Senior DevOps Engineer (Fully Remote)

Genestack

United States

Remote

USD 140,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

100% remote work opportunity
Medical insurance
Sick leave covered

Job summary

Genestack is a bioinformatics company delivering AI-native software tools for precision medicine and drug development. You will run and evolve our SaaS, BYOC, and on-premises environments, collaborating with customers' cloud and security teams to ensure secure, scalable platforms.

Join an international team of professionals focused on pragmatic decisions, with a 100% remote work opportunity and strong emphasis on security and reliability.

Qualifications

  • 6+ years in DevOps or platform engineering.
  • 3+ years on production Kubernetes on AWS.
  • Deep AWS experience with EKS, IAM, VPC, and more.
  • Strong security basics including CVE patching and least-privilege access.

Responsibilities

  • You will run and evolve our SaaS, BYOC, and on-premises environments.
  • Work directly with customers' cloud and security teams.
  • Keep work visible with clear backlogs and status updates.

Skills

DevOps
Platform engineering
Kubernetes
AWS
Security basics

Education

Bachelor's degree or equivalent

Tools

Terragrunt
Vault
AWS Inspector

Job description

  • You will run and evolve our SaaS, BYOC, and on-premises environments.
  • Work directly with customers' cloud and security teams.
  • Keep work visible with clear backlogs and status updates.
Qualifications:
  • 6+ years in DevOps or platform engineering, with 3+ years on production Kubernetes on AWS.
  • Deep AWS experience with EKS, IAM, VPC, and more.
  • Strong security basics including CVE patching and least-privilege access.
Nice to Have:
  • DevSecOps experience with AWS Inspector and compliance frameworks.
  • Experience with Terragrunt, Vault, or other tools.
  • Knowledge of biology and genetics.
  • International team of professionals.
  • 100% remote work opportunity.
  • Medical insurance and fully paid sick leaves.

Genestack tackles computational challenges in bioinformatics to provide researchers with software tools for precision medicine and drug development. They are a small, AI-native engineering team with a collaborative culture and a focus on pragmatic decision-making.

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