conSALT Personalmanagement GmbH

Senior Cloud Engineer

conSALT Personalmanagement GmbH

full-time

Posted on:

Location Type: Hybrid

Location: PortoPortugal

Visit company website

Explore more

AI Apply
Apply

Job Level

About the role

  • Design, deploy, and manage production-grade Kubernetes clusters for ML and microservice workloads
  • Maintain and optimize container orchestration, including service mesh, network policies, and resource allocation
  • Oversee CI/CD pipelines using tools like GitHub Actions, GitLab CI, and Terraform
  • Manage Docker image lifecycle and enforce security best practices
  • Monitor infrastructure health using Prometheus, Grafana, and centralized logging solutions
  • Collaborate on Infrastructure as Code (IaC) and ensure scalable, reproducible deployments
  • Support GPU-based workloads and optimize GPU resource utilization 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 setups
  • 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
  • Strong experience with database and data management, especially PostgreSQL
  • 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 like 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 stacks
  • Comfortable troubleshooting Python microservices and ML workflows
  • Fluent English skills at C1 level or above
Benefits
  • Competitive salary: Commensurate with your experience and contributions.
  • Remote work: On-site presence in Porto is expected during the initial 1–2 years to work closely with the full team and establish strong collaboration. After this phase, full remote work is an option.
  • Relocation support: For on-site onboarding or if you decide to move to Porto, you will receive assistance with logistics, housing, and onboarding connections to make the transition smooth.
  • Training & growth budget: Allocated for conferences, courses, and certifications.
  • Daily meal subsidy: Lunch provided by the company when working from the office.
  • Team events: From BBQs to game nights and a Christmas party, with the first drinks on the house.
  • Onboarding buddy: You won’t be left alone—paired with someone who helps you ramp up quickly.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Kubernetes administrationDockerPythonPostgreSQLLinux system administrationCI/CD pipelinesInfrastructure as CodeGPU workloadsMLflowKubeflow
Soft Skills
collaborationtroubleshootingcommunication