DevOps Engineer
SmartDocs (company site, opens in a new tab)1–5 yrsHyderabadOn-siteDirect career pageEst. 7–15 LPA
Posted on 11 Sept
Reach people at SmartDocs
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at SmartDocs you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and improve CI/CD pipelines and infrastructure code for production environments within a growing AI product platform.
- Deploy and manage containerized applications on Azure Kubernetes Service with responsibilities including incident response and monitoring.
- Drive security hygiene, maintain operational tooling (DNS, version control, ticketing), and contribute to compliance evidence for SOC 2/ISO 27001/GDPR audits.
Minimum Requirements
- 1–5 years experience in DevOps, SRE, or infrastructure roles with production environment ownership.
- Onsite in Hyderabad location required.
- Strong hands-on experience with Azure fundamentals (compute, networking, IAM) and container orchestration using Docker and Kubernetes.
- Proven use of AI-assisted development tools (e.g., Claude Code, GitHub Copilot) integrated into daily DevOps workflows.
Ideal Candidate Profile
- Operationally independent engineer positioned between junior and lead role, capable of owning real pipelines and environments without close supervision.
- Experienced in infrastructure-as-code (Terraform or Bicep) and production MongoDB administration including Mongo Atlas.
- Comfortable managing multi-tool environments involving CI/CD systems (Azure DevOps, GitHub Actions), monitoring, logging, and security compliance in an AI-driven enterprise context.