Technical Lead

KPIT; Maharashtra; On-site; INR 1,600,000 - 2,400,000; Full time

Job summary

KPIT is seeking a Senior DevOps Engineer to lead automotive CI/CD and SIL automation across on-prem and cloud environments. You will build and maintain pipelines, integrate testing and quality gates, and automate deployments and artifacts for automotive software.

Ideal candidates have 6-8 years in DevOps for automotive domains, with AUTOSAR, CANoe, vTESTstudio, dSPACE or TargetLink exposure and a focus on SDV ecosystems.

Qualifications

• 6-8 years of experience in DevOps for automotive CI/CD and SIL environments.
• Hands-on with automotive software development lifecycles and SDV ecosystem.
• Strong experience with cloud and on-prem DevOps infrastructure and automation.

Responsibilities

• Develop and maintain CI/CD and SIL automation pipelines for automotive software.
• Integrate testing, code analysis, and quality gates into development workflows.
• Automate build, deployment, artifact management, and compliance documentation.
• Support cloud and on-premises DevOps infrastructure.
• Improve pipeline performance, reliability, and scalability.
• Drive AI-assisted automation initiatives.

Skills

CI/CD

GitHub

GitHub Actions

GitLab CI

Azure

AKS

ACR

Key Vault

Azure Monitor

Docker

Kubernetes

Python

Bash

PowerShell

Linux Administration

AUTOSAR

SIL Testing

CANoe

vTESTstudio

dSPACE

TargetLink

SDV ecosystem

C#

Databases

Tools

Databases

Job description

Senior DevOps Engineer – Automotive CI/CD & SIL

Job Description

Senior DevOps Engineer – Automotive CI/CD & SIL

Experience: 6-8 Years

Location: Pune/Bangalore

Required Skills:

• CI/CD, Continuous Testing (CT)
• GitHub, GitHub Actions, GitLab CI
• Azure, AKS, ACR, Key Vault, Azure Monitor
• Docker, Kubernetes
• Python, Bash, PowerShell
• Linux Administration
• AUTOSAR, SIL Testing
• CANoe, vTESTstudio, dSPACE, TargetLink
• SDV (Software Defined Vehicle) ecosystem

Job Responsibilities:

• Develop and maintain CI/CD and SIL automation pipelines for automotive software.
• Integrate testing, code analysis, and quality gates into development workflows.
• Automate build, deployment, artifact management, and compliance documentation.
• Support cloud and on-premises DevOps infrastructure.
• Improve pipeline performance, reliability, and scalability.
• Drive AI-assisted automation initiatives.

Good to Have:

• ISO 26262 knowledge
• AI Agents / LLM-based Automation
• Infrastructure as Code (IaC)

Required Skills

C# - C#, Databases

Supported Skills

C# - C#, DATABASES , Git GitLab CI GitHub GitHub Action Azure AKS ACR Key Vault Azure Monitor Docker Kubernetes Python Bash PowerShell Exposure on AI Agent LLMs Linux administration and virtualization AUTOSAR exposure CANoe vTESTstudio dSPACE TargetLink integration SIL environment setup and automation Automotive software development lifecycle understanding Software Defined Vehicle ecosystem exposure