Jobs / United States / Cuculus Gmbh
Senior Cloud & Infrastructure Engineer - Project Delivery & Implementation (m/f/d)
Cuculus Gmbh · 🇺🇸 Leipzig
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Cuculus Gmbh
This employer posted directly and does not match a government sponsor register.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Cuculus Gmbh →
About the role
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