Summary
✨ AI‑Generated
A senior software engineer will join an early-stage product team to work closely with technical leadership. Rather than simply executing tickets, you will shape the product, make architectural decisions, and own products and features end to end while helping build a modern platform.
Highlights
Early engineering hire with direct exposure to founders and substantial influence over product direction and architecture. Provides end-to-end ownership of products and features and the opportunity to shape a modern software platform from an early stage.
Description
Avento is a property management company in Munich.
We manage buildings on behalf of property owners.
We're building our own software platform to run our business better than legacy tools allow.
We are fully vertically integrated, i.e.
we don't sell this software - it's a tool to deliver a better service to our clients and operate more efficiently than competitors.
Our growth strategy: Acquire traditional property management companies, migrate them onto our platform, and scale.
The first version of our software is running in production and built on a modern stack.
Now it is time to develop its full potential.
You'll work with founders who have successfully scaled and sold a business before, managing global engineering teams of 100+ people.
Tasks
You'll be the second engineer on our product team, working directly with our founder/technical lead.
This isn't a "ticket executor" role - you'll shape the product, make architectural decisions, and own products and features end-to-end.
We don't have a separate product team handing you polished specs.
You'll get context on what we're trying to achieve, and then figure out how to get there.
That means talking through requirements, exploring different approaches, and making judgment calls about what to build and what to skip.
If you enjoy the space between "here's a problem" and "here's a working solution" - not just the coding part - you'll thrive here.
Day-to-day, you'll:
Understand user requirements and our problem space
Design data models, APIs, and our architecture
Build core features for our property management platform
Develop tooling for migrating acquired companies onto our platform
Work with AI coding tools as part of your normal workflow - we treat Claude Code and similar tools as productivity multipliers, not toys
Over time, you'll become deeply familiar with the property management domain and work with users in our property management companies.
You'll help us use learnings from our acquisitions and incorporate them into our product.
Requirements
Must have:
Product curiosity - you want to understand why you're building something, not just how
Strong experience building robust (SaaS) applications
Comfortable designing and owning frontend and backend systems including their infrastructure
You know best practices and can judge output of AI coding agents in both frontend and backend development
Ideal:
Strong experience with Spring Boot and the Spring ecosystem
React/TypeScript experience
Experience with Operations (Terraform, Azure, AWS, AI Services, ...)
Pragmatic approach to AI tools - you've tried them, know how to use them, you see the potential, you're not religious about it either way
Fluent German - you'll encounter German legal concepts, documents, and occasionally talk to operational staff
Bonus:
Exposure to property management, real estate, or German Mittelstand software
Experience with data migrations or system integrations
What we're NOT looking for:
Someone who needs detailed specs for every task
Pure backend or pure frontend specialists who won't cross boundaries
People uncomfortable with ambiguity in a small team
Tech stack:
Backend: Modern Java Spring Boot stack
Frontend: React, TypeScript
Data: PostgreSQL
Infrastructure: Azure and AWS (Terraform managed)
Benefits
Real impact: Small team, real users, decisions that matter
Grow with us: Join early and grow your role as the company scales - today's second engineer could be tomorrow's tech lead
Sustainable growth: We're not venture-backed - we're building a profitable, long-term business, not chasing hypergrowth
AI-native development: We're genuinely integrating AI into how we build - both as tooling and as product features
Gain real-world Agentic-AI experience: You'll learn how to build, deploy, and evaluate AI agents in production
Growth story: Acquisitions mean new problems to solve, not just feature factories
Domain depth: Property management is unglamorous but complex - good problems for engineers who like systems thinking
Skip the long cover letter.
Instead, tell us about a project you worked on that you're genuinely passionate about - what you built, why it mattered, what you learned.
Our process:
Screening call: We talk about your passion project and what you are looking for
One technical interview: We build something together and discuss your technical experience
One cultural interview: You get to know someone else from the team
A paid day of working together - the best way for both sides to see if it's a good fit