Job Description
Role Overview We are seeking a motivated and detailoriented DevOps Engineer I to support our platform engineering, observability, and automation initiatives. The ideal candidate will have handson experience with Infrastructure as Code, CI/CD pipelines, and cloudnative monitoring stacks-particularly within the Grafana and Prometheus ecosystems. This role is suitable for earlycareer engineers with a strong technical foundation and eagerness to learn advanced DevOps and SRE practices. Key Responsibilities Infrastructure & Automation 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. Monitoring, Logging & Observability 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. Performance Insights & Diagnostics 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. Preferred Skills (Good to Have) 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. Qualifications 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)
