tailkItaly’s Kubernetes talent is in high demand, and the latest tailk.me data shows a clear geographic focus for hiring. Below we break down where the hottest opportunities are and highlight a few representative openings you can explore today.
San Francisco remains the global hub for cutting‑edge cloud and AI work, attracting many Italian engineers willing to relocate or work remotely. Companies are building large‑scale data platforms and AI services that rely on Kubernetes for scalable, resilient deployments. The roles often target senior or staff‑level engineers, offering substantial responsibility and compensation.
- Staff+ Software Engineer, RL Data Platform — Anthropic
- Staff+ Research Engineer, RL Data Platform — Anthropic
- Manager, Applied AI Engineering (Digital Natives) — OpenAI
London’s tech ecosystem continues to expand, driven by fintech, AI startups, and large enterprises modernising their infrastructure. The city’s proximity to major European markets makes it attractive for Kubernetes engineers seeking to work on high‑performance build pipelines, machine‑learning operations, and data‑centric services. Positions often emphasize cross‑functional collaboration and exposure to next‑generation cloud native tooling.
- Senior Software Engineer in Build Engineering — Graphcore
- Staff Machine Learning Engineer - Ops — Wayve
- Machine Learning Engineer (Synthetic Data) — Wayve
Berlin stands out as a fast‑growing hub for security‑focused and e‑commerce tech companies leveraging Kubernetes to protect and scale massive user bases. The market rewards engineers who can bridge infrastructure, security, and application development, often within agile, product‑centric teams. Opportunities range from senior security engineering to backend development on high‑traffic platforms.
- Senior Security Engineer (SOC) (m,f,x) — HelloFresh
- Senior Manager - Infrastructure Security — Delivery Hero
- Software Engineer II, Display Retention - Vendor — Delivery Hero
How to apply on tailk.me
On tailk.me, applying does not start by sending a cold CV. It works like this:
- Go to your AI CV at https://tailk.me/en/my-ai.html#cv and enrich it: add projects, skills, experiences. Add images and videos to the relevant chunks — your profile becomes a conversation, not a PDF.
- Open the listing you're interested in on tailk.me and click “Run interview”. tailk.me's AI runs a realistic interview: your AI CV answers questions from a virtual recruiter who knows the role.
- Get the score (0‑100) and the full chat by email. See what you said well, what you could improve. Then decide whether to actually apply, dismiss the listing, or enrich the CV and try again.
- When you're ready: click “Apply” — you're redirected to the original listing, but knowing exactly how prepared you are.