Agivant Technologies India Private Limited
Senior Automation & DevOps Engineer
Be an Early Applicant
Develop infrastructure-as-code and automation to migrate repository configurations from Gerrit to GitLab, integrate GitLab APIs, and connect webhooks to Jenkins pipelines. Build and maintain proxy or translation services, execute bulk repository reconfiguration, monitor service health, and troubleshoot CI/CD integration failures.
About the Role: We are hiring Senior Automation Engineers to join a
dedicated Agivant engineering pod. In this role, you will be hands-on in
eliminating manual overhead by developing infrastructure-as-code and building
custom intermediary services to optimize CI/CD integrations.
Key Responsibilities:
- IaC
Development: Write,
test, and maintain robust Terraform scripts to automate the migration of
repository configurations (users, groups, repos) from Gerrit to GitLab.
- API
Integration: Utilize
the GitLab REST API extensively to programmatically apply configurations
and validate migrations.
- Proxy
Service Coding: Develop
and maintain a custom RelayProxy translation service (or configure tools
like nGrok) to ingest GitLab webhooks and distribute them to multiple
downstream Jenkins pipelines.
- Execution
& Testing: Execute
the bulk reconfiguration of 40+ repositories utilizing the developed
automation templates, reducing the current 2-hour-per-repo manual effort.
- Operational
Support: Provide
ongoing maintenance, monitor proxy service health, and troubleshoot
pipeline trigger failures.
Requirements
Must-Have Qualifications:
- 6+ years of hands-on experience in DevOps engineering and CI/CD optimization.
- Strong
proficiency in writing and deploying Terraform code in
production environments.
- Hands-on
experience managing and integrating GitLab (REST API) and Jenkins.
- Proficiency
in at least one programming/scripting language (Python, Bash, Go) for
developing intermediate webhook services.
- Understanding
of network proxies, routing, and payload translation mechanisms.
- Ability to work
collaboratively in a fast-paced pod environment and troubleshoot complex
integration bottlenecks
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