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Staff Engineer

ABOUT THE ROLE

Job Full source details
Clera Munich Source published Sep 23, 2026 Verified 57 minutes ago
✓ 100% verification score · Source: Clera (ashby) · Always confirm final requirements on the original source.
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EmploymentFull-time

Overview

ABOUT THE ROLE

Full job description

ABOUT THE ROLE This is a founding Staff Engineer position at a seed-stage AI sales automation startup, where you will serve as the technical backbone of a small, fast-moving engineering team. You will own the highest-leverage systems across multiple products, set architectural direction, and raise the bar on quality, reliability, and AI capabilities. The role is deeply hands-on and carries outsized impact at an early stage. WHAT YOU'LL DO

  • Own the most complex engineering work across core systems, shared frameworks, and critical infrastructure.
  • Define and evolve architecture decisions that prevent long-term dead-ends across multiple products.
  • Spend the majority of your time writing and shipping production code, leading by example.
  • Eliminate technical debt by refactoring abstractions and raising engineering and reliability standards.
  • Mentor engineers through code review, pairing, and direct feedback to improve team output and reduce hidden risk.
  • Contribute to the architecture and implementation of AI capabilities, including LLM pipelines and data infrastructure. WHAT WE'RE LOOKING FOR
  • 8 or more years of software engineering experience with a track record of solving genuinely hard technical problems in production.
  • Deep full-stack expertise, with strong backend, API, and infrastructure skills; comfortable on the frontend when needed.
  • Proficiency across the core stack: Python, React, and TypeScript.
  • Cloud and DevOps fluency covering containerization (Docker), at least one major cloud platform (Azure, AWS, or GCP), and infrastructure as code (Terraform).
  • Proven ownership of architecture decisions across multiple products or teams.
  • Demonstrated improvements to production system performance, reliability, and scalability.
  • Experience mentoring engineers and providing technical guidance through hands-on leadership.
  • Experience building or integrating AI systems, LLMs, or large-scale data pipelines is a strong plus.
  • Willingness to work on-site in Munich in a high-intensity, startup environment. COMPENSATION & BENEFITS Salary range: 80,000 to 130,000 EUR annually. Visa sponsorship is not available for this role. LOCATION On-site in Munich, Bavaria, Germany. This role requires full-time presence in the office.

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