DevOps Engineer (m/w/d)
DevOps Engineer (m/w/d)
DevOps Engineer (m/w/d)
DevOps Engineer (m/w/d)
encentive
Erneuerbare Energien
Hamburg
- Verifizierte Job-Anzeige
- Art der Anstellung: Vollzeit
- 58.000 € – 75.000 € (von XING geschätzt)
- Hybrid
- Zu den Ersten gehören
DevOps Engineer (m/w/d)
Über diesen Job
Intro
🚀 Our vision: The decarbonization of the industry.
🫵 Your mission: You ensure that our platform runs reliably, securely and at scale by building and automating the infrastructure that makes fast, seamless deployments and stable operations possible.
In the future, it will not only be crucial to consume less energy, but also to consume it at the right time - this is the only way to optimally integrate volatile renewable energies from wind and solar into our electricity system.
With our AI-based flexOn platform, we help industrial electricity consumers to actively flexibilize their energy consumption - in other words, to use electricity when it is particularly green and cheap. Our goal: to drive forward the decarbonization of the energy system - and significantly reduce costs in the process.
At encentive, you will not only have the opportunity to be part of a fast-growing start-up, but you will also be an important part of accelerating the energy transition from day one.
Tasks
- Cloud Infrastructure Management: Own and operate our existing cloud environments (AWS) ensuring reliability, cost-efficiency and security.
- Kubernetes Platform Operations: Design, deploy and maintain our Kubernetes clusters (EKS), including autoscaling, upgrades and capacity planning
- CI/CD Pipeline Development: Build and extend automated build, test and deployment pipelines (GitHub Actions) to speed up Go microservice delivery.
- Monitoring, Alerting & Incident Response: Implement and tune monitoring (Prometheus/Grafana), set up alerting and metrics
- Infrastructure as Code & Automation: Define and maintain IaC (Terraform), plus scripting (Bash, Python, or Go) to automate routine ops tasks.
- Collaborative Development Support: Work closely with backend engineers to troubleshoot, optimize and even contribute code (in Go) when capacity allows.Machine Learning Operations: Develop and maintain end-to-end ML pipelines: data ingestion, training, versioning and automated deployment of models into production.
Requirements
- 3+ years in a DevOps/SRE or Cloud Engineering role, ideally in a startup or fast-moving environment
- Expertise with Kubernetes: provisioning, networking, security policies, Helm or Kustomize
- Hands-on knowledge with AWS and their managed services
- Proficient in Infrastructure as Code using Terraform
- Proven experience writing and maintaining microservices written in go
- CI/CD mastery: building and scaling pipelines (GitLab CI/CD, GitHub Actions, Jenkins, or similar)
- Monitoring & logging: setup and maintain Prometheus/GrafanaOptional: MLOps toolkit: experience with ML pipeline frameworks (e.g., Kubeflow, MLflow, TFX), model versioning, and automated model rollout/monitoring
Benefits
- You have a real impact on climate change from day one.
- We give you maximum entrepreneurial freedom & responsibility with flat hierarchies. Your ideas are not only welcome - they are essential for the further development of encentive
- Become part of a motivated, courageous team with regular team events. Collaboration is at the heart of everything we do.
- Step out of your comfort zone and experience accelerated growth & a steep learning curve in the world of an early stage start-up. Benefit from an attractive salary, Egym membership benefits and the opportunity to work in our offices in Hamburg, Berlin and flexibly from home (please note the general conditions for this position)
Closing
Don't all the requirements apply to you?
If your mindset is the right one, we will invest in your training and give you a first-class onboarding so that you can become part of encentive to decarbonize the industry with us.
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If you've read this far, it's time to apply! Upload your CV or write to us directly. We look forward to getting to know you.
Your encentive team. 💚