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

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

Description

Role Overview


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.



 

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).

  • Good communication skills and willingness to collaborate across teams.



 

Why Join Us?



  • Opportunity to work with modern observability and cloud-native technologies.

  • Mentorship from senior DevOps/SRE engineers.

  • Exposure to scalable systems, distributed tracing, and real-time monitoring.

  • A learning-focused, supportive engineering culture.


 



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