Backend Engineer

Position: Staff Backend Engineer
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 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.

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.

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