Senior DevOps Engineer - AWS, Kubernetes, CI/CD (Hybrid)

SkinVision BV

Amsterdam

Hybrid

EUR 90,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

Hybrid working policy
Team events
Hybrid work policy

Job summary

SkinVision BV in Amsterdam is seeking a seasoned DevOps Engineer to scale and secure our AI-driven health platform. You will architect the cloud, implement IaC, and own CI/CD pipelines, collaborating with backend, ML, and product teams to ensure reliable deployments.

The role emphasizes infrastructure as code, Kubernetes, security, and incident management, with a hybrid working policy and a dynamic, international team.

Qualifications

  • Minimum of 6 years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles.
  • Expert in Kubernetes and Argo CD, deploying production-grade Helm charts with GitOps in EKS.
  • Strong scripting and automation skills in Python, Bash, or Go.
  • Familiarity with Terraform, CloudFormation, or Ansible.

Responsibilities

  • Design, build, and manage AWS-based infrastructure for high availability and scalability.
  • Implement and manage IaC using Terraform or CloudFormation.
  • Automate provisioning, configuration, and deployments via CI/CD pipelines.
  • Ensure security, performance, and observability across production systems.
  • Lead incident response and drive root cause analysis and runbooks.
  • Collaborate with engineering teams to align on architectural decisions and roadmap.

Skills

DevOps/SRE
Cloud infrastructure
Kubernetes
AWS
GitOps
Datadog
Scripting (Python/Bash/Go)
Networking fundamentals
Incident management
Security best practices

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

AWS
Kubernetes
Argo CD
Terraform
CloudFormation
Ansible
GitHub Actions

Job description

SkinVision BV in Amsterdam is seeking a seasoned DevOps Engineer to scale and secure our AI-driven health platform. You will architect the cloud, implement IaC, and own CI/CD pipelines, collaborating with backend, ML, and product teams to ensure reliable deployments.

The role emphasizes infrastructure as code, Kubernetes, security, and incident management, with a hybrid working policy and a dynamic, international team.

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