpillar
At Caterpillar, technology always has a purpose: solving our customers toughest challenges. Through Cat Technology, we are building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable.
Job Summary
The Senior Software Test Engineer helps build quality into the Autonomy Services Platform by creating scalable automation for mission, task, command, state, and integration services. This is an opportunity to shape how modern microservices and APIs are validated, use AI-assisted coding platforms to accelerate automation, and improve the reliability of software that supports intelligent machines and autonomous operations at global scale.
What You Will Do
- Design and build automated test frameworks for Java/Spring Boot microservices, REST APIs, event-driven services, databases, and distributed workflows.
- Create API, contract, component, integration, end-to-end, regression, performance, resilience, and failure-recovery tests for autonomy platform services.
- Use AI-assisted coding tools and software engineering agents to accelerate test generation, test-data creation, mocks, stubs, failure analysis, refactoring, and documentation.
- Review and validate AI-generated test code for correctness, security, maintainability, coverage, and alignment with engineering standards.
- Validate asynchronous processing, state transitions, retries, timeouts, duplicate requests, message ordering, idempotency, backpressure, and partial-failure recovery.
- Integrate automated tests into CI/CD pipelines and define quality metrics, release-readiness criteria, and actionable feedback for engineering teams.
- Partner with developers, architects, product teams, and mission teams to translate requirements and service contracts into executable tests and mentor others in test-first engineering practices.
What You Will Have
- Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software quality and adherence to stated requirements.
- System Testing: Knowledge of system and software testing; ability to design, plan, and execute system-testing strategies across all stages of the system lifecycle.
- Software Development: Knowledge of software development tools and activities; ability to build maintainable test frameworks, utilities, and production-quality automation code.
- Software Integration Engineering: Knowledge of integration processes and functions; ability to validate APIs, events, data contracts, interfaces, and dependencies across distributed systems.
- Decision Making and Critical Thinking: Knowledge of decision-making tools and techniques; ability to analyze risks, identify failure modes, prioritize coverage, and make informed quality and release-readiness decisions.
Consideration for Top Candidates
- Strong hands-on experience building software test automation for backend microservices, REST APIs, event-driven systems, and cloud-native applications.
- Experience testing Java 17+ and Spring Boot services using tools such as JUnit, Mockito, Testcontainers, WireMock, REST Assured, Cucumber, or equivalent frameworks.
- Experience with AWS, Docker, Kubernetes, CI/CD pipelines, Kafka or similar messaging platforms, and automated test-environment or test-data setup.
- Practical experience building automation with AI-assisted coding platforms such as GitHub Copilot, Claude Code, Cursor, or equivalent tools, including structured context, verification criteria, human review, and responsible AI controls.
- Strong understanding of API contracts, state management, asynchronous processing, retries, idempotency, observability, resiliency, performance, and security testing.
- Experience creating reusable mocks, stubs, simulators, service virtualization, and integration-test harnesses for systems with unavailable or evolving dependencies.
- Experience with autonomy, robotics, machine integration, industrial systems, simulation-based testing, Software-in-the-Loop, Hardware-in-the-Loop, or Python-based test tooling is preferred.
- A self-driven, ownership-oriented mindset with a focus on continuous improvement, defect prevention, and building quality into the engineering process.
Additional Details
- This position is based in Irving, TX.
- This is a hands-on software quality engineering role focused on automation, APIs, microservices, distributed systems, and platform reliability; it is not primarily a manual testing role.
Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
- Tuition Reimbursement
* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa sponsorship is available for eligible applicants.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
Similar Jobs at Caterpillar
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Develop and maintain Java applications, microservices, and APIs for Caterpillar’s MineStar ecosystem. Lead AI-assisted software delivery using agentic workflows, prompt engineering, orchestration, and human validation. Ensure secure, reliable, tested, and maintainable solutions through architecture, code reviews, quality gates, CI/CD, observability, and production support. Provide technical leadership, mentor engineers, troubleshoot incidents, create reusable AI delivery patterns, and collaborate with Product, Engineering, and Quality teams.
Top Skills:
Agentic WorkflowsAi OrchestrationAutomated TestingCi/CdDatabase TechnologiesDevOpsDistributed ArchitectureJavaMicroservicesObservabilityPrompt EngineeringRestful ApisSpringSpring Boot
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Design, develop, validate, and deploy production-quality localization software for autonomous and semiautonomous systems. Research positioning algorithms, implement filtering solutions using perception, inertial, and GNSS inputs, contribute to architecture and functional safety, troubleshoot software, and mentor localization engineers. The role focuses on C++ development, robotics frameworks, navigation, real-time systems, sensor fusion, coordinate transformations, and vehicle dynamics.
Top Skills:
C++GnssPythonRobot Operating System (Ros)
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Designs, integrates, and implements scalable systems across mining, construction, quarry, and aggregates environments. Develops system requirements, interfaces, architecture models, integration strategies, and engineering documentation. Participates in trade studies, technical reviews, architectural governance, and roadmap planning while collaborating with senior engineers, architects, product teams, and industry groups. The role requires solving complex cross-domain problems and applying systems engineering practices to site, machine, safety, asset, material, and optimization technologies.
Top Skills:
Architecture ModelingCat Products And ToolsEmbedded SoftwareInterface DesignOnboard SoftwareRequirements ManagementSystem ArchitectureSystems EngineeringSystems IntegrationTrade Studies
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

