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Location
Remote (Ukraine)
Employment
Full-Time

First seen by Alion on Nov 12, 2026.

Overview
Company
Impact
Profile match
GlobalLogic is a digital engineering services company headquartered in San Jose, California, that designs and builds software products, platforms and data systems for clients in media, retail, healthcare, automotive, communications and other industries. Founded in 2000 and part of Hitachi since 2021, it runs engineering centres in India, Central and Eastern Europe and Latin America, with large Indian delivery hubs in Noida, Bengaluru, Pune, Hyderabad and Chennai. The company hires software engineers in Java, .NET, Python and full stack development, along with QA and test engineers, data and MLOps engineers, AI engineers, DevOps specialists and digital product designers.
Backed by NEA

Job Description
Preferred qualifications & skills
Education & experience: Bachelor of Science in Computer Science, Information Technology, or a related field, plus heavy experience in Linux systems engineering and DevOps or Site Reliability Engineering (SRE).
OS & Systems Engineering: Strong Linux systems knowledge and administration proficiency, backed by hands-on development and automation experience using Go, Python, and Perl.
Observability & Telemetry: Hands-on experience configuring and managing Prometheus exporters, writing advanced PromQL queries, and designing insightful Grafana visualization dashboards.
Infrastructure Knowledge: Deep understanding of systemd services, process supervision, network configurations, and system logging, particularly regarding how system metrics are exposed and collected
Job Responsibilities
Configure, automate, and maintain Prometheus exporters and telemetry agents across bare-metal compute hosts and Linux environments.
Develop custom metrics exporters, diagnostic scripts, and systems automation tools using Go, Python, and Perl.
Build, optimize, and maintain Grafana dashboards and PromQL alert rules to deliver real-time visibility into system states and performance.
Troubleshoot OS-level service degradation, systemd unit dependencies, and performance bottlenecks across compute hardware using metrics data.
Validate infrastructure health, service metrics, and telemetry data reliability for core compute environments.
Partner with software engineering teams to resolve operational bottlenecks, establish SLIs/SLOs, and improve overall system observability.
Department/Project Description
We are seeking a Systems Observability / DevOps Engineer to join our Hardware Optimization Team. In this role, you will be responsible for engineering and automating the monitoring and observability stack required to keep our compute infrastructure optimized by writing custom exporters in Go and Python, managing Prometheus data collection, and delivering production dashboards in Grafana.

If you are proactive, bring new ideas and suggestions, don't waste any second and apply!
Skill Category
DevOps
Keyskills - Must Have
Linux
Python
Go
Prometheus
Grafana
Perl
Networking

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