Remote Engineering Manager — AI-Driven Infra & Scale

Camunda

Connacht

Remote

EUR 120,000 - 180,000

Full time

12 days ago

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Benefits offered by this job

Remote & Flexible: Work from anywhere
Annual Kickoff (Vienna 2025, Madrid 6)
Health & Wellbeing programs
Retirement and pension plans
Learning budget for certifications/cs

Job summary

Camunda is seeking an Engineering Manager to lead a remote team of four infrastructure engineers, guiding them to build a scalable, zero-toil platform. You will drive a strategic direction for CI/CD, artifact distribution, and automation while maintaining high product quality across 150+ engineers and 20+ teams.

You will mentor engineers, translate technical needs into roadmaps, and collaborate with cross-functional partners to reduce toil and enable rapid delivery of autonomous, AI-enabled

Qualifications

  • Experience leading remote engineering teams
  • Ability to translate tech needs into actionable roadmaps
  • Senior-level depth in cloud, CI/CD, and scalable systems

Responsibilities

  • Ensure we continuously deliver and improve our infrastructure platform
  • Guide the team through AI-driven reduction of manual work and achieve zero-touch scalable infrastructure
  • Define and execute strategy for CI/CD and artifact distribution at scale
  • Grow, mentor and coach a remote, high-leverage platform team of 4 engineers

Skills

People leadership
Stakeholder management
Remote/async leadership
Architectural review
Hands-on coding
Python

Tools

GCP
AWS
Kubernetes
Terraform
ArgoCD
GitHub Actions
Self-hosted runners

Job description

Camunda is seeking an Engineering Manager to lead a remote team of four infrastructure engineers, guiding them to build a scalable, zero-toil platform. You will drive a strategic direction for CI/CD, artifact distribution, and automation while maintaining high product quality across 150+ engineers and 20+ teams.

You will mentor engineers, translate technical needs into roadmaps, and collaborate with cross-functional partners to reduce toil and enable rapid delivery of autonomous, AI-enabled

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