Hirelight EB Consulting

DevOps & Kubernetes Engineer (m/f/d)

Stellenbeschreibung:

Join to apply for the DevOps & Kubernetes Engineer (m/f/d) role at Hirelight EB Consulting .

At a well‑funded AI software startup near Porto, a dedicated team of engineers and researchers is rethinking industrial forecasting. With a clear B2B product and a growing client base across Europe and Asia, this company is scaling its ML‑powered infrastructure for real‑world decision‑making. You’ll join a tight‑knit group of 13 people who combine startup agility with deep expertise in data science, cloud infrastructure, and industrial processes. The office is located in Vila Nova da Telha, and English is the working language. Their goal? Build systems that actually get used in procurement and production, not slide decks. Would you join as DevOps & Kubernetes Engineer?

Responsibilities

  • Design, deploy, and manage production‑grade Kubernetes clusters for ML and microservice workloads
  • Maintain and optimise container orchestration, including service mesh, network policies, and resource allocation
  • Oversee CI/CD pipelines using tools such as GitHub Actions, GitLab CI, and Terraform
  • Manage Docker image lifecycle and enforce security best practices
  • Monitor infrastructure health with Prometheus, Grafana, and centralized logging solutions
  • Collaborate on Infrastructure as Code (IaC) and ensure scalable, reproducible deployments
  • Support GPU‑based workloads and optimise GPU resource utilisation for LLM agents
  • Maintain Linux‑based cloud servers, implement security protocols, and manage DNS, VPNs, and firewalls
  • Troubleshoot Python microservices and contribute to automation and monitoring set‑ups
  • Implement model‑serving and orchestration pipelines (MLflow, Kubeflow, etc.)
  • Ensure high availability and disaster‑recovery strategies across systems

Requirements

  • 3‑7+ years of advanced hands‑on experience with Kubernetes administration, including networking, storage, and security
  • Proficient in Docker, multi‑stage builds, and image lifecycle management
  • Strong Linux system administration skills (Ubuntu or RHEL‑based systems)
  • Experience with cloud platforms, ideally Google Cloud Platform (GCP)
  • Solid understanding of CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins
  • Familiarity with Infrastructure as Code (Terraform, Ansible) and GitOps workflows
  • Confident in managing GPU workloads and ML/LLM‑serving infrastructure
  • Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/EFK stack
  • Comfortable with Python microservices and ML workflow troubleshooting
  • Fluent English skills at C1 or above
  • As a DevOps & Kubernetes Engineer, you bring a proactive mindset, technical depth, and readiness to take ownership in a fast‑moving AI environment

Benefits

  • Competitive Salary: Commensurate with your experience and contributions.
  • Flexible Work Setup: On‑site collaboration in Porto, with the option for full remote work after onboarding.
  • Relocation Support: Help with logistics, housing, and onboarding if you move to Porto.
  • Training & Growth Budget: Funding for conferences, courses, and certifications.
  • Direct Impact: Shape critical ML infrastructure for billion‑euro industrial clients.
  • Daily Meal Subsidy: Enjoy lunch at the company when working from the office.
  • Team Events: BBQs, game nights, Christmas party, with first drinks on the house.
  • Onboarding Buddy: Pairing with a colleague to help you ramp up quickly.

You’re passionate about building scalable infrastructure and ready to take ownership in a fast‑paced AI startup? Then apply now as a DevOps & Kubernetes Engineer.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Staffing and Recruiting

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    19 Jan 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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