Senior Software Engineer (Autonomy Services)

Caterpillar•Irving, TX

1d•Onsite

About The Position

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, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world—on real jobsites, at global scale. You’ll build and deploy against one of the most unique data foundations - over 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.

Requirements

Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
Knowledge of software product design; ability to convert market requirements into software product design and technical approaches.
Knowledge of software integration processes and functions; ability to design, develop, and maintain interfaces and linkage to alternative platforms and software packages.
Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
Understanding of effective communication concepts, tools, and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through appropriate communication behaviors.
Strong backend engineering capability with Java 17+ and Spring Boot to design and deliver RESTful APIs using microservices principles.
Proven ability to build secure, scalable platform services in a cloud environment such as AWS or Azure.
Experience deploying backend services in cloud-native environments.
Knowledge of AI-assisted and agentic software development workflows
Ability to review, validate, test, and refine AI-generated code and pull requests for correctness, maintainability, performance, security, and alignment with established engineering standards.
Knowledge of responsible AI usage and secure coding practices in AI-assisted development

Nice To Haves

Experience building production AI agents using Python
Experience with agent orchestration frameworks such as LangChain or LangGraph
Experience integration LLMs with external tools, APIs, databases, and retrieval systems
Experience designing evals, guardrails, and monitoring for agent reliability
Multi-agent workflow design and memory/context management
Prompt optimization, latency reduction, and cost control
MLOps or model deployment experience

Responsibilities

Design, build, test, and deploy backend RESTful API services using Java, Spring Boot, and microservices architecture.
Provide day-to-day technical leadership on complex engineering problems and guide implementation decisions across features and services.
Lead development of new functionality on cross-functional Agile teams and partner with product and architecture stakeholders to deliver business value.
Mentor engineers through code reviews, design discussions, pairing, and feedback that improves technical quality and team effectiveness.
Drive engineering excellence through strong practices in architecture, testing, CI/CD, observability, and operational readiness.
Apply AI-assisted development tools and software engineering agents to accelerate design, implementation, testing, refactoring, and documentation; define clear task context and verification criteria; and help guide team usage through code reviews, mentoring, and engineering best practices.
Guide full-stack implementation tradeoffs across API, service, and UI boundaries while remaining primarily focused on backend microservice design and delivery.
Contribute to application and interface design, technical documentation, and scalable integration patterns across the platform.
Help identify and resolve root causes for complex production and development issues while improving system resilience over time.