DevOps Engineer – Developer UX

Siemens HealthineersBengaluru, Karnataka

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