Remote Software Engineer, Engineering Operations (AI-Driven)

Camunda

United Kingdom

Remote

GBP 90,000 - 149,000

Full time

7 days ago
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Benefits offered by this job

Remote work
Annual kickoff
Wellbeing program
Learning budget
Equity plan

Job summary

Camunda is transforming into an AI-first organisation and seeks a Software Engineer for the Engineering Operations Team. You will help build scalable core processes to improve development efficiency, reliability, and quality across Camunda 8.

Join a global, remote-friendly environment and contribute to autonomous, frictionless workflows within a growing platform. You will work with infrastructure and core software teams to enhance CI processes, manage dependencies, and drive AI adoption while

Qualifications

  • Proven software engineering track record, Java preferred.
  • Experience in CI/CD optimization, dependency management, and release processes.
  • Strong collaboration across teams in a platform environment.
  • Experience with developer experience tools and AI adoption.

Responsibilities

  • Implement autonomous CI lifecycle improvements with AI-assisted release management.
  • Optimize CI/release health and development velocity with a metric-driven approach.
  • Collaborate to define the CI strategy and engineering best practices.
  • Identify friction points and automate workflows across cross-team stakeholders.

Skills

Java
Fullstack
Backend
CI/CD
GitHub Actions
Maven
Docker
Shell
Python
Collaboration
Developer Experience tools
AI adoption

Tools

Camunda BPMN

Job description

Camunda is transforming into an AI-first organisation and seeks a Software Engineer for the Engineering Operations Team. You will help build scalable core processes to improve development efficiency, reliability, and quality across Camunda 8.

Join a global, remote-friendly environment and contribute to autonomous, frictionless workflows within a growing platform. You will work with infrastructure and core software teams to enhance CI processes, manage dependencies, and drive AI adoption while

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