Growth & Marketing
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…
A well-funded, early-stage B2B SaaS startup building self-improving conversational agents that run product demos 24/7.
Clera is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.
Join an early-stage fintech team building an AI-enabled platform for traders. You will develop reliable, high-throughput backend systems that stream market data to users and connect with trading venues.
Build and maintain real-time streaming services that support many concurrent users and connections.
Design and improve high-throughput, event-driven backend systems.
Develop distributed systems for reliable market data and trading platform infrastructure.
At least 8 years of backend engineering experience and strong software fundamentals.
Proficiency in Java or Kotlin, with experience building real-time streaming backends and high-throughput event-driven systems.
Experience with distributed systems.
Python experience is useful; TypeScript and React experience is relevant for full-stack work.
Experience with financial markets, trading, crypto, stocks, fintech, market data, or trading venues is a plus.
Experience in a venture-backed fintech startup environment is also useful.
Competitive salary and meaningful equity. Salary range and visa sponsorship details were not provided.
Remote, with the primary location listed as Munich, Bavaria, Germany. Other listed geographies include Berlin, Los Angeles, San Francisco, New York, and remote in Latin America.
Posted by Clera on their own careers page — you apply directly, no recruiter in between. View original / apply →
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…