Lead Software Engineer (AWS, Snowflake & ML Backend)

Caterpillar Inc.; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Caterpillar Inc. in Chennai, India is seeking a Lead Software Engineer to drive backend architecture for ML and analytics, heavily leveraging AWS, Snowflake and ML workflows.

You will balance hands-on development with technical leadership to deliver scalable, secure services. The role requires 8+ years of experience in data-intensive software, proficiency with AWS, Snowflake, Python, and modern CI/CD practices.

Qualifications

• Experience: 8+ years of professional software development experience, with a solid focus on building data-intensive applications or ML backend infrastructure.
• AWS Mastery: Hands-on expertise building architectures across the AWS ecosystem, specifically managing compute, storage, and serverless workflow orchestration.
• Snowflake Competency: Deep proficiency in advanced SQL, Snowflake warehousing, data modeling, and performance tuning for massive, complex analytic datasets.
• Programming Skills: Strong programming background (e.g., Python) specialized in deploying scalable backend systems, REST/gRPC endpoints, and handling data pipelines.
• Soft Skills: Exceptional communication, stakeholder management, and the ability to build consensus across multi-disciplinary technical teams.

Responsibilities

• 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 CI/CD practices customized for ML infrastructure, including model versioning, registry, and drift tracking.
• Cloud & Data Architecture Collaboration: AWS Framework Integration with AWS services (SageMaker, Lambda, ECS/EKS, Step Functions) and Snowflake optimization.
• Data Security & Lineage: Ensure strict data governance, access controls, and reproducible data validation protocols across training pipelines and live execution layers.
• Hands-On Development: Write clean, efficient, and secure code, contributing to critical backend components.
• Code Quality & Standards: Enforce coding standards, conduct reviews, and implement robust testing strategies.
• Team Guidance: Provide mentorship and coaching to junior and mid-level software engineers on the team.

Skills

AWS

Snowflake

Python

REST/gRPC

ML & Analytics

Communication

Tools

SageMaker

Lambda

ECS/EKS

Step Functions

Job description

Job Description

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.

Career Area
Technology, Digital and Data

Job Description
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.

Job Description: Lead Software Engineer (AWS, Snowflake & ML Backend)

Position Overview

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.

Key Responsibilities
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.

Cloud & Data Architecture Collaboration

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.

Technical Leadership & Mentorship

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.

Qualifications & Skills

Experience: 8+ years of professional software development experience, with a solid focus on building data-intensive applications or ML backend infrastructure.

• AWS Mastery: Hands-on expertise building architectures across the AWS ecosystem, specifically managing compute, storage, and serverless workflow orchestration.
• Snowflake Competency: Deep proficiency in advanced SQL, Snowflake warehousing, data modeling, and performance tuning for massive, complex analytic datasets.
• Programming Skills: Strong programming background (e.g., Python) specialized in deploying scalable backend systems, REST/gRPC endpoints, and handling data pipelines.
• Soft Skills: Exceptional communication, stakeholder management, and the ability to build consensus across multi-disciplinary technical teams.
  

This position requires working onsite five days a week.

Relocation is available for this position.

Posting Dates
August 7, 2026 - August 20, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply