Senior Cloud & Infrastructure Engineer - Project Delivery & Implementation (m/f/d)

Academic Key; Leipzig; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Cuculus is hiring a hands-on senior engineer to design, build, implement and manage secure, scalable cloud and infrastructure environments for customer projects across cloud, on‑premises and hybrid platforms. You will own customer environment delivery from approved architecture through cloud provisioning, IaC, OpenShift/Kubernetes implementation and production readiness.

This is not routine production support; you will tackle critical issues requiring specialist expertise, with hybrid work in

Qualifications

• 5+ years in cloud infrastructure or DevOps roles
• Degree in computer science or related field, or equivalent
• Strong Linux administration and troubleshooting
• Excellent written and verbal communication in English

Responsibilities

• Design, deploy and manage cloud infrastructure and services across AWS/Azure or equivalent, including on‑premises and hybrid integrations.
• Translate approved architecture into development, UAT, staging and production environments with high availability and DR.
• Build and maintain CI/CD pipelines, IaC modules, and automation using Terraform, Ansible, Python or Bash.
• Implement security, IAM/RBAC, encryption, networking controls and cost optimization.
• Lead migrations, go‑live activities and post‑migration stabilization with thorough handover.

Job description

Shape the utilities market of the future with us! Permanent / Full-time / Leipzig, Erfurt or Ilmenau (hybrid) – remote within Germany possible / Start ASAP Cuculus is looking for a hands-on senior engineer to design, build, implement and manage secure, scalable and cost-effective cloud and infrastructure environments for customer projects across cloud, on-premises and hybrid platforms. What is the role about? Own customer environment delivery from approved architecture through cloud provisioning, Infrastructure as Code, OpenShift/Kubernetes implementation, migration, production readiness, optimization and handover. This is not a routine Production Support role; the engineer will assist with critical customer issues requiring specialist expertise. Your Role at a Glance Cloud infrastructure and services Design, deploy and manage cloud infrastructure and services across AWS, Azure or equivalent platforms, including on-premises and hybrid integrations. Configure networking, identity and access management, compute, storage, databases, load balancers, DNS, firewalls and customer connectivity. Translate approved architecture into development, UAT, staging, production, High Availability and Disaster Recovery environments. Infrastructure as Code, platforms and CI/CD Implement version-controlled Infrastructure as Code using Terraform and develop secure, reusable modules for repeatable customer environment builds. Deploy, configure and manage OpenShift and Kubernetes platforms, including networking, ingress, storage, certificates, RBAC, secrets and workload resources. Build and maintain CI/CD pipelines and cloud automation using approved tools such as Ansible, Helm, GitOps, Python and Bash/Shell. Security, resilience, monitoring and cost Apply cloud security, compliance and governance requirements across IAM/RBAC, encryption, secrets, network controls, operating systems and platform configuration. Implement backup, High Availability and Disaster Recovery practices and validate recovery against defined RTO and RPO requirements where applicable. Monitor performance, availability, security and cost; optimize scalability, resilience, capacity and cloud spending without compromising service requirements. Migrations, delivery and technical escalation Assess and support infrastructure and workload migrations, including dependencies, cutover planning, rollback, validation and post-migration stabilization. Troubleshoot complex infrastructure, cloud-platform, CI/CD and deployment issues during implementation, testing, go-live and major technical escalations. Complete production-readiness checks, acceptance evidence, knowledge transfer and formal handover; routine operational ownership remains with Production Support. Standards, collaboration and responsible AI adoption Develop cloud and infrastructure standards, architecture records, reusable modules, implementation guides, operational runbooks and support documentation. Collaborate with developers, security teams, architects, DBAs, network specialists, project teams and customers to deliver complete working environments. Use approved AI tools for IaC, pipeline development, automation, troubleshooting and documentation. Review, test and security-validate outputs and protect confidential data in line with company policy. Must-haves (to thrive in this role) Experience & education 5+ years of relevant experience in cloud infrastructure, platform engineering, DevOps, infrastructure or system engineering. Proven experience independently building and implementing customer or production environments end to end, including migration and production go-live activities. A degree in computer science or a related field, or an equivalent qualification. Cloud, platforms & infrastructure Hands-on experience with AWS, Azure or an equivalent enterprise platform. Experience with on-premises or hybrid infrastructure, not only public cloud. Hands-on experience with OpenShift and/or production-grade Kubernetes, together with strong Linux administration and troubleshooting skills. Strong knowledge of networking, IAM, compute, storage, databases, load balancing, DNS, firewalls, private connectivity and TLS. Automation Strong hands-on Terraform experience, including reusable modules, state management, version control and controlled infrastructure changes. Experience building CI/CD pipelines and automation using Ansible, Python, Bash/Shell or equivalent tools. Operations & collaboration Experience with cloud monitoring, security, compliance, backup, HA/DR, scalability and cost optimization. Strong troubleshooting, customer-facing communication, documentation and cross-team collaboration skills, with responsible adoption of approved AI tools. Location & language You work from one of our offices in Leipzig, Erfurt or Ilmenau 3 days per week – or, if you live further away in Germany, you can come to one of our offices about once a month. Our company language is English - good English skills are a must. Nice