Lead Software Engineer AWS Snowflake And ML Backend

Caterpillar Inc.; Bengaluru; On-site; INR 3,000,000 - 5,200,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Caterpillar Inc. in Bengaluru, India seeks a Lead Software Engineer to drive ML backend infrastructure and data pipelines. You will design and productionize scalable microservices on AWS, optimize Snowflake data workflows, and lead ML model deployment with robust CI/CD practices.

You will mentor engineers, set coding standards, and collaborate across data analytics, cloud, and security teams to deliver high-performance analytics solutions in production environments.

Qualifications

• 8+ years of professional software development experience.
• Strong focus on data-intensive applications or ML backend infrastructure.
• Hands-on expertise with AWS services for deployment and orchestration.
• Deep SQL and Snowflake performance tuning experience.
• Proficient Python development and API design (REST/gRPC).

Responsibilities

• Develop and productionize backend microservices for ML models.
• Design batch and real-time data pipelines ingesting enterprise data.
• Establish CI/CD practices for ML workflows with model versioning.
• Collaborate with data engineers, security, and platform teams.
• Mentor junior and mid-level engineers.

Skills

AWS

Snowflake

Python

REST/GRPC

CI/CD

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'rejoining 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'tjust 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

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