Overview 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 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 DoDesign and build resilient backend services and APIsOwn high-level system architecture and major technical decisions across multiple systemsOversee critical data pipelines from ingestion to enrichment to deliveryArchitect systems for 100x data growth over the next three yearsLead major cross-team initiatives and complex project delivery end to endPartner with ML leaders on model integration and agent architectureBuild reliability and test coverage into the code itself with no separate QA layerImprove performance, scalability, and observability across our stackMentor engineers through direction, feedback, and day-to-day supportRaise the engineering bar through design reviews, pairing, and clear technical standardsOptimize for real impact, customer outcomes, and fast iteration over theoretical perfectionUse next-gen AI tools to improve code quality and velocityYou Might Be a Fit If8+ years building and operating complex, production backend systemsDeep experience with high-throughput, large distributed systemsStrong experience with Scala, Python, or functional / JVM languagesComfortable with distributed systems, data modeling, and high-volume pipelinesHistory of providing technical coaching and direction to senior engineersExperience introducing new technologies and patterns across the teamEnjoy greenfield work: from first principles design to deploy and monitoringThrive without heavy process, QA buffers, or endless safeguardsShip, measure, refine over over-architecting, build foundations when neededMotivated by solving real user problems, not just abstract puzzlesExcited to work where AI/ML is deeply embedded in the product, not bolted onWhy Boam AIJoin a no-politics, high-trust, low-ego, and high-talent teamOwn mission-critical systems used by top-tier enterprise customersWork directly with founders and the Head of Engineering on problems that matterHigh autonomy, real impact, and clear ownership from day oneOperate at the intersection of AI, data infrastructure, and enterprise workflowsTop-tier compensation with meaningful equity upsideHelp build the platform, patterns, and engineering culture you can be proud ofOur Hiring Process Our process is fast, structured, and transparent, built to respect your time and surface real mutual fit.Intro Call — A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions.Deep Dive — Walk us through past engineering work, systems you’ve led, and how you think about complex, ambiguous backend and architecture problems.Work Sample — Solve a real Boam-style technical and architecture challenge that shows your system design, technical judgment, and execution muscle.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.#J-18808-Ljbffr