Lead Software Engineer AWS Snowflake And ML Backend

Caterpillar Inc.; Chennai; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Relocation assistance

Onsite work five days a week

Job summary

Caterpillar Inc. in Chennai is seeking a Lead Software Engineer to drive the technical vision for data analytics, focusing on AWS, Snowflake, and ML backend.

You will architect, implement, and lead critical backend components while collaborating with data scientists, product managers, and enterprise architects to deliver real-time insights. The role combines hands-on coding with technical leadership, requiring 8+ years of experience in data-intensive applications and a strong emphasis on secure,

Qualifications

• 8+ years of professional software development experience.
• Strong AWS and Snowflake expertise.
• Proficiency in Python and backend system design.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead ML backend productionization, architectures, and scalable services.
• Deploy, monitor, and scale ML models in production environments.
• Design robust batch and real-time data pipelines and feature engineering.
• Establish CI/CD practices for ML infrastructure and governance.

Job description

Job Description:

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

October 22, 2026 - November 12, 2026

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