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DevOps Engineer – Internal Developer Platform

Tridonic · Vila Nova de Gaia

🇬🇧 English
Infrastructure-as-Code Cloud-native platforms CI/CD pipelines Predictive autoscaling FinOps Automated security scanning Secrets management Compliance-as-code AI Ops

Job description

About the role

You will join a fast‑moving engineering team as a DevOps Engineer responsible for designing, governing, and scaling a next‑generation internal developer platform. The role focuses on building a resilient, secure, and cost‑effective hybrid cloud ecosystem that accelerates AI‑assisted software delivery.

Key responsibilities

  • Support Developer Experience by tracking and optimizing deployment frequency, lead time, change failure rate, and MTTR.
  • Orchestrate parallel delivery pipelines for high‑velocity preview environments and audited production releases.
  • Design and maintain cloud‑native platform architecture using an “Architecture‑as‑Product” mindset.
  • Implement FinOps and predictive autoscaling policies via Infrastructure‑as‑Code.
  • Embed automated security scanning, vulnerability detection, secrets management, and compliance‑as‑code into CI/CD pipelines.
  • Collaborate with cross‑functional squads to create end‑to‑end delivery frameworks.
  • Drive AI‑Ops‑based predictive observability and self‑healing mechanisms.
  • Curate reference architectures, service templates, and Golden Paths for AI code assistants.
  • Mentor teams and mitigate AI transformation side‑effects.

Required profile

  • Bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field, or equivalent demonstrated expertise.
  • Strong motivation, adaptability, and a growth mindset.

Required skills

  • Infrastructure‑as‑Code (IaC) practices.
  • Cloud‑native platform design and management.
  • CI/CD pipeline development and automation.
  • Predictive autoscaling and FinOps principles.
  • Automated security scanning, vulnerability management, and secrets handling.
  • Compliance‑as‑code (e.g., GDPR, ISO) integration.
  • AI‑Ops driven monitoring and anomaly detection.

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Tridonic

Vila Nova de Gaia