Head of Engineering

Breakmark is partnering with Nauta

to hire a Head of Engineering.

About Nauta Nauta is building the operating system for global logistics — turning fragmented operational and document-based data into a single source of truth powered by data and AI. This is a complex, real-world B2B domain where systems must be reliable, scalable, and deeply integrated with external partners. As Nauta grows, engineering quality, velocity, and ownership will define the next chapter.

The role Nauta is looking for a

Head of Engineering

to lead, scale, and elevate the engineering organization while staying deeply connected to the product, the business, and real customer problems. This is

not a process-only role . This is a

builder–leader role .

You’ll own engineering end-to-end —

people, systems, quality, and delivery

— and lead by context, clarity, and example. What you’ll do Own delivery across

Backend, Frontend, Data, and Infrastructure Ensure teams ship

reliable, scalable systems

used for critical logistics operations Balance speed and quality in a high-stakes, real-world environment Set technical direction and guide architecture decisions across distributed, integrations-heavy systems Build and scale a high-performing team with strong ownership and accountability Partner closely with Product, Data/AI, Partnerships, and Leadership What we’re looking for 8+ years of software engineering experience Experience leading engineering teams in startups or fast-growing product companies Background in complex, real-world domains (B2B, logistics, fintech, platforms, data-heavy systems) Strong experience with backend-heavy systems: Microservices, APIs, async/event-driven architectures Data ingestion and processing pipelines Integrations with unreliable external systems Experience running production systems on

AWS Comfortable reviewing architecture and code, even if not coding daily Tech stack context (experience leading teams in a stack like this): Backend: Kotlin, Python Data: PostgreSQL, MongoDB / NoSQL Infrastructure: AWS, containers, CI/CD, observability Integrations: REST, async pipelines, SFTP Data & AI: large-scale ingestion, OCR, LLM-powered workflows in production