Staff Backend Engineer

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.