# Staff Backend Engineer - Company: [Boam]() - Location: Budapest · Cape Town - Team: Engineering - Employment type: Full Time - Posted: December 16, 2025 ## Job description ## **Architect and scale the core systems behind our managed data agents** Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. As a Staff Backend Engineer, you will lead the technical direction of our Scala + Python data and agent infrastructure. You’ll own long-term architecture across multiple systems and scale both existing and greenfield services to keep our data fresh, our APIs fast, and customer workflows moving. This is a role for someone who wants to set the bar for technical excellence, mentor other engineers, and take responsibility for hard distributed systems problems with minimal safety nets and a small, senior team. ## What You’ll Do * Design and build resilient backend services and APIs * Own high-level system architecture and major technical decisions across multiple systems * Oversee critical data pipelines from ingestion to enrichment to delivery * Architect systems for 100x data growth over the next three years * Lead major cross-team initiatives and complex project delivery end to end * Partner with ML leaders on model integration and agent architecture * Build reliability and test coverage into the code itself with no separate QA layer * Improve performance, scalability, and observability across our stack * Mentor engineers through direction, feedback, and day-to-day support * Raise the engineering bar through design reviews, pairing, and clear technical standards * Optimize for real impact, customer outcomes, and fast iteration over theoretical perfection * Use next-gen AI tools to improve code quality and velocity ## You Might Be a Fit If... * 8+ years building and operating complex, production backend systems * Deep experience with high-throughput, large distributed systems * Strong experience with Scala, Python, or functional / JVM languages * Comfortable with distributed systems, data modeling, and high-volume pipelines * History of providing technical coaching and direction to senior engineers * Experience introducing new technologies and patterns across the team * Enjoy greenfield work: from first principles design to deploy and monitoring * Thrive without heavy process, QA buffers, or endless safeguards * Ship, measure, refine over over-architecting, build foundations when needed * Motivated by solving real user problems, not just abstract puzzles * Excited to work where AI/ML is deeply embedded in the product, not bolted on ## Why Boam AI * Join a no-politics, high-trust, low-ego, and high-talent team * Own mission-critical systems used by top-tier enterprise customers * Work directly with founders and the Head of Engineering on problems that matter * High autonomy, real impact, and clear ownership from day one * Operate at the intersection of AI, data infrastructure, and enterprise workflows * Top-tier compensation with meaningful equity upside * Help build the platform, patterns, and engineering culture you can be proud of ## Our Hiring Process Our process is fast, structured, and transparent, built to respect your time and surface real mutual fit **1. Intro Call** A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions. **2. Deep Dive** Walk us through past engineering work, systems you’ve led, and how you think about complex, ambiguous backend and architecture problems. **3. Work Sample** Solve a real Boam-style technical and architecture challenge that shows your system design, technical judgment, and execution muscle. **4. Founder / Leadership Conversation** Candid discussion with our founder and Head of Engineering on ambition, values, ownership, and how you’d help us scale the platform and the team. ## Apply [Apply on Boam]() Canonical job page: