Project description
Join our Development Center in Bucharest and become part of an open-minded, professional, and collaborative team working on projects for a world-famous client.
This is a DevOps for Data Engineering role. You will not be a general infrastructure operatorβyou will build and maintain the DevOps foundation that enables data engineers to develop, deploy, and run data pipelines and analytics platforms across hybrid on-premise and Google Cloud (GCP) environments.
You will work closely with data engineers and architects to deliver automated, secure, observable, and cloud-native solutions that allow teams to deploy data products safely and at scale.
We also support professional growth through training, upskilling, and continuous development opportunities.
Key responsibilities
- Design and support DevOps capabilities for data engineering workloads (pipelines, orchestration, analytics)
- Build and manage GCP-based infrastructure for data platforms (compute, storage, networking, IAM)
- Own GitHub as the core engineering platform (repo structure, branching, PRs, reviews, releases, automation)
- Design and maintain CI/CD pipelines for data pipelines and infrastructure deployments
- Implement Infrastructure as Code (Terraform or similar) for hybrid and cloud environments
- Build and operate containerized platforms using Docker and Kubernetes
- Implement monitoring, logging, and alerting for data pipelines and platform health
- Ensure security, access control, and compliance across the data platform
- Optimize performance, scalability, and cost of cloud data workloads
- Collaborate closely with data engineers and architects to enable self-service and reliable delivery
π Main requirements:
We are looking for DevOps / Platform / SRE Engineers with experience supporting cloud and platform environments, ideally with exposure to data engineering platforms.
- Strong experience with GitHub (PRs, code reviews, CI/CD integrations, repository governance)
- Solid cloud background (AWS, Azure or GCP), with GCP considered a strong advantage
- Experience designing and maintaining CI/CD pipelines for infrastructure and/or data platforms
- Hands-on experience with Infrastructure as Code (e.g. Terraform or similar tools)
- Strong Linux skills and automation using Python, Bash, or similar
- Experience with Docker and Kubernetes
- Knowledge of monitoring, logging, and alerting in distributed systems
- Understanding of security, networking, and access management in enterprise environments
βοΈ GCP note:
If you do not yet have GCP experience but are motivated to learn it, we provide support and training, as GCP is a key technology within the role.
π Nice to have:
- GCP certifications (Cloud DevOps Engineer, Cloud Architect, etc.)
- Experience with data platforms such as BigQuery, Dataproc, Dataflow, Cloud Storage
- Exposure to orchestration tools (e.g. Apache Airflow, Cloud Composer)
- Experience supporting or integrating data pipelines and workflows
- Familiarity with big data and distributed systems
- Experience building self-service platforms for data teams
Location: Bucharest (2 or 3 days per week in the office)
Languages
English: B2 Upper Intermediate
Seniority
Senior
We offer numerous benefits such as:
β° Flexible work schedule
π§ Great company culture and friendly environment
π Work within a fast-moving, exciting, and challenging environment
π Talent development ecosystem
π¨π» π» Luxoft Training Center services with ad-hoc leadership and technical programs
π Knowledge sharing in professional communities
π§ Meetings for knowledge sharing, celebrations, and brainstorming: your ideas count!
π Regular team-building activities
πΈ Variety of discounts for our employees
Key Skills
Ranked by relevance
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- Posted
- Jun 17, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Bucharest
- Company
- Luxoft
Industries
Categories
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