What you'll need: 8+ years of production backend or data infrastructure experience, with at least 2 years at Staff Engineer or equivalent level Excellent teamwork and communication skills, with a demonstrated ability to explain complex systems and facilitate collaborative solutions. Deep experience with stream processing systems (Flink, Kafka, or equivalents) at production scale, including failure modes, recovery, and operational burden Strong distributed systems instincts: you think about correctness and reliability before you think about features Experience with data quality or observability infrastructure. You've built or owned the systems that keep a data platform honest Internal product mindset: you treat the teams you serve as customers and make deliberate choices about what to build vs. what not to build It'd be really cool if you also: Have worked with data contracts, schema registries, or data governance tooling Have experience with JVM languages (Scala, Java, Kotlin) and big data DBs (Aerospike/elasticsearch/etc) Have contributed to agentic or LLM-adjacent infrastructure. You understand what "data quality for agents" actually means in practice Have operated at a team technical anchor level in a small, high-scope team where breadth of ownership is the normv About Us: Commerce is evolving faster than the systems built to support it. Agentic AI is redrawing how people buy. Customer expectations have a new ceiling. And bad actors are evolving alongside every advancement. Forter was built to meet this moment — and stay ahead of it. We are a human-first, AI-built company. Our technology analyzes patterns across a network of over 2 billion shoppers, delivering identity intelligence across the entire commerce journey — from sign-up to checkout to returns — that protects revenue and unlocks great customer experiences simultaneously. With Forter, businesses know who to trust, whether it’s humans or the agents shopping for them. The result: zero
