Senior Infrastructure & Data Platform Engineer

Little Journey

23h•Hybrid

About The Position

We are seeking a Senior Infrastructure and Data Platform Engineer to own and evolve the core infrastructure and data platform, and operational reliability of our health-tech product. This is a high-ownership role at the intersection of cloud infrastructure, data systems, DevOps, and operational resilience. You will be responsible for ensuring our platform supports a great DevX experience, is secure, observable, recoverable, and audit-ready, without slowing teams down. You will have significant influence over how the platform is designed and operated. You will work closely with backend engineers, product squads, and leadership to design systems that scale safely, support regulated requirements, and are resilient in real-world operation. Our tech stack and tooling include: GCP, Vercel, GitHub, Bugsnag, Sanity CMS.

Requirements

Strong hands-on experience running production infrastructure on GCP
Experience designing and operating data platforms in production
Deep understanding of cloud security, IAM, and network controls
Practical experience with incident response, on-call, and post-mortems
Experience planning and executing backup, recovery, and resilience testing
Experience contributing to audits, managing penetration testing
Confidence writing and maintaining infrastructure as code
Confidence managing DevX tools e.g. CI/CD

Nice To Haves

Experience in health-tech or regulated domains is a plus but not required if you bring strong fundamentals.
Understand how to make a top-class developer experience that enables high velocity with control.
Have worked in regulated environments

Responsibilities

Own and operate our GCP environment (networking, IAM, compute, storage, managed services)
Design and maintain infrastructure as code (e.g. Terraform)
Ensure environments are secure, well-structured, and cost-aware
Act as a technical expert on cloud architecture decisions
Own and evolve the data technology stack (data stores, pipelines, access patterns)
Ensure data systems are reliable, observable, and fit for analytics and product use
Define standards for data integrity, retention, access, and backup
Own CI/CD pipelines and release safety practices
Design and maintain observability (metrics, logs, tracing, alerts)
Coordinate incident response, post-incident reviews, and remediation
Ensure teams can safely deploy and operate what they build
Own infrastructure-level security posture (IAM, secrets, network controls)
Coordinate and support audits, penetration tests, and risk reviews
Design and run backup and disaster recovery testing (regular, proven recovery)
Proactively identify risks and lead mitigation planning
Produce clear documentation for architecture, runbooks, and operational processes
Partner with engineers to embed reliability and security into everyday delivery
Act as an escalation point for complex operational and infrastructure issues