Role Description
You will be:
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Shaping the technical direction and architecture of a developer-focused platform, balancing scalability, developer experience, and business goals.
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Collaborating closely with engineering teams to define platform capabilities, prioritize initiatives, and make architecture-informed product decisions.
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Driving the evolution of a cloud-native platform built on Kubernetes, AWS, and modern infrastructure tooling.
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Designing intuitive developer workflows that simplify application deployment, operations, and platform adoption.
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Contributing to platform architecture, including areas such as multi-tenancy, deployment pipelines, identity and access management, and platform security.
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Supporting the development of internal platform capabilities, including build and deployment systems, observability, and developer tooling.
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Working in a fast-paced environment, rapidly validating ideas, delivering new capabilities, and iterating based on feedback.
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Contributing hands-on to the codebase when needed, helping the team solve complex technical challenges.
Qualifications
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Proven experience as a Technical Product Owner, Tech Lead, Platform Engineer, or in a similar role focused on developer platforms.
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Experience building or evolving developer-focused platforms such as Railway, Vercel, Netlify, or similar cloud infrastructure products.
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Strong understanding of cloud-native technologies, including AWS, Kubernetes, containers, and deployment pipelines.
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Solid knowledge of platform architecture concepts, including multi-tenancy, control plane vs. data plane, and developer workflows.
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Experience building products from the ground up (0→1) or within early-stage, rapidly scaling environments.
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Strong product mindset with the ability to translate complex infrastructure into intuitive developer experiences.
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Ability to collaborate effectively with engineering teams and make architecture-informed technical decisions.
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Hands-on software engineering experience, ideally with TypeScript, NestJS, or similar backend technologies.
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Understanding of API design, developer experience (DX) principles, identity and access management (IAM), security best practices, and cost optimization (FinOps).
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Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery.
Requirements
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Work from the European Union region and a work permit are required.
Benefits
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Hands-on experience with infrastructure tooling such as Terraform, Helm, Docker, and Kubernetes in production environments.
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Familiarity with observability platforms such as Prometheus, Grafana, OpenTelemetry, or similar solutions.
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Experience building or maintaining CI/CD pipelines, internal developer platforms, or Git-based development workflows.
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Knowledge of billing, metering, or usage-based SaaS pricing models.
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Familiarity with edge computing, CDNs, or high-performance networking architectures.
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Previous experience building developer tools, APIs, or platform products.
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Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work.
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Interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process
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CV review
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HR call
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Interview
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Client Interview
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Decision