5 beste Stellen als python developer in perlach – aktuell auf Personalsuche

Product Engineer
Finto —München
- 30.000 € – 130.000 € pro Jahr
- Vollzeit
Partner Solutions Architect
Nebius —München
- Homeoffice
Direkt bewerben
Senior Platform / DevOps Engineer (m/f/d) — CI/CD, Build Systems & Developer Environments
autonomous-teaming —München
- Vollzeit
Direkt bewerben
1 Tag
Solutions Architect
MongoDB —München
- Homeoffice
- Bachelor
- Ohne Hochschulabschluss
- Mit Reiseanteil
Senior DevOps Engineer - Platform
Twentyfour Industries —München
- Vollzeit
- Informatik
Direkt bewerben
7 Std.

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Staff Data Scientist - Trading (d/f/m)
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Product Engineer

Finto
München

Jetzt bewerben

Details zur Stelle

Vollzeit
30.000 € – 130.000 € pro Jahr

Vollständige Stellenbeschreibung

About Finto

Finto is on a mission to reinvent how enterprises run their finance operations. Starting with AI-powered automation for accounts payable, we eliminate manual invoice handling, supplier chasing, 3-Way-Matching and ERP data entry. Backed by Y Combinator, we’re building the future of enterprise accounting.

Our mission is to free the world’s finance teams from repetitive, low-value tasks so they can focus on impactful work. That starts with building a place where everyone can do their best work. Whether you’re building on our platform, partnering with our customers, or shaping our story: We just make things finance teams want.

About the role

We are looking for a (Senior) Product Engineer to join our team, focused on building and optimizing the next generation of AI-powered enterprise finance tools. As part of the founding engineering team, you will play a pivotal role in shaping our platform and helping some of the world’s largest companies eliminate their manual accounting work.

You’ll work side-by-side with our founders to turn ideas into high-performing, elegant features that slot seamlessly into our customers’ existing processes. Your work will directly define how finance teams experience AI automation - in real life, at scale.

We’re headquartered in Munich, with roots in San Francisco through Y Combinator.

What you’ll do

Build and enhance AI-powered automation tools for invoice processing, ERP integration, and complete accounting workflows.
Architect performant, scalable, and reliable solutions for mission-critical finance operations.
Optimize and refine AI models for accuracy, speed, and usability in real-world scenarios.
Deliver exceptional user experiences through thoughtful UI/UX design, using frameworks like React, Node.
Stay ahead of emerging trends in AI, Web, ERP technology, and automation - and bring the best of them into our platform.
Troubleshoot and resolve complex challenges, ensuring our AI-powered workflows run reliably at scale.

What we’re looking for

3–5+ years in full-stack development, ideally building AI-powered or enterprise-focused products.
Strong JavaScript/TypeScript skills with experience in React and Next.js.
Backend expertise in Node.js or comparable languages like Python or Go, with a focus on scalable APIs and AI-driven services.
Hands-on experience with AI models and APIs
A builder’s mindset - passionate about developer experience and how AI can enhance productivity.
Excellent problem-solving and communication skills in fast-moving, collaborative environments.

Work at Finto

Career-defining growth: Big ambitions mean rapid progression, expanding responsibilities, and access to our San Francisco & YC network.
Competitive pay & meaningful equity: Share in the upside of a YC-backed, fast-scaling company.
25 vacation days + 2 fixed “company recharge days.”
Twice-yearly team offsites and hacker weeks in Europe or San Francisco.

Interview Process

Intro Call – 30 mins with a founder
Deep Dive – 45 mins on product & tech fit
Technical Interview – 90 mins onsite coding & design challenge
Meet the team and Reference Calls
Offer

Compensation Range: €30K - €130K

Jetzt bewerben

Erweiterte Suche

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Product Engineer

Partner Solutions Architect

Senior Platform / DevOps Engineer (m/f/d) — CI/CD, Build Systems & Developer Environments

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