Caterpillar Logo

Caterpillar

Senior Software Test Engineer

Reposted Yesterday
Hybrid
Irving, TX
113K-183K Annually
Senior level
Hybrid
Irving, TX
113K-183K Annually
Senior level
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.
The summary above was generated by AI
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
  • 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

Yesterday
Hybrid
159K-259K Annually
Expert/Leader
159K-259K Annually
Expert/Leader
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Defines enterprise architecture for streaming, batch, event-driven, analytics, and Physical AI data workloads. Designs ingestion, transformation, storage, governance, observability, security, resilience, and lifecycle-management patterns. Establishes platform guardrails, evaluates emerging technologies, and develops architectural roadmaps. Partners with engineering, cloud, and business teams to support AI and autonomy initiatives across large-scale industrial data ecosystems.
Top Skills: Agile SdlcAIAPIsCi/CdCloud ComputingDigital TwinsEdge ComputingEvent-Driven ArchitectureMachine TelemetryOn-Premises Data PlatformsSensor DataStreaming DataTest AutomationVector Data
Yesterday
Hybrid
148K-240K Annually
Expert/Leader
148K-240K Annually
Expert/Leader
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Defines data architecture for physical AI and autonomous systems, including data contracts, schemas, metadata, governance, lineage, and traceability. Designs multimodal architectures for sensor, video, image, telemetry, event, simulation, and robotics data. Establishes scalable data patterns for robotics training, synthetic data, world models, and AI development. Leads architectural roadmaps and standards while partnering with simulation, robotics, data engineering, and platform teams.
Top Skills: Artificial IntelligenceData ArchitectureData GovernanceDigital TwinsEdge ComputingMachine LearningMultimodal DataRoboticsSensor DataSimulationSynthetic DataTelemetry Data
Yesterday
Hybrid
98K-158K Annually
Mid level
98K-158K Annually
Mid level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
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.
Top Skills: Ai-Assisted Development ToolsAWSAzureCi/CdJava 17LangchainLanggraphLlmsMicroservicesMlopsPythonRestful ApisRetrieval SystemsSpring Boot

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account