Senior Backend Engineer, Java, Spring Boot

🔥 0 minutes ago

🌏 Anywhere in the World

💵 €50k - €90k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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wealthAPI GmbH

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

wealthAPI GmbH is a financial technology company that enables B2B partners to provide personalized and easily accessible financial products to their clients. They offer a range of wealth management tools, APIs, and data-driven solutions that integrate seamlessly with existing financial systems. Regulated by BaFin, they ensure the highest data security and compliance standards while driving the digital transformation in the finance industry.

📋 Description

• Work in a small team, take product assignments, and lead them to completion • Own all phases of planning, development, and delivery • Participate in architectural design and decision-making • Conduct code peer reviews and attend retrospectives • Plan and execute team improvements • Support junior and mid-level team members to achieve high code quality • Use Spring Boot, Ruby on Rails, Postgres, Google Cloud, Kubernetes, Docker, and Astra-DB • Improve architecture, scalability, and security with experienced engineers • Demonstrate communication, ownership, accountability, and teamwork • Think about the product and improve customer experience

🎯 Requirements

• 5+ years of backend development experience • Strong development experience in Java and preferably Spring Boot • Test Driven Development • Extensive unit and integration testing skills • Experience in investing and personal wealth management is a huge plus • Mathematical proficiency is a huge plus • Machine learning experience or related statistical training • Experience with a big-data stack such as MongoDB or Cassandra • Knowledge of financial products and the stock market • Willingness to learn about new technologies • Ability to use data or reliable sources of information to drive decision-making • Ability to take on complex problems, learn quickly, and persist toward a good solution • Ability to balance speed of delivery and code quality • English is mandatory • German is a plus • Residence in a time zone within +/- 2 hours of Berlin time

🏖️ Benefits

• Personal and professional growth • Family and career compatibility • Learning about investing, financial products, and money management • Automation-focused work environment • Equal career opportunity regardless of gender, identity, race, or religion • Transparency and close collaboration • Permanent employment