Senior Forward Deployed Engineer - AI Orchestration Remote

Camunda; Austin (TX); Remote; USD 157,000 - 254,000; Full time

Benefits offered by this job

Remote work

Annual kickoff travel

Healthcare

Learning budget

Equity

Job summary

Camunda is hiring the first cohort of Forward Deployed Engineers to bring ProcessOS into production at enterprise customers. You will own the deployment journey from first process file to a working, improving system and hand off a functioning capability to the customer’s team.

You’ll work end-to-end across Java services and React interfaces, collaborating with a global team to measure, improve, and scale performance and fault tolerance in distributed systems.

Qualifications

• Experience delivering production-grade deployments inside large organizations.
• Ability to debug integrations and stand up clusters from scratch.
• Clear communication across engineering, architecture, and business leadership.
• Hands-on experience applying AI in production settings, including context management and testing.
• Ability to navigate ambiguity and make judged calls without a playbook.

Responsibilities

• Deploy and prove deployments from first process file to production workflow.
• Drive organizational adoption across technical and business stakeholders.
• Configure Camunda clusters locally and in cloud environments; build custom agents.
• Document deployment patterns and improve the playbook for faster future deployments.
• Contribute integration patterns and production bug fixes back into ProcessOS.
• Hand off projects to customer teams with ongoing training and support.

Skills

Enterprise production experience

Technical depth

Stakeholder communication

Practical AI experience

Comfort with ambiguity

Tools

Camunda

Java

React

Job description

Camunda is hiring the first cohort of Forward Deployed Engineers to bring ProcessOS into production at enterprise customers. You will own the deployment journey from first process file to a working, improving system and hand off a functioning capability to the customer’s team.

You’ll work end-to-end across Java services and React interfaces, collaborating with a global team to measure, improve, and scale performance and fault tolerance in distributed systems.