Senior Backend Platform Builder — Remote, AI-First

Camunda; Atlanta (GA); Remote; USD 144,000 - 232,000; Full time

Benefits offered by this job

Remote & Flexible

Annual Kickoff travel

Live Well lifestyle spending account

Learning budget

Job summary

Camunda Hub is a remote-first team responsible for scaling Camunda across clusters, ensuring access, secrets, licences, and health data flow reliably. You’ll lead backend architecture, craft foundational event models, and own the platform experience used by administrators and developers across Camunda.

You will shape Hub’s boundaries, data model, and failure modes, building AI-first, production-ready features with a small autonomous pod.

Qualifications

• Experience building and running backend systems in production that other teams depend on.
• Ability to translate ambiguous problems into design, plan and shipped code.
• Product judgment for technical users, communicating with API consumers and making trade-offs.
• Clear, concise writing for asynchronous reviews by remote teams.
• Care for system behavior during partial failures or outages.

Responsibilities

• Take over Hub's fleet propagation mechanism for access, secrets, tenants, licences and roles.
• Write design docs and convert them into tested, shipped code.
• Define failure handling for offline clusters and partial outages.
• Trace deployment inventory, health, audit records and licence status back to Hub.
• Design event/webhook mechanisms for reactive admin/agent workflows.
• Join rotations and support other builders with reviews and tests.

Skills

Backend engineering

Java

API design

Design docs

Writing for async reviews

Tools

Helm

Kubernetes

Argo CD

Job description

Camunda Hub is a remote-first team responsible for scaling Camunda across clusters, ensuring access, secrets, licences, and health data flow reliably. You’ll lead backend architecture, craft foundational event models, and own the platform experience used by administrators and developers across Camunda.

You will shape Hub’s boundaries, data model, and failure modes, building AI-first, production-ready features with a small autonomous pod.