Staff Backend Engineer

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