Senior DevOps Engineer

At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that are streamlining the discovery process and driving forward precision medicine, drug development, and bioinformatics research.

Our platform is deployed at leading pharmaceutical, agricultural, and consumer goods companies, and this is just the beginning of our journey.

We are looking for a Senior DevOps Engineer who is strong in cloud infrastructure, security, and clear communication. You will run and evolve the environments where our customers use the platform: our SaaS, customer clouds (BYOC), and on-premises installations. You will work directly with customers’ cloud and security teams, and with our Sales, Account Managers, Product Owners, and other engineers. We value engineers who make their work visible, keep their commitments, and use AI agents every day.
We follow agile practices, own our processes, and continuously evolve with our product.

We value engineers who are:

• Inventive, pragmatic, and curious
• Comfortable navigating ambiguity
• Committed to building excellent engineering culture
• Eager to grow professionally within a strong and collaborative team

This role offers:

• Management of production environments at leading pharmaceutical and life-science companies
• Direct work with enterprise customers on deployments, upgrades, audits, and security reviews
• Real impact on how we secure and run the platform
• An AI-native engineering team that uses agents in daily work
• A small team where your decisions are visible and matter
• An engineering-driven culture with pragmatic decision-making
• Room to grow technically and take on increasingly ambitious challenges

Currently, our bets are placed on AWS, Kubernetes, Terraform, Terragrunt, Flux, Helm, Grafana, VictoriaMetrics, Loki, Vault, and TeamCity, but we’re eager to adapt and innovate.

If you feel this resonates with you, don’t hesitate to reach out to us.

In this role, you will:

• Run and evolve our SaaS, BYOC, and on-premises environments, from infrastructure code to production
• Work directly with customers’ cloud and security teams
• Turn customer and internal requests into clear, estimated work items
• Keep the work in your areas visible: a clear, prioritized backlog, a simple status anyone can check, and runbooks for repeatable tasks
• Keep Sales, Account Managers, Product Owners, and other engineers informed about infrastructure status, risks, and trade-offs
• Improve security across the platform: vulnerability management, secrets, access, encryption, and audit evidence
• Use AI agents to automate routine operations and documentation, with safe access, review, and audit in place

We would like you to have:

• 6+ years in DevOps, SRE, or platform engineering, with 3+ years running production Kubernetes on AWS
• Deep AWS knowledge (EKS, IAM, VPC and networking, S3, KMS)
• Production experience with Kubernetes and Helm
• Strong experience with Terraform and GitOps (Flux or Argo CD)
• Experience with observability (Prometheus-compatible metrics, Grafana, and log systems such as Loki)
• Strong Linux, Bash, and Python skills
• Proven experience in agentic engineering for infrastructure work, including daily use of AI agents and the ability to demonstrate their impact on your workflows
• Solid security basics (CVE patching, secrets management, least-privilege access)
• Experience supporting enterprise customers’ environments, including security reviews and compliance requests
• A habit of making work transparent through clear tickets, documented decisions, and up-to-date documentation
• Interest in life sciences
• Excellent communication skills with both technical and non-technical people
• Fluent English

It would be nice if you have:

• DevSecOps experience (image and dependency scanning, AWS Inspector and AWS Config, CIS benchmarks, encryption at rest, audit evidence, SOC 2, ISO 27001, ISO 27017, or ISO 27018 work)
• Experience with Terragrunt, Vault, Velero, VictoriaMetrics, or TeamCity
• Experience with Azure, Google Cloud, or on-premises Kubernetes
• Knowledge of biology and genetics

We offer you:

• international team of professionals;
• opportunity to work 100% remotely;
• medical insurance, fully paid sick leaves;
• onboarding and domain training for newcomers;
• flexible work schedule.