Lead Software Engineer (AWS, Snowflake & ML Backend)
Caterpillar Inc. (company site, opens in a new tab)8+ yrsChennaiOn-siteDirect career pageEst. 28–45 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and maintain backend microservices and data infrastructure for deploying and scaling machine learning models in production using AWS and Snowflake.
- Design and orchestrate batch and real-time analytical pipelines to generate high-accuracy predictions and business insights.
- Lead technical standards, code quality, and mentor engineering teams to deliver secure, scalable distributed systems with automated MLOps workflows.
Minimum Requirements
- 8+ years of professional software development experience focused on data-intensive applications or ML backend infrastructure.
- Expertise in AWS services including SageMaker, Lambda, ECS/EKS, and Step Functions.
- Proficiency in Snowflake warehousing, advanced SQL, data modeling, and performance tuning.
- Must be willing to work onsite five days a week; relocation assistance is available.
Ideal Candidate Profile
- Experienced in architecting cloud-native backend systems integrating AWS managed services and Snowflake data platform.
- Skilled in developing scalable ML infrastructure with production-level CI/CD, model deployment, and monitoring.
- Able to lead and mentor technical teams, driving engineering excellence across multi-disciplinary groups.