
11 - 50 employees
Founded 2022
đź Consulting
đŚ Logistics
đŁ 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.
đĽ 20 hours ago
đŠđŞ Germany â Remote
đľ âŹ50k - âŹ90k / year
â° Full Time
đ Senior
đ Backend Engineer
đť Ghost score 5%
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11 - 50 employees
Founded 2022
đź Consulting
đŚ Logistics
đŁ 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.
⢠Work in a small team and take product assignments through completion ⢠Own all phases of planning, development, and delivery ⢠Participate in architectural design and decision-making ⢠Conduct code peer reviews ⢠Attend retrospectives and execute team improvements ⢠Support junior and mid-level team members in achieving 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 ⢠Think about the product and improve customer experience
⢠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 plus ⢠Mathematical proficiency is a 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 new technologies ⢠Ability to use data or reliable sources to drive decisions ⢠Ability to take on complex problems, learn quickly, and persist toward solutions ⢠Ability to balance delivery speed and code quality ⢠English is mandatory ⢠German is a plus
⢠Personal and professional growth opportunities ⢠Open discussion culture and team-based decision-making ⢠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 ⢠Opportunity to solve real-life investment problems with a vibrant user base ⢠Family and career compatibility emphasized
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