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SkinVision

AI-powered skin cancer risk assessment app

DevOps Engineer

DevOps EngineeringUpdated on Nov 13
Full-timeAmsterdam, NetherlandsNo salary listedIn-person

About the Job

Responsibilities

  • Design, build, and manage AWS-based infrastructure, ensuring high availability, scalability, and cost efficiency.
  • Implement and manage infrastructure as code 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.
  • 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.
  • Build a comprehensive observability stack using Datadog for metrics, logs, traces, and alerts.
  • Define service-level objectives, service-level indicators, 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.
  • Implement security best practices for AWS, containers, and CI/CD pipelines.
  • Manage identity, access, and secret handling using IAM, Secrets Manager, and Parameter Store.
  • Ensure compliance with medical device standards and data privacy regulations, including GDPR and HIPAA.
  • Partner with the Information Security Officer to embed security controls across infrastructure and deployments.
  • 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.
  • Assess the current infrastructure and deployment setup, and form a reasoned view of how it should evolve.
  • Define and maintain a target architecture for the 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.

About the Company

SkinVision

AI-powered skin cancer risk assessment app

SkinVision provides an AI-powered mobile app for early detection of skin cancer, including melanoma. It analyzes images of skin lesions to generate an immediate risk assessment that users can share with dermatologists. The app is offered on a subscription basis, with features like unlimited skin checks, personalized skin health advice, and a tailored health path. Its market spans direct-to-consumer users and business-to-business partners such as healthcare providers, insurers, and corporate wellness programs. What sets SkinVision apart is its clinically validated technology, collaborations with leading dermatologists, and a strong emphasis on user experience to support timely, accurate skin health decisions. The company’s goal is to reduce late-stage skin cancer diagnoses and improve overall skin health outcomes by making reliable, accessible skin-cancer screening available to a broad audience.

Company size
51-200
Company stage
Series B
Total funding
$12.1M
Headquarters
Amsterdam, Netherlands
Founded
2011

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