Platform Tech Lead (AWS/Kubernetes)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Platform Tech Lead (AWS/Kubernetes): Shaping the technical direction and architecture of a developer-focused platform with an accent on scalability, developer experience, and cloud-native infrastructure. Focus on designing intuitive developer workflows, implementing multi-tenancy, and driving the evolution of a Kubernetes-based platform.
Location: Must be based in the European Union (Bulgaria, Poland, Romania) and possess a valid work permit
Company
is a global AI-first digital transformation and engineering partner specializing in building scalable products, platforms, and data-driven solutions for high-profile global clients.
What you will do
- Shape the technical direction and architecture of a developer-focused platform, balancing scalability and developer experience.
- Collaborate with engineering teams to define platform capabilities and make architecture-informed product decisions.
- Drive the evolution of a cloud-native platform built on Kubernetes, AWS, and modern infrastructure tooling.
- Design intuitive developer workflows that simplify application deployment, operations, and adoption.
- Develop internal platform capabilities including build systems, observability, and identity and access management.
- Contribute hands-on to the codebase to help the team solve complex technical challenges.
Requirements
- Proven experience as a Technical Product Owner, Tech Lead, or Platform Engineer focused on developer platforms.
- Experience building or evolving cloud infrastructure products similar to Railway, Vercel, or Netlify.
- Strong understanding of AWS, Kubernetes, containers, and deployment pipelines.
- Hands-on software engineering experience, ideally with TypeScript and NestJS.
- Must be based in the European Union region and hold a valid work permit.
- Practical experience using AI-powered assistants (ChatGPT, Claude, Copilot) to improve delivery quality.
Nice to have
- Hands-on experience with Terraform, Helm, and Docker in production environments.
- Familiarity with observability platforms such as Prometheus, Grafana, or OpenTelemetry.
- Knowledge of billing, metering, or usage-based SaaS pricing models.
- Experience applying GenAI in a structured way within the SDLC.
- Interest in AI-driven practices for automation of analysis and documentation.
Culture & Benefits
- Engineering-first culture with a strong focus on growth and continuous knowledge sharing.
- Opportunity to work with a global team of 5,000 professionals across 16 countries.
- Engagement with a diverse portfolio of leading clients like Spotify, Disney, and McLaren.
- Exposure to an AI-first approach to digital transformation and engineering excellence.
Hiring process
- CV review followed by an HR call.
- Technical interview.
- Client interview and final decision.
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