Senior Infrastructure Engineer
Listed on 2026-07-31
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Software Development
AWS, Cloud Engineer - Software, Backend Developer, DevOps
Senior Infrastructure Engineer
Zurich, Switzerland
Product
In office
Full-time
About RiviaRivia is a technology company building a data engine that powers the future of clinical trial intelligence. Rivia was founded on the belief that new drugs can be brought to market more successfully with a fraction of today's capital.
Biotechs are the source of most therapeutic innovation, yet clinical development is constantly constrained by fragmented data and outdated tooling. Rivia unifies clinical trial data at scale through a core engine built as a reusable intelligence layer, comprising hundreds of configurations and trial-specific logic, independent of source structure. This vertical stack of data engine, workflows, and agents creates a distinct advantage in how trials are operated.
Over the past two years, European and US based biotechs running global clinical trials on Rivia have demonstrated measurable impact, from earlier understanding of therapeutic potential to significantly more efficient trial execution. In March 2026, Rivia raised its $15M Series A led by Earlybird Venture Capital.
Rivia’s ambition is to become the standard infrastructure for modern drug development, transforming how trials are executed end-to-end.
About the RoleAs Senior Infrastructure Engineer at Rivia, you own the AWS platform that everything runs on: EKS clusters, CI/CD, identity, costs, backups, internal tooling. You are our first dedicated infrastructure hire, embedded in the engineering team and working directly with the CTO. The scope is broad: AWS cost analysis one day, a flaky CI runner or a Keycloak upgrade the next. You fix problems, then automate the cause so they stop coming back.
We expect you to work AI-native: leveraging AI agents to elevate our ability to improve security, reduce costs, and resolve performance issues. You work that way by default and keep expanding what the agents can do for us.
Working Model:
This role is based on-site in our Zürich office.
- Full ownership: Owning the complete infrastructure of a company that moves clinical trial data for dozens of customers.
- Fixing things for good: Working through a real backlog and removing root causes so the same problems stop coming back.
- AI-native operations: Directing AI agents to do infrastructure work is already how you operate, and you want an environment that pushes it further.
- Improving a live system: Making an existing platform cheaper, faster, and more reliable step by step, rather than rebuilding it from scratch.
- Defining a function: Shaping what infrastructure at Rivia becomes as the company grows.
- Own our AWS platform end to end across staging and production: EKS, RDS, MemoryDB/Redis, S3, DynamoDB, IAM, networking.
- Understand and reduce our infrastructure costs, from the Spark data pipeline to backups, and keep unit economics improving as customer volume grows.
- Own CI/CD and developer productivity: faster pipelines, fewer flaky tests, better internal tooling.
- Keep our Kubernetes workloads stable and scalable, including the services behind our AI features.
- Run identity and secrets management: Keycloak, SSO, OIDC.
- Build AI-agent workflows for infrastructure work, such as recurring audits of AWS for cost, security, and performance findings.
- Support external penetration tests and provide infrastructure evidence for ISO 27001 and client audits.
- Document core systems and runbooks so the platform does not depend on any single person.
- Experience as the sole or first infrastructure owner at a startup.
- 5+ years of hands-on infrastructure or Dev Ops experience with deep AWS expertise, including cost optimization work.
- Production Kubernetes operations experience.
- A proper software engineer: you write production-quality code and can diagnose and fix problems inside application codebases when needed (JVM experience a plus).
- You have owned complex CI/CD end to end (Git Hub Actions or equivalent).
- An AI-native way of working: you use agents (Claude Code or similar) for real infrastructure work and can show concrete examples.
- Comfortable being the only infrastructure specialist on the team: self-directed, you find and fix problems…
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