DevOps Engineer – Developer UX

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 ...