About this role

Job Requirements

Position Summary
We are seeking a passionate and motivated DevOps Engineer with exposure to Developer Experience, AI, and Cloud Technologies to join our growing team. This role is ideal for professionals with 3+ years of experience in DevOps, Cloud Infrastructure, Platform Engineering, or Site Reliability Engineering (SRE) who are looking to expand their expertise in AI infrastructure, automation, and cloud-native technologies.
The successful candidate will shape the developer experience of our cloud infrastructure and deployment tools by driving automation and seamless self-service provisioning, so development teams can use our environments and tools to deploy their services quickly, reliably, and with minimal manual effort.

Key Responsibilities

Developer Experience & Self-Service

- Treat our cloud environments and deployment tools as internal products: understand the needs of development teams, collect feedback, and continuously improve usability.
- Design and build self-service capabilities (e.g., templates, golden paths, portals, CLIs) that let teams using and provision environments and deploy services on demand without manual handoffs.
- Reduce friction and onboarding time by standardizing workflows, removing manual steps, and providing sensible defaults.
- Create and maintain clear, developer-friendly documentation, examples, and onboarding guides.
- Measure and improve developer experience using metrics such as time-to-first-deployment, provisioning lead time, and user satisfaction.

Cloud Infrastructure & Platform Operations

- Design, deploy, and maintain cloud infrastructure on Azure or AWS.
- Operate Kubernetes and container platforms for application and AI workloads.
- Automate infrastructure provisioning with Infrastructure as Code (IaC).
- Build and maintain Helm charts for application deployments.
- Troubleshoot infrastructure, networking, and deployment issues.

DevOps & Automation

- Build and maintain CI/CD pipelines with Azure DevOps, GitHub Actions, or similar tools.
- Automate operational tasks with PowerShell and C#.
- Drive release management, deployment automation, and environment provisioning.
- Use AI-powered tools to increase operational efficiency.

AI & MLOps Support

- Deploy and monitor AI/ML applications and services.
- Maintain MLOps workflows with Azure ML, MLflow, or Kubeflow.
- Monitor performance of AI workloads and their infrastructure.

Monitoring & Reliability

- Implement monitoring and alerting with Prometheus, Grafana, ELK Stack, or cloud-native tools.
- Resolve incidents, run root cause analyses, and optimize performance.
- Improve system reliability, scalability, and availability.

Required Technical Skills

Developer Experience & Platform Engineering

- Experience building self-service tooling for development teams, such as templates, golden paths, CLIs or portals.
- Product mindset: you understand developer needs, gather feedback and keep improving usability.
- You write clear documentation and onboarding guides for developers.
- Experience measuring developer experience with DORA metrics, lead times or developer satisfaction.

Cloud Platforms

- Hands-on experience with at least one cloud platform: Microsoft Azure (preferred), AWS or GCP.

Containers & Orchestration

- Docker
- Kubernetes (basic to intermediate)
- Helm, including building reusable charts for teams to use

Infrastructure as Code

- Terraform and/or ARM Templates / Bicep, including building reusable modules
- Ansible (basic knowledge)

Programming & Scripting

- Python, PowerShell, Bash, C#
- Experience automating workflows and building developer tools

CI/CD & Version Control

- Azure DevOps and/or GitHub Actions
- Git-based workflows

Monitoring & Logging

- Prometheus, Grafana, ELK Stack, Azure Monitor or similar tools

Operating systems

- Linux
- Windows

Preferred Qualifications

- Bachelor's degree in Computer Science, IT, Engineering, or a related field.
- 3+ years in DevOps, Platform Engineering, Cloud/Infrastructure Engineering, or SRE, ideally focused on developer tooling or internal platforms.
- Experience building self-service tooling that makes provisioning and deployment easy for developers.
- Developer-focused mindset, with strong communication and documentation skills.
- Hands-on experience with Docker and Kubernetes.
- Solid understanding of CI/CD and deployment automation.
- Familiarity with Infrastructure as Code.
- Basic knowledge of AI/ML deployment and MLOps.
- Knowledge of cloud security and networking basics.
- Experience working in Agile teams.
- Azure, AWS, Kubernetes, or Terraform certifications are a plus.

Nice-to-Have Skills

- Experience with internal developer platforms such as Backstage or Port.
- Knowledge of GitOps practices, such as Argo CD or Flux.
- Use of AI coding assistants and AI-assisted operations (AIOps) to boost developer productivity.
- Exposure to Azure ML, Kubeflow or MLflow.
- Experience with container security and vulnerability management.
- Familiarity with distributed systems and microservices architectures.

Benefits

DevOps Engineer – Developer UX
Location: Bengaluru, India
Experience: 3-5 Years