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DevOps Engineer

Min Experience

5 years

Location

Bangalore, Karnataka, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

ABOUT THE POSITION

Columbia Sportswear is powered by technology that connects four global brands, a worldwide supply chain, and 500+ retail stores. Our Columbia Digital Technology (CDT) organization is expanding its Global Capability Center (GCC) in India to help drive our next phase of cloud transformation.

As a Senior DevOps Developer on our Developer Experience Team, you will lead the design and evolution of CI/CD pipelines, infrastructure-as-code (IaC), monitoring/observability, and deployment frameworks. You’ll collaborate with cross-functional teams to drive scalable, reliable, and high-performance service delivery in a cloud-first environment, while mentoring junior engineers and influencing DevOps best practices across the organization.

HOW YOU’LL MAKE A DIFFERENCE

  • Design, implement, and manage CI/CD pipelines for cloud services and microservices.
  • Define and advocate for DevOps best practices, standards, and tooling across teams.
  • Implement infrastructure as code using a Test Driven Development framework and common tools such as Azure/AWS SDK, Terraform, ARM/Bicep, and CloudFormation to provision and maintain cloud resources.
  • Automate the build, test, deploy lifecycle using tools such as Azure DevOps and GitHub Actions.
  • Collaborate with software development teams to enable reliable deployments, smooth roll-outs, and rollback strategies.
  • Monitor and tune application performance, infrastructure health, and system stability; introduce observability (metrics, logs, tracing).
  • Work in an Agile-DevOps environment: story refinement, sprint cadence.
  • Ensure security, scalability, availability, and cost-efficiency of the infrastructure.
  • Provide technical leadership and mentorship to other engineers, fostering growth and knowledge sharing.
  • Assist in incident investigation and root-cause analysis when production issues arise; drive continuous improvement.

YOU ARE

  • 8+ years of software development or cloud engineering experience.
  • Experience implementing CodeQL and other GitHub Advanced Security tools.
  • Experience implementing Agentic CI/CD and MCP servers.
  • Experience leading DevOps initiatives or driving platform engineering strategies.
  • Exposure to multi-cloud environments (AWS, GCP) is a plus.
  • Certifications such as Azure DevOps Engineer or Azure Solutions Architect.
  • Experience with observability tools (e.g., Grafana, Application Insights, Log Analytics) and logging/tracing.

YOU HAVE

  • Bachelor’s degree in Computer Science, Engineering, or related technical discipline (or equivalent experience).
  • 5+ years of experience in DevOps, Cloud Infrastructure, or a related software engineering role.
  • Proficient in one or more programming/scripting languages (Python, PowerShell, C#, Bash).
  • Hands-on experience with Microsoft Azure (services such as App Services, Logic Apps, Service Bus, Kubernetes, Azure SQL, Synapse, etc.).
  • Strong experience building CI/CD pipelines and release automation (Azure DevOps, GitHub Actions, Jenkins).
  • Experience with Infrastructure as Code (Terraform, ARM/Bicep, or similar).
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Solid understanding of microservices, distributed systems, and RESTful APIs.
  • Familiarity with Agile software development practices and working in cross-functional teams.
  • Strong collaboration and communication skills; ability to work across geographies (on-shore/off-shore).

#LI-SA1

#Hybrid

This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company. 

About the company

Design and sell outdoor apparel, footwear, and equipment.

Skills

Azure
AWS
GCP
Azure DevOps
GitHub Actions
Terraform
ARM/Bicep
CloudFormation
Jenkins
Docker
Kubernetes
Grafana
Application Insights
Log Analytics