75% Remote: Kubernetes Architect (m/w/d)

Berlin, Berlin  ‐ Hybrid
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Automatisierung Scripting Kubernetes Qualitätsmanagement Workflows Ursachenanalyse Infrastructure as Code (IaC) Gitlab Terraform Jenkins Test Automation Bash Shell UNIX Datenbanken Continuous Integration Elasticsearch Iaas Python Neo4J Produkt Management Ansible Datadog Daten- / Datensatzprotokollierung Transport Layer Security Test-Driven Development Fluentd Grafana Domain Driven Development Kibana Splunk Golang


We are currently looking for a Kubernetes Architect (m/w/d) for our client in the energy sector.

Start: asap
Duration: 31.12.2024 with option to extend
Capacity: 100%
Location: 75% remote, 25% Berlin
Language: English (must), German (nice to have)

The Kubernetes Architect is tasked with ensuring the delivery of products specified by product
management and co-designed by the architecture team. This entails creating high-level and low-level designs,
completing engineering tasks, developing a working product, and ensuring quality assurance.

- Engineering Excellence: An engineering background with an emphasis on designing and implementing
long term secure solutions rather than quick fixes.
- CI/CD and Automation: Proficiency in integrating continuous testing practices within the CI/CD
pipeline using tools like GitLab, Jenkins, Tekton, Argo Workflows, and Argo CD.
- Scripting and Automation: Strong foundation in scripting and automation with a security-conscious
approach, ensuring that security & reliability practices are integrated into automated processes.
- Robust Infrastructure: Proficiency in overseeing the reliability of infrastructure components like
servers, networks, and cloud resources, with a strong focus on Infrastructure as Code (IaC) to ensure
continuous deployments.
- Security Measures: 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.
- Effective Problem Solving: Exceptional troubleshooting and problem-solving skills with a focus on
identifying and addressing issues, root cause analysis, and the implementation of sustainable solutions.
- Reliability Awareness and Proactive Initiative: A self-motivated attitude for recognizing and
addressing technical challenges, with a commitment to maintaining a reliability and security minded
approach throughout the development and operational life cycle.

- Technical Skills:
o Proficiency in IaaS technologies.
o A solid foundation in scripting, automation, and system configuration.
o Knowledge of system and infrastructure design principles, including scalability, performance,
and security.
- Analytical Skills:
o Strong analytical and critical thinking skills to analyze complex problems and develop
innovative solutions.
o Ability to evaluate project risks and make data-driven decisions to mitigate potential issues.
- Problem-Solving:
o Exceptional troubleshooting and problem-solving skills, with a focus on root cause analysis
and sustainable solutions.
- Self-Motivated:
o The ability to work independently and take initiative in identifying and addressing technical

Kubernetes Expertise:
o 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
o Experience in designing and creating Kubernetes Operators and accompanying support
o Experience in designing and creating Kubernetes drivers (like CSI, CNI, …)
o Working experience with tools like golang, terraform, ansible, and python
Infrastructure Management:
o 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.
o Proven ability to set up and manage CI/CD pipelines using tools like GitLab, Jenkins, Tekton,
Argo Workflows, and Argo CD. GitOps knowledge ArgoCD / Flux.
Observability Systems:
o 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.
Quality Assurance:
o Demonstrated commitment to ensuring high-quality deliverables through rigorous standards
and processes
o Is practicing Test Driven Development on a daily basis
o Fluency in English

o Infrastructure Test Automation
o Build and Deployment pipelines
o Domain Driven Development
o Shell / Bash / Unix / Linux Automation
o Graph Databases (like Neo4j, ArangoDB, …)
ab sofort
100% (5 Tage pro Woche)
6 Monate
(Verlängerung möglich)
nemensis AG
Niklas Machens
60 % Remote
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