Software Engineer

Caterpillar Inc.•Peoria, IL

1d•$97,530 - $158,480•Remote

About The Position

Develops, prototypes, integrates, and supports software solutions that enable emerging technology initiatives across digital products and platforms. This role works in an agile, cross-functional environment to evaluate new technologies, build production-ready software, accelerate experimentation, and help transition promising concepts into scalable enterprise solutions. The ideal candidate combines strong software engineering fundamentals with curiosity about emerging technologies such as AI/ML, generative AI, intelligent automation, platform services, and modern integration patterns. This role requires practical problem solving, a bias for action, and the ability to work across architecture, engineering, product, security, and business teams.

Requirements

Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.
Knowledge of software integration processes and functions; ability to design, develop and maintain interfaces and linkage to alternative platforms and software packages.
Knowledge of software product design; ability to convert market requirements into the software product design.
Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.
Experience designing, developing, and supporting software applications in an agile environment.
Proficiency in at least one modern programming language such as Python, Java, JavaScript/TypeScript, C#, or similar.
Experience with APIs, system integration, and modern software development practices including source control, CI/CD, automated testing, and code review.
Ability to analyze technical problems, evaluate options, and implement practical solutions.
Strong written and verbal communication skills, with the ability to work effectively across technical and non-technical teams.
Experience working with cloud platforms, containers, microservices, or modern application architectures.
Demonstrated ability to learn new tools, platforms, and technologies quickly.

Nice To Haves

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field.
Experience building or integrating solutions using AI/ML, generative AI, LLMs, intelligent assistants, search, recommendation systems, or automation technologies.
Familiarity with experimentation, prototyping, and proof-of-concept delivery in emerging technology environments.
Experience with platform engineering, event-driven architectures, data pipelines, or enterprise integration patterns.
Understanding of security, privacy, observability, and operational readiness considerations for production software.
Experience evaluating vendor tools, SDKs, or third-party platforms and integrating them into enterprise ecosystems.
Familiarity with DevOps, infrastructure as code, monitoring, and performance optimization.
Experience working in cross-functional product teams that include engineering, architecture, UX, and business stakeholders.

Responsibilities

Design, develop and test software applications, services, APIs, and integrations using agile development practices.
Build prototypes and proof-of-concepts to evaluate emerging technologies and determine technical feasibility, business value, and production readiness.
Translate business problems and user needs into scalable technical solutions, working closely with product managers, architects, designers, and partner teams.
Contribute to solution architecture, system design, and technical decision-making for new capabilities and enhancements.
Create reusable components, automation, and engineering patterns that improve speed, quality, and consistency across the team.
Support integration with internal and external platforms, data sources, APIs, and third-party tools.
Implement automated testing, monitoring, and operational practices to improve software quality, reliability, and supportability.
Identify and resolve workflow inefficiencies through automation, intelligent tooling, and modern engineering approaches.
Participate in code reviews, technical design reviews, and team ceremonies to maintain engineering standards and share knowledge.
Contribute to experimentation frameworks, pilot execution, and measurement of outcomes to help inform investment and scaling decisions.
Stay current on relevant technology trends and help assess where new capabilities may create value for the business and customer experience.
Partner with stakeholders to communicate technical tradeoffs, implementation recommendations, risks, and progress in a clear and practical way.
Support responsible use of emerging technologies by considering security, data privacy, compliance, reliability, and maintainability in solution design.