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Location
Remote (Ukraine)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Nov 13, 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

About the Project:
Opportunity to work with the leader of the US Broadcasting Market and one of the biggest companies that is providing Broadcasting Media Entertainment to users on OTT.

Job Responsibilities:
Review our current pipelines and infrastructure and identify gaps.
Audit our existing Kubernetes clusters and recommend improvements and how to scale them further.
Review our observability stack: confirm DAG and application metrics are all flowing into Grafana, check that logs, dashboards, and PagerDuty alerts are set up correctly, and advise on scaling it.

What is Required:

6-8 years of DevOps/infrastructure experience.
Terraform: Strong hands-on experience with infrastructure as code, including reusable modules.
Kubernetes: Deep knowledge of cluster setup, operations, and scaling.
Cloud: GCP or AWS (GCP preferred).
Networking: Solid understanding of cloud networking fundamentals.
Grafana and observability: Expert-level Grafana (dashboards, logs, monitoring), plus experience with PagerDuty alerting integrations.

Nice-to-have:
Experience with data engineering infrastructure, such as the platforms behind Airflow or Dagster.
Experience provisioning and running the underlying infrastructure for ETL/data pipeline workloads (not building the pipelines themselves).

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