Senior DevOps Engineer
at Techholding
Ahmedabad, Gujarat, India, onsite, senior, full time, 6+ years
posted 02 Mar 2026
- GKE
- Azure
- BigQuery
- Gemini APIs
- PostgreSQL
- Go
- AKS
- Bash
- EKS
- Cloud Build
- MS SQL
- Cloud Run
- GitHub Actions
- Terraform
- ECS
- GCP
- Vertex AI
- Ansible
- MySQL
- AWS
- Python
- Kubernetes
About the role
Posted: 2026-03-02
What they are looking for
- 6+ years of hands-on experience in DevOps roles.
- Strong production experience with GCP, exposure to AWS or Azure is a plus and willingness to learn and work across other cloud or hybrid environments as needed.
- Deep hands-on experience in designing and managing Terraform based infrastructure provisioning. Experience of configuration management tools such as Ansible is a plus.
- Strong expertise in designing and securing GCP network infrastructure.
- Strong experience with container orchestration platforms such as GKE (must-have) and serverless containers like Cloud Run. Exposure to EKS, AKS, ECS is a plus.
- Experience building and managing CI/CD pipelines using Cloud Build, GitHub Actions or similar tools.
- Proven expertise in scripting languages like Python, Go, or Bash to build custom automation.
- Experience working with serverless and event-driven architectures.
- Strong understanding and hands on production experience of implementing observability solutions including logging, metrics and alerting using cloud native or open source tools.
- Hands-on experience of identity, access management and governance.
- Experience in administering Windows and Linux based Cloud virtual machines, including Cloud Identity, AD integration, storage, networking, backup, performance optimization, access control, monitoring and troubleshooting.
- Experience designing and managing databases, knowledge of MySQL, PostgreSQL and MS SQL.
- Strong troubleshooting and Hands on experience in incident management, conducting root cause analysis.
- Good communication skills with experience interacting with clients.
- Ability to collaborate effectively with different teams and stakeholders.
- Certifications in GCP, AWS, Azure, Terraform, or Kubernetes.
- Experience working in Agile/Scrum environments.
- Experience provisioning and managing data and AI infrastructure on GCP, including BigQuery and enterprise AI/ML workloads via Vertex AI and Gemini APIs.
Read from job-boards.greenhouse.io, last seen 4d ago.