Headquarters: Minneapolis, MN
URL: http://collaboration.ai

Who We Are

Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change.

Our Products

NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward.

CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements.

To learn more about us, visit collaboration.ai.

About the Role

You'll ship product across the full NetworkOS stack — Kotlin/Spring Boot microservices through Next.js/React interfaces — keeping the platform reliable, performant, and architected for 10x growth in regulated enterprise and defense environments.

This is a hands-on execution seat on a small, senior team. You'll own complete vertical slices from database schema to UI, with no cross-team handoff gaps and no "not my layer" excuses. Your code commits move the roadmap — and your work is visible from day one.

Whole-stack ownership. Production every week. Code that moves the roadmap.

What You'll Do

• Deliver features end-to-end — own complete vertical slices (PostgreSQL schema, Kotlin service, GraphQL contract, Next.js UI) and ship production features without waiting on handoffs

• Own core API and service health — design and maintain GraphQL and REST APIs with clean domain boundaries, keeping latency low and reliability high under growing load

• Master the data layer — design PostgreSQL schemas, optimize queries for scale, manage zero-downtime migrations with Liquibase, and build effective caching strategies

• Ship with confidence — comprehensive test suites (unit, integration, contract, UI) at 80%+ coverage, with CI/CD quality gates that catch problems before production

• Build resilient systems — structured logging, distributed tracing, custom metrics, circuit breakers, and graceful degradation patterns

• Elevate the team — mentor mid-level and junior engineers through code reviews, architectural discussions, and pair programming

• Automate with agents — build agentic primitives that make everyday full-stack work faster; AI-native development is how we work, not a side experiment

Our Tech Stack

• Backend: Kotlin, Spring Boot, Ktor, Gradle; GraphQL (Netflix DGS); REST/OpenAPI

• Frontend: Next.js (App Router), React, TypeScript; Turborepo; Tailwind CSS + shadcn/ui

• Data Layer: PostgreSQL, Liquibase, Kafka, DynamoDB, Amazon S3

• AI Integration: Python, FastAPI (LLM-powered service touchpoints)

• Infrastructure: Docker, Kubernetes (AWS EKS), Helm, ArgoCD

• CI/CD: GitHub Actions, Codecov, Snyk

• Observability: DataDog (APM, logs, tracing), OpenTelemetry

• Security: AWS KMS, AWS Secrets Manager, Auth0

What We're Looking For

Must-Haves

• 5+ years of professional software engineering experience, backend-weighted with real production frontend contributions

• Strong proficiency in Kotlin and Spring