75% Remote: Senior Data DevOps Engineer (f/m/d)

For our client we are looking for a Data DevOps Engineer (f/m/d).

Frame data:
Start: November 2024
Duration: 31.03.25 ++ (long term)
Capacity: 100% if possible
Location: Berlin / Remote (1 week Berlin / 3 weeks remote in rotation), up to 50% onsite in peak times

Role:
- The role of a DevOps Engineer within the program will be focusing on Data Services portability and automation towards smooth, robust and reliable operations. This includes taking ownership for CI/CD pipelines and supporting the team to deploy efficiently and effectively.
- This role contributes to bring our Data services into different target environments and help to manage the lifecycle of these services
- We are looking for an experienced DevOps engineer to join our team, focusing on engineering excellence, robust infrastructure and deployability.
- In this role you will join a DevOps engineering team developing hybrid cloud solutions for several products, such as Databases, Message Brokers und Data Catalogs. DevOps Engineers play a critical role in the development, deployment, and maintenance of our products.
- Your ability to automate and optimize processes, ensure system stability, and collaborate effectively within our and with other teams will be instrumental in the success of our team.

Skills (must-have):
- Proven hands-on DevOps experience.
- Proficiency to set up and manage CI/CD pipelines using tools like GitLab, ArgoCD. GitOps knowledge ArgoCD / Flux.
- Thorough knowledge of how Kubernetes operates internally, which involves setting it up, adjusting its size, fixing issues, and managing various Kubernetes versions. This also includes use of Helm charts.
- Understanding how its networking and storage functions work on a low level. Having experience with cloud provided (like AKS, GKE) as well as self-managed/on-prem K8s clusters.
- Experience in administering infrastructure components and proficiency in Infrastructure as Code (IaC) is a must.
- A strong grasp of how data is stored, shared, and secured (storage) and how information moves within the cloud setups from a networking perspective is necessary.
- Good understanding of ingress and egress flows both internally and externally including interconnect across the cloud.
- Tools like Terraform and Terragrunt.
- Conceptual understanding and practical experience in deploying and operating Data Storage Technologies, eg. RDBMS, NoSQL, …
- Proficiency in both speech and writing in English (at least C1)

Skills (should-have):
- Deeper K8s skills and experience, e.g. k8s operators’ development experience and/or k8s operators for Big Data technologies).
- Security: Prioritizing security-by-design principles. Proficiency in securing the system using SSL/TLS encryption for data protection, experience with secret stores like HashiCorp Vault, and an understanding of the zero-trust and the least privilege security concept.
- Observability Systems: Proficiency in setting up monitoring and logging systems for real-time insights into system performance. Familiarity with tools like Prometheus, Grafana, and optionally other similar stacks (e.g., EFK - Elasticsearch, Fluentd, Kibana) and monitoring technologies like Splunk, Datadog, etc.
- Admin and Ops Experience: Previous experience in system administration and operations roles is preferred.
- Understanding of releasing concepts and service versioning (e.g., SemVer).
- Proficiency in German.