Staff Engineer

Clera; München; Vor Ort; EUR 90.000 - 200.000; Vollzeit

Zusammenfassung

Clera in Munich is seeking a founding-level Staff Engineer to serve as the technical backbone of the engineering organization, owning high-leverage systems across multiple products and setting architectural direction.

You will spend the majority of your time writing and shipping production code, mentoring engineers, and raising the bar on reliability and AI capabilities in an early-stage environment.

Qualifikationen

• 8+ years of software engineering experience with production impact.
• Deep full-stack expertise: backend, API, and infrastructure; comfortable with frontend (Python, React, TypeScript).
• Proven architectural leadership across multiple products and teams.
• Track record of improving performance, reliability, and scalability.
• Cloud and DevOps fluency: Docker, Azure/AWS/GCP, Terraform.
• Experience building or integrating AI systems, LLMs, or data pipelines.
• Hands-on leader who mentors by doing and raises team effectiveness.
• Ability to operate pragmatically in an early-stage, high-intensity environment.

Aufgaben

• Own the most complex, highest-leverage engineering work: core systems, shared frameworks, and critical infrastructure.
• Define and evolve architecture decisions that prevent long-term dead-ends across products.
• Spend the majority of your time writing and shipping production code, leading by example.
• Eliminate technical debt by refactoring abstractions and raising reliability and engineering 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.

Kenntnisse

Python

React

TypeScript

Cloud & DevOps

LLMs / AI pipelines

Full-stack architecture

Docker

Tools

Terraform

Docker

Azure

AWS

GCP

Jobbeschreibung

About the Role

This is a founding-level Staff Engineer position at a fast-moving, Y Combinator–backed B2B SaaS startup building AI-powered sales automation for distributors and manufacturers. You'll serve as the technical backbone of the engineering organization — owning high-leverage systems across multiple products, setting architectural direction, and raising the bar on quality, reliability, and AI capabilities.

What You'll Do

• Own the most complex, highest-leverage engineering work: core systems, shared frameworks, and critical infrastructure.

• Define and evolve architecture decisions that prevent long-term dead-ends across products.

• Spend the majority of your time writing and shipping production code, leading by example.

• Eliminate technical debt by refactoring abstractions and raising reliability and engineering 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+ 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 (Python, React, TypeScript).

• Proven experience designing and evolving systems across multiple products and teams, including long-term architectural strategy.

• Demonstrated ability to improve system performance, reliability, and scalability at scale.

• Cloud and DevOps fluency: containerization (Docker), cloud platforms (Azure, AWS, or GCP), and infrastructure as code (Terraform).

• Experience building or integrating AI systems, LLMs, or large-scale data pipelines is a strong plus.

• A hands-on technical leader who mentors by doing and multiplies team effectiveness.

• Mission-driven, pragmatic, and decisive under uncertainty — comfortable operating with intensity in an early-stage environment.

Compensation & Benefits

Salary range: €90,000 – €200,000 EUR annually. Visa sponsorship is not available.

Location

On-site in Munich, Bavaria, Germany. Candidates must be willing to work in-person full-time.