Dev Ops Engineering I-SUPPORT SERVICES-AI & Platforms - In House Engineering

We are seeking a motivated and detail‑oriented DevOps Engineer I to support our platform engineering, observability, and automation initiatives. The ideal candidate will have hands‑on experience with Infrastructure as Code, CI/CD pipelines, and cloud‑native monitoring stacks—particularly within the Grafana and Prometheus ecosystems. This role is suitable for early‑career engineers with a strong technical foundation and eagerness to learn advanced DevOps and SRE practices.

• Develop, maintain, and version infrastructure using Terraform (IaC).
• Assist in the design and management of CI/CD pipelines, preferably using Azure DevOps.
• Automate routine operational tasks and contribute to improving deployment workflows.

• Configure and maintain dashboards and visualizations using Grafana.
• Support operational monitoring using Prometheus or Grafana Mimir for metrics.
• Assist in implementing distributed tracing using Grafana Tempo.
• Support centralized logging using Grafana Loki.
• Work with OpenTelemetry (OTel) for instrumentation and data collection across services.

• Collaborate with engineering teams to implement end-to-end application observability.
• Help troubleshoot performance issues using telemetry and distributed tracing data.
• Contribute to dashboard improvements and real-time monitoring enhancements.

• Exposure to OpenInference for LLM or AI system observability.
• Hands-on experience with Grafana Beyla for eBPF-based application monitoring.
• Basic knowledge of Kubernetes, Docker, or cloud environments (Azure preferred).
• Familiarity with GitOps workflows.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 1–2 years of experience in DevOps, SRE, Cloud Engineering, or related roles.
• Strong understanding of Linux fundamentals and scripting (Bash/Python).
• Good communication skills and willingness to collaborate across teams.