Senior DevOps Engineer (Data) - AWS - Europe
Level
Senior
Department
DevOps
Type
Full Time
Project
NDA
Locations:
Europe
Job Details
Posted on:
August 25, 2026
Job ID:
fDfSBa
About the Company
Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.
With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
About the Project
Specialization
Headquarters
Years on the market
Team size and structure
Current technology stack
Required skills:
Must Have
- 5+ years as a DevOps Engineer in a production Linux environment (per JD). On the call, the Client indicated a preference for 6+ years for this specific opening, with flexibility for an exceptionally strong candidate (treat 5 years as a hard floor and 6+ as the practical target)
- Hands-on containers and Kubernetes - the call was explicit this must go beyond basic exposure: real, in-depth experience standing up and operating clusters, not just "having touched a button in Kubernetes."
- Good understanding of distributed and data systems; experience with large-scale, heavy data loads specifically (Spark, Hadoop, Vertica, Flink were named on the call as reference technologies for this team's stack).
- Good Python scripting experience.
- Hands-on with at least one cloud platform. AWS is strongly preferred since it's what Nexxen mostly runs on; Azure/Microsoft-stack backgrounds are explicitly less relevant to this team.
- Version control and CI/CD tooling (e.g., GitLab or GitHub) - called a must on both the JD and the call.
- Production experience specifically, not only test/staging environments.
- Strong English communication, team player, independent.
Nice to Have
- Exposure to data warehouses/lakes and processing frameworks (Hadoop, Spark, Flink, Trino) across batch and/or streaming workloads.
- GitOps tooling (ArgoCD / Flux).
- Administering at least one NoSQL database (Redis, Elasticsearch, or MongoDB).
- Background as a data engineer or software engineer with an infrastructure slant.
- Ability to build tools for the engineering team, i.e. coming from a development background rather than only writing scripts — called a "big advantage" on the call, explicitly not a must.
Scope of work:
- Building, operating, and scaling containerized data infrastructure on Kubernetes and/or Linux, including engines like Spark, across batch and streaming workloads.
- Writing automation and tooling in Python.
- Improving reliability, observability, and performance across distributed systems.
- Working on production systems supporting heavy data loads, in close collaboration with the data engineering teams.
