Senior Software Engineer

Caterpillar Inc.

. Design, prototype, test, and deploy modern software applications, pilots, and reusable components using agile and iterative delivery methods .

Posted 9/19/2026full-timeUnited StatesSenior💰 $112,710 - $183,140 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying modern software applications using agile methodologies, with a strong focus on generative AI, LLMs, and responsible AI practices. Capable of leading technical discussions, mentoring teams, and translating customer needs into production-ready solutions.

Highest-signal resume keywords

Generative AIProofs Of ConceptCloud PlatformsAutomated TestingSoftware Development Life Cycle

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI-Assisted DevelopmentPrompt EngineeringMicroservicesData PipelinesSecurityData GovernancePerformance OptimizationIntegration PlatformsObservability Tools

Soft Skills

MentoringCritical ThinkingDecision-MakingCommunicationContinuous Improvement

Certifications & Qualifications

Bachelor’s Degree In Computer ScienceBachelor’s Degree In Software EngineeringBachelor’s Degree In Information Technology

Industry Keywords

Agile DeliveryOperational ReadinessCustomer NeedsTechnical OpportunitiesSoftware Product Design

Tech Stack

Tools & technologies

CloudMicroservicesSDLC

About the role

Key responsibilities & impact

Design, prototype, test, and deploy modern software applications, pilots, and reusable components using agile and iterative delivery methods
Explore, evaluate, and apply emerging technologies including generative AI, LLM-powered workflows, AI-assisted development, automation, cloud services, and integration platforms
Turn loosely defined ideas, customer needs, and technical opportunities into proofs of concept, pilots, and production-ready features
Apply engineering best practices for automated testing, security, observability, performance, maintainability, responsible AI usage, and operational readiness
Partner with product, architecture, data, security, operations, and business teams to identify use cases, define success criteria, communicate tradeoffs, and transition experiments into enterprise-ready solutions
Stay current with technology trends and share learnings through demos and documentation
Mentor others and champion curiosity, ownership, and continuous improvement

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field, or equivalent practical experience (preferred qualification)
Experience with generative AI, LLMs, RAG, prompt engineering, AI-assisted development, or intelligent automation
Experience creating proofs of concept, pilots, or MVPs
Familiarity with cloud platforms, APIs, microservices, data pipelines, vector databases, DevOps, or observability tools
Experience with responsible AI, security, privacy, data governance, testing, and production readiness
Ability to lead technical discussions, mentor others, and influence adoption through demos and documentation
Knowledge of decision-making and critical-thinking processes and tools
Knowledge of software development tools and activities
Knowledge of software development life cycle
Knowledge of software integration processes and functions
Knowledge of software product design and architecture
Knowledge of software product testing
Sponsorship is not available for this position
Successful completion of a drug screen required

Benefits

Comp & perks

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
Travel up to 15%