Atlas Intelligence
ALL ROLES
ENGINEERINGPLATFORM

Backend / Platform Engineer

LILONGWEFULL-TIMEATLAS INTELLIGENCE · MALAWI

Build the services, storage, and provenance systems that hold the Atlas platform together.

01ABOUT THE ROLE

You will work on the core of the platform: the services that ingest events, maintain provenance, and expose intelligence to the rest of the system. This is systems engineering, not CRUD.

02WHAT YOU WILL DO
  • Build and maintain backend services across the Atlas platform.
  • Own the reliability, performance, and correctness of the systems you ship.
  • Work with the intelligence team to expose model outputs through well-designed services.
  • Design for auditability and provenance at every layer.
  • Support tenant isolation and least-privilege access across the platform.
03WHAT WE ARE LOOKING FOR
  • Strong backend engineering background with production systems.
  • Comfort with at least one systems language (Go, Rust, Elixir, or similar).
  • Understanding of distributed systems fundamentals.
  • Ability to work in an environment where requirements evolve.
04NICE TO HAVE

These are not required. They are the kind of background that tends to do well in this role.

  • Experience with event-sourced systems or append-only logs.
  • Background in security-sensitive or regulated environments.
  • Experience operating systems in low-bandwidth environments.
05

Apply for this role

Applications are read by the team that owns the role. We respond to every applicant. If you do not hear back within two weeks, write again.

ROLEBackend / Platform Engineer
TRACKEngineering
TEAMPlatform
LOCATIONLilongwe

A single link is enough. If you have nothing online, skip this and tell us what you have worked on in the note below.

A paragraph is enough. Tell us what you are looking for and why Atlas interests you. Specific is better than polished.

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START A BRIEFING

Bring connected intelligence online in weeks, not years.

We begin with a focused engagement on one operational domain, proving traceable, explainable intelligence end to end, then scale the architecture across the wider network.

01

Scoping

Define the domain, data sources, and decision owners.

02

Deployment

Connect signals, calibrate models, stand up provenance.

03

Operations

Live intelligence, weekly briefings, capability transfer.