DevOps Engineer

Role Overview and Responsibilities
Dhruva Space is seeking experienced Senior DevOps Engineer to own infrastructure, CI/CD, deployment, monitoring, and reliability across the organization’s product portfolio. The role will also oversee baseline database operations, security, and cloud cost management in a lean engineering environment, while mentoring the DevOps team and establishing scalable platform practices.
Key responsibilities include but are not limited to:
Design, implement, and manage CI/CD pipelines and cloud infrastructure across products.
Own platform reliability, uptime, production deployments, and incident response.
Manage baseline database operations, backups, disaster recovery, and performance monitoring.
Establish and maintain production monitoring, alerting, and observability.
Manage cloud infrastructure costs, access controls, secrets, and security posture.
Implement infrastructure-as-code and standardized deployment practices.
Manage containerized workloads using Kubernetes or similar platforms.
Develop and maintain operational runbooks, documentation, and recovery procedures.
Mentor and manage associate DevOps / platform engineers.
Collaborate with engineering, security, and architecture teams on infrastructure and deployment requirements.
Build scalable platform practices that support future DBA, NOC, and specialist teams.
Support reliable infrastructure for AI/ML and agent-based workloads where required.
Candidate Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or a related field.
8–12 years of experience in DevOps, Platform Engineering, Cloud Infrastructure, or related roles.
Strong hands-on experience with CI/CD tools and Infrastructure-as-Code, particularly Terraform or equivalent.
Strong experience with Kubernetes/container orchestration and AWS, GCP, or Azure.
Practical knowledge of database operations, backup/DR, and performance fundamentals.
Strong understanding of cloud security, access control, secrets management, and compliance practices.
Proven experience handling production incidents and reliability challenges.
Ability to work as a cross-functional infrastructure generalist in a lean engineering environment.
Strong leadership, mentoring, troubleshooting, and communication skills.
Experience supporting AI/ML or agent-runtime workloads is preferred.

Work arrangement
No