Sr Analyst - Devops

Visteon Corporation

Bengaluru

On-site

INR 1,200,000 - 2,400,000

Full time

32 hours ago
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Job summary

Visteon Corporation seeks a proactive DevOps Automation & Integration Analyst to streamline build and release workflows in a fast-paced environment. You will automate tasks, script integration points, and optimize pipelines across Jenkins, Kubernetes, and cross-tool communication.

The role requires hands-on Python automation experience, strong Linux skills, and a focus on reducing toil through tooling and automation within CI/CD environments.

Qualifications

  • 3-6 years of hands-on experience in DevOps, Build Engineering, or Infrastructure Automation roles.
  • Proven track record of reducing toil through automation in CI/CD or build environments.
  • Demonstrated experience writing production-grade Python automation scripts.

Responsibilities

  • Identify, automate redundant/manual tasks across build, test, and deployment pipelines to improve team efficiency.
  • Develop and maintain Python-based automation and integration scripts to streamline development workflows and cross-tool communication.
  • Design, build, and manage CI/CD pipelines using Jenkins, including pipeline-as-code and optimization.
  • Integrate tools such as JIRA, Jenkins, Klocwork, and Kubernetes via APIs and scripts for smooth end-to-end flow.
  • Manage and optimize Kubernetes-based workloads and contribute to infra capacity planning.
  • Maintain and enhance Make/CMake build systems, troubleshoot build failures, optimize compilation workflows.
  • Perform static code analysis using Klocwork, automate scans, and report results in CI pipelines.
  • Track and report engineering tasks and defects using JIRA; automate ticket updates and reporting via APIs.
  • Understand infrastructure requirements and resource utilization to support scaling.
  • Debug complex system-level issues across build, infra, and integration layers; provide root cause analysis.
  • Collaborate with cross-functional teams to improve tooling and reduce SDLC friction.

Skills

Python
Linux
Jenkins
Kubernetes
Make / CMake
JIRA
Static analysis

Education

B.Tech in Computer Science or related

Tools

Jenkins
Kubernetes
JIRA
Make / CMake
Docker
Ansible
Terraform

Job description

Job Description: DevOps Automation & Integration Analyst
About The Role

We are looking for a proactive and detail-oriented DevOps/Automation Analyst who thrives in fast-paced environments, picks up new technologies quickly, and has a passion for automating manual, repetitive workflows. You will be integral to improving CI/CD pipelines, build systems, and infrastructure reliability.

Key Responsibilities
  • Identify, analyze, and automate redundant/manual tasks across build, test, and deployment pipelines to improve team efficiency
  • Develop and maintain Python-based automation and integration scripts to streamline development workflows and cross-tool communication
  • Design, build, and manage CI/CD pipelines using Jenkins, including job configuration, pipeline-as-code, and build optimization
  • Integrate tools such as JIRA, Jenkins, Klocwork, and Kubernetes through APIs and custom scripts to ensure smooth end-to-end process flow
  • Manage and optimize Kubernetes-based workloads, understand cluster resource utilization, and contribute to infra capacity planning
  • Maintain and enhance Make/CMake-based build systems, troubleshoot build failures, and optimize compilation workflows
  • Perform static code analysis using Klocwork, automate scan execution, and integrate results reporting into CI pipelines
  • Track, manage, and report engineering tasks and defects using JIRA; automate ticket creation, updates, and reporting via JIRA APIs
  • Understand and evaluate infrastructure requirements and resource utilization to support scaling and performance goals
  • Debug complex system-level issues across build, infra, and integration layers; provide root cause analysis and lasting fixes
  • Collaborate with cross-functional teams (developers, QA, ops) to improve tooling and reduce friction in the SDLC
Required Skills & Qualifications
Primary:
Skill
Details
Python (Advanced)

Scripting for automation, API integrations, task scheduling, and infrastructure tooling

Linux (Advanced)

Understanding on FileSystem, Services, Installing and maintaining using default frameworks

Jenkins (Basic)

Pipeline creation, job configuration, Groovy scripting, plugin management

Kubernetes (Basic)

Deployment management, resource monitoring, namespace/pod-level troubleshooting

Secondary:
Make / CMake Or Any Similar Build Tool

Build system configuration, dependency management, cross-platform builds

JIRA

Project tracking, REST API automation, workflow configuration

Any Static Analysis Tool

Static analysis integration, scan automation, results parsing and reporting

Soft Skills & Attributes
  • Fast learner - ability to quickly ramp up on unfamiliar tools, codebases, and systems
  • Strong debugging mindset - methodical approach to identifying root causes across complex distributed systems
  • Automation-first thinking - instinct to eliminate manual effort through scripting and tooling
  • Clear communicator with the ability to document processes, write runbooks, and collaborate asynchronously
  • Self-driven with the ability to prioritize and manage multiple tasks in parallel
Brownie Points:
  • Experience with Docker and container image lifecycle management
  • Knowledge of Infrastructure as Code (IaC) concepts like Ansible or Terraform
  • Experience with overlay/union filesystems or advanced Linux filesystem concepts
  • Prior experience contributing to build artifact management systems
  • Knowledge on any of the following technologies. -- Bazel,AOSP, Grafana, Hashira, repo tool, Klockwork, Agentic AI, MCPI am
Experience
  • 3-6 years of hands-on experience in DevOps, Build Engineering, or Infrastructure Automation roles
  • Demonstrated experience writing production-grade Python automation scripts
  • Proven track record of reducing toil through automation in CI/CD or build environments
Education
  • B.Tech in Computer Science, Information Technology, or a related engineering discipline (or equivalent practical experience)
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