Volver

Default Job Posting

CompraTica Empleos

EMP:Technology
United Kingdom - London Local
Tiempo Completo
Remoto
0 vistas

Descripción

Unleash AI Innovators, SecurelySoftware is being rewritten in real time.

AI agents are starting to write more code than humans do, at a speed no security team has ever had to match, and that single shift is opening up the biggest opportunity our industry has seen in a decade.

We're not bracing for it, we're building the company that owns it.

Snyk is building the next generation security platform where security isn't a set of tools people operate.

It's a team of security agents working alongside your engineers, finding, fixing, and governing risk at the speed software is now built.

These agents work alongside both the company build and the agents they adopt.

Security stops being a queue of work waiting for people, and becomes a coordinated workforce companies direct and trust.

Our Opportunity:Runtime Foundation owns the shared cloud foundations that every Snyk service runs on: production Kubernetes clusters, ingress and service mesh, infrastructure provisioning and access, cluster upgrades, reliability and disaster recovery, and our AWS and GCP core services.

We’re looking for a Staff Software Engineer to set technical direction for this platform, lead our most ambiguous and consequential infrastructure work, and act as a trusted technical authority for teams across Snyk that depend on us.

You’ll spend your time:Setting technical strategy for the platform, shaping the roadmap with engineering and product leadership, and making the case for investment in reliability, resilience and cost.

  • Leading cross-team, org-level infrastructure initiatives end-to-end, from problem framing and alignment through to production rollout and adoption.
  • Acting as a technical authority for engineering teams across Snyk, setting infrastructure design standards, reviewing significant proposals, and influencing how teams build securely and reliably on our platform.

Driving architectural direction for Kubernetes at scale, including cluster and node upgrade strategy, and leading diagnosis of deep.

¿Te interesa? Aplicá ahora