About Kabuni

Kabuni is a sports technology company combining AI, biomechanics and sports science to make high-quality coaching more accessible. Starting with cricket, we’re building tools and pathways to help players develop their skills and reach their potential.Through the Kabuni Premier League (KPL), we’re creating opportunities for young cricketers to progress through auditions, training camps and franchise teams, connecting grassroots talent with structured player development.

Role purpose

Build, operate and maintain, secure, scalable infrastructure with automated delivery pipelines that support Kabuni’s software applications. Make repeatable provisioning, reliable releases, security controls and database maintenance part of the platform from the outset across Development, UAT and Production. The role centres on hands-on engineering, constructing agentic workflows, reducing manual operations and improving reliability as applications grow.

Key responsibilities:

Agentic Pipeline Construction

- Design and build agentic workflows for approved delivery and operational tasks, such as release management, test orchestration and security/maintenance recommendations.
- Integrate workflows with existing or new repositories, CI/CD pipelines and other operational tools.

Identity and access

- Manage Microsoft Entra ID onboarding, role changes and offboarding following approved requests; maintain accounts, security groups and application permissions.
- Apply least-privilege access and maintain an auditable record of approvals, access reviews and removals; escalate inappropriate or overdue access.

Repositories and deployment pipelines

- Administer Azure DevOps projects, repositories, branch policies and permissions in agreement with engineering leads.
- Build and maintain CI/CD pipelines, workplace configuration and deployment automation; diagnose failed builds and releases.
- Maintain deployment records, approval gates and rollback procedures; support production releases and post-release checks.

Azure infrastructure and cost control





- Provision and maintain Azure infrastructure, networking, virtual machines and environment access across Development, UAT and Production.
- Use Terraform and version-controlled Infrastructure as Code for repeatable provisioning and controlled changes.
- Monitor capacity, availability and cloud costs; identify waste and recommend improvements within approved budgets.
- Maintain infrastructure inventories, configuration documentation and recovery procedures; coordinate recovery testing with engineering owners.

Embedded and machine-learning deployment support

- Coordinate infrastructure, pipelines and environment readiness for embedded application deployments with the embedded engineering team.
- Provision infrastructure and maintain deployment pipelines for ML workloads, working with MLOps and backend engineers.
- Resolve infrastructure and deployment issues; ensure release packages and operational handovers are documented.

Monitoring, security and operational support

- Maintain monitoring, logs and actionable alerts for infrastructure, pipelines and supported services.
- Investigate incidents, coordinate restoration and communicate impact, progress and follow-up actions to the relevant technology owners.
- Maintain secure deployment configuration and secrets handling; escalate security concerns promptly through the agreed process.
- Keep operational runbooks current and document recurring issues, fixes and preventative improvements.

Ownership and working relationships The role owns cloud infrastructure operation, access administration and deployment automation within approved standards. Engineering leads own application code,



embedded software and model behaviour; QA owns test evidence; the designated product or release owner approves business readiness and production release. Access owners approve permissions before implementation.

Work closely with backend, embedded, ML, QA and product teams. Give the Programme Office clear updates on dependencies, risks and release readiness. Finance and the designated budget owner approve additional spending. The role does not authorise its own access requests or unapproved cloud expenditure.

Skills and experience

- We’re looking for a DevOps professional with at least 10 years of hands-on experience in infrastructure, cloud operations and deployment automation.
- Practical experience engineering and operating Azure infrastructure, networking and Microsoft Entra ID access controls.
- Hands-on Azure DevOps, Git, CI/CD and Terraform experience, including reusable modules, automated testing, controlled releases and recovery.
- Strong scripting and API integration skills for reliable automation, using languages appropriate to the environment, such as Python, PowerShell or Bash.
- Experience building and evaluating AI agent workflows with tool integration, bounded permissions, human approval gates and operational monitoring. Ability to recognise when deterministic automation is the safer or simpler choice.
- Experience with vulnerability remediation, patch automation, secrets management, encryption, secure configuration and least-privilege access.
- Practical database operations experience covering backups and restore testing, migrations, patching, performance monitoring and data lifecycle controls.
- Ability to troubleshoot production incidents, explain operational trade-offs, document decisions and coordinate changes across engineering teams.
- Desirable experience includes embedded or ML deployment infrastructure, scaling cloud applications and policy-driven automation. Azure or Terraform certification is useful but not essential.

Please apply via this LinkedIn advert. For any enquiries, contact [email protected].

📌 Cloud DevOps Engineer (Mumbai)
🏢 Kabuni
📍 Mumbai