Senior CloudOps Engineer
BETSOL (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 16–28 LPA
Posted on 3 Sept
Reach people at BETSOL
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 BETSOL 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
- Design, develop, and maintain reusable infrastructure as code modules and secure cloud environments across Azure and GCP.
- Build, optimize, and operate CI/CD pipelines with integrated DevSecOps practices ensuring governance, compliance, and security controls.
- Contribute to application-level portal development and monitoring with defined SLOs, collaborating in agile teams using AI-assisted development workflows.
Minimum Requirements
- 5+ years experience in DevOps, Site Reliability, or Platform Engineering with full-stack application exposure.
- Proficiency with Azure or GCP cloud architecture, Terraform, Kubernetes, CI/CD tools like Jenkins or GitHub Actions, and scripting in Bash, Python, or PowerShell.
- Experience implementing security frameworks and compliance controls in cloud environments, including container security and vulnerability scanning.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
Ideal Candidate Profile
- Strong expertise operating in Azure and GCP cloud platforms with Terraform and Kubernetes at scale, including reusable module design.
- Comfortable contributing to both infrastructure and application-level code for portal workloads, including modern JavaScript/TypeScript frontend and REST APIs.
- Operates with ownership and accountability for end-to-end delivery, collaborates effectively across distributed teams (US-EST hours), and leverages AI-assisted development practices daily.