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Caterpillar Inc. is seeking a Lead Software Engineer to drive the technical vision and execution of data-intensive products in a predominantly AWS/Snowflake environment. You will architect backend services, ML workflows, and robust data infrastructure while mentoring engineers.
The role blends hands-on coding with technical leadership in a global setting. With 8+ years of experience, you will collaborate with architects, product managers, data scientists, and cross-functional teams to deliver
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.
Technology, Digital and Data
Job Description: Lead Software Engineer (AWS, Snowflake & ML Backend)
Job Title: Lead Software Engineer
Department: Data Analytics
The Lead Software Engineer drives the technical vision, execution, and quality of core software products. This role balances hands-on coding and technical leadership with deep architecture collaboration, partnering with enterprise architects, product managers, data scientists, and engineering teams to design secure, scalable, and high-performance distributed systems. Operating heavily within AWS and Snowflake, this leader will architect the backend services, robust data infrastructure, and automated MLOps workflows that power the productionization of machine learning models and analytical workflows to generate real-time predictions and actionable business insights.
ML & Analytics Workflows Productionization
Model Deployment: Architect and maintain reliable backend microservices to deploy, scale, and monitor machine learning models in production environments.
Pipeline Orchestration: Design robust batch and real-time analytical pipelines that ingest raw enterprise data, perform feature engineering, and output high-accuracy predictions.
MLOps Governance: Establish continuous integration and continuous deployment (CI/CD) practices customized for ML infrastructure, including model versioning, registry, and drift tracking.
AWS Framework Integration: Co-design cloud-native, distributed backend systems utilizing AWS managed services (such as SageMaker, Lambda, ECS/EKS, and Step Functions).
Snowflake Optimization: Partner with Data Architects to build optimized storage, data views, and high-performance analytical queries within Snowflake to guarantee low latency for downstream insights.
Data Security & Lineage: Ensure strict data governance, access controls, and reproducible data validation protocols across both training pipelines and live execution layers.
Hands-On Development: Write clean, efficient, and secure code, actively contributing to critical components and complex backend feature development.
Code Quality & Standards: Champion engineering excellence by setting and enforcing coding standards, conducting thorough code reviews, and establishing robust testing strategies.
Team Guidance: Provide hands-on mentorship, technical coaching, and constructive feedback to junior and mid-level software engineers on the team.
Experience: 8+ years of professional software development experience, with a solid focus on building data-intensive applications or ML backend infrastructure.
This position requires working onsite five days a week.
Relocation is available for this position.
October 22, 2026 - November 12, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply