Lead Software Engineer - Data Ops

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.

Your Impact 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.

About Caterpillar

Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives.

For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.

Job Summary

We are seeking a skilled Lead Software Engineer - Data Ops to MANUF & SUPPLY DIG PLAT(INDIA) -CAT IT Division.

The preference for this role is to be based out of Bangalore PSN Office, KA -India

What you will do

The Lead Software Engineer -would lead the design, architecture, and scaling of secure, enterprise-grade AWS cloud platforms for digital and AI/ML workloads. This role owns CI/CD platform strategy, Infrastructure as Code, cloud reliability, DevSecOps governance, and enterprise standardization, working closely with application, data, and ML engineering teams to enable consistent and scalable delivery.

• Owns architecture and implementation of enterprise DevOps and cloud platforms across programs.
• Drives standardization, scalability, and reuse of platform capabilities.
• Influences DevOps and MLOps practices across multiple teams and domains.
• Mentors engineers and elevates engineering quality and platform maturity.

1. CI/CD & Source Control

• Architect, build, and scale enterprise CI/CD platforms using GitHub and GitHub Actions.
• Define reusable workflows, templates, and standardized deployment patterns.
• Enable self-service pipelines, automated environment promotion, and compliance enforcement across teams.

1. AWS Cloud, DevOps & MLOps Enablement

• Lead engineering of AWS-based platforms supporting application and ML workloads.
• Advanced use of AWS services including SageMaker, ECS/EKS, CodePipeline, IAM, and S3.
• Own MLOps lifecycle including model deployment, automation, monitoring, and governance.

1. Infrastructure as Code (IaC)

• Define and implement enterprise IaC strategy using AWS CloudFormation.
• Build reusable, modular, and auditable infrastructure patterns.
• Standardize AWS role provisioning, environment setup, and compliance-aligned configurations.

1. DevSecOps, Quality & Governance

• Establish and enforce DevSecOps controls across CI/CD ecosystems.
• Integrate SonarQube and security tools for automated quality checks and policy compliance.
• Drive enterprise adherence to tagging, security standards, and remediation SLAs.

1. Artifact & Supply Chain Management

• Govern artifact lifecycle using JFrog Artifactory.
• Ensure traceability, version control, and secure software supply chain practices across environments.

1. Operations & Reliability

• Define and implement monitoring, alerting, and observability frameworks.
• Lead SRE practices including SLIs/SLOs, incident management, and resilience engineering.
• Drive platform reliability, scalability, and disaster recovery strategies.

What you will have

• Deep AWS expertise with DevOps and MLOps services (SageMaker, ECS/EKS, CodePipeline, IAM, S3).
• Strong proficiency in GitHub and GitHub Actions (enterprise-scale CI/CD).
• Advanced experience with AWS CloudFormation.
• Strong programming skills in Python and/or Go for autom…