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Open nowPosted 5 hours agoWe saw it 52 min after it went up

DevOps Engineer

SkinVision3 open roles

Where
Amsterdam, Noord-Holland, Netherlands
Work mode
Hybrid
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Your applicationOpen nowDevOps EngineerSkinVision · Amsterdam, Noord-Holland, Netherlands

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SkinVision's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. SkinVision postings stay open a median of 13 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 5 hours ago

SkinVision median: 13 days open

The posting

For this role, we will only consider candidates who are currently based in the Netherlands.

About SkinVision

Skin cancer is highly treatable when caught early, but limited access to specialist care and long wait times delay diagnosis, increasing the risk of late-stage cases and driving up treatment costs. SkinVision, founded in Amsterdam in 2012, exists to close that gap. Our proprietary AI — certified as a Class IIa medical device under EU regulation, with over 90% sensitivity and 89% specificity — has already helped nearly 3 million people worldwide detect early signs of skin cancer. Today, SkinVision has a database of more than 6 million skin spot assessments and can reach 20 million people through insurer partnerships. High-risk cases are reviewed by a team of dermatologists, who support users in taking the right next step — from urgent care to a specialist referral. We are extending this further, connecting users faster to the specialist care they need. We're a focused, international team, active globally, united by one goal: making early detection accessible to everyone, everywhere. If you join us, you're not just building a product — you're helping close the gap between a person noticing something and getting the care they need.

DevOps at SkinVision

As a DevOps Engineer at SkinVision, you will play a key role in building, scaling, and securing the infrastructure that powers our AI-driven health platform. You’ll design and maintain our cloud-based systems in AWS, implement CI/CD pipelines, enhance observability using Datadog, and drive operational excellence through automation and monitoring.

Your work will directly impact the reliability and scalability of a medical-grade system that serves users globally. You’ll collaborate closely with backend, ML, and product teams to ensure smooth delivery, rapid deployments, and resilient operations — ultimately enabling us to deliver life-saving technology with confidence.

Beyond hands-on expertise with AWS and modern DevOps tooling, we’re looking for someone who thinks architecturally. You’ll get to know our current setup, form your own view of how it should evolve, and help define a target vision for our infrastructure, then drive its implementation. Day-to-day operational work is part of the role, but we value someone who thinks before building and takes ownership of where our infrastructure goes next.

What you will do

Cloud Infrastructure & Automation

  • Design, build, and manage AWS-based infrastructure, ensuring high availability, scalability, and cost efficiency.
  • Implement and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation.
  • Automate environment provisioning, configuration, and deployments using CI/CD pipelines.
  • Ensure system resilience, security, and performance through automated monitoring and alerting.

CI/CD & Deployment

  • Design and optimize CI/CD pipelines to support rapid, reliable, and safe deployments across environments.
  • Manage deployment workflows using Argo CD and Kubernetes.
  • Collaborate with developers and ML engineers to streamline build, test, and release processes.
  • Integrate automated testing, rollback strategies, and version control into the deployment lifecycle.

Observability & Monitoring

  • Build a comprehensive observability stack using Datadog for metrics, logs, traces, and alerts.
  • Define service-level objectives (SLOs), service-level indicators (SLIs), and dashboards for system performance.
  • Proactively detect and resolve performance bottlenecks, capacity issues, and reliability risks.
  • Create automated health checks and ensure visibility across production systems.

Security & Compliance

  • Implement security best practices for AWS, containers, and CI/CD pipelines.
  • Manage identity, access, and secret handling (IAM, Secrets Manager, Parameter Store).
  • Ensure compliance with medical device standards and data privacy regulations (GDPR, HIPAA).
  • Partner with the Information Security Officer to embed security controls across infrastructure and deployments.

Reliability & Incident Management

  • Lead incident response and root cause analysis for infrastructure or deployment-related issues.
  • Establish SLAs and operational runbooks for production environments.
  • Continuously improve system reliability through chaos testing, redundancy, and fault tolerance.
  • Mentor engineers on DevOps principles, observability practices, and infrastructure automation.

Infrastructure Strategy & Architecture

  • Assess the current infrastructure and deployment setup, and form a well-reasoned view of how it should evolve.
  • Define and maintain a target architecture for our cloud platform, balancing reliability, scalability, security, and cost.
  • Translate the target vision into a practical roadmap and drive its implementation incrementally, alongside day-to-day operations.
  • Document and communicate architectural decisions, aligning with engineering and leadership on technical direction.

Essential skills

  • Minimum of 6 years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles.
  • Strong expertise with AWS services (EC2, ECS/EKS, S3, RDS, CloudWatch, Lambda, etc.).
  • Expert in Kubernetes and Argo CD, deploying and managing production-grade custom Helm charts with secure, automated GitOps workflows in EKS
  • Advanced knowledge of CI/CD systems (GitHub Actions, GitLab CI, Jenkins, or similar).
  • Proficiency in Datadog for observability, monitoring, and alerting.
  • Strong scripting and automation skills in Python, Bash, or Go.
  • Experience managing infrastructure with Terraform, CloudFormation, or Ansible.
  • Familiarity with networking fundamentals, load balancing, and API gateway configuration.
  • Excellent problem-solving and incident management skills.

Desirable skills

  • Experience in regulated industries such as healthcare, MedTech, or FinTech.
  • Familiarity with multi-environment architecture (staging, pre-prod, production) and blue-green deployments.
  • Exposure to event-driven systems, message queues, and data streaming (Kafka, SNS/SQS).
  • Understanding of Zero Trust networking and cloud security best practices.
  • Experience in cost optimization and performance tuning in AWS.

Qualifications

  • A degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Certifications such as AWS Certified DevOps Engineer, Kubernetes Administrator (CKA), or Terraform Associate are a plus.

What we offer

  • A competitive salary, additional benefits, and a hybrid working policy
  • A vibrant, dynamic, and rapidly growing scale-up in Amsterdam
  • An enthusiastic, professional, and international team
  • Regular team events, including off-sites and fun activities
  • Unlimited skin checks for you
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  1. A CV for this posting

    Written against SkinVision's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on SkinVision's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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  5. Reply with AI

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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