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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Cloud Engineer in Switzerland.
This role sits at the heart of a fast-scaling cloud platform focused on next-generation AI-driven workflow orchestration.
You will design and operate the core cloud infrastructure that powers a highly distributed, global SaaS product.
The environment is highly technical, collaborative, and built for engineers who enjoy solving deep infrastructure challenges.
You will work on multi-region systems, ensuring scalability, reliability, and performance at massive user scale.
The role combines hands-on engineering with architectural ownership across cloud, networking, and Kubernetes ecosystems.
It is an opportunity to shape foundational infrastructure decisions in a high-growth, product-driven engineering culture.
Accountabilities
You will design, build, and operate cloud infrastructure on platforms such as Microsoft Azure, ensuring high reliability, scalability, and operational excellence across global environments. You will create infrastructure solutions from scratch and evolve platform architecture to support rapid user growth and multi-region expansion. Responsibilities include:
You bring strong hands-on experience in cloud infrastructure engineering, ideally across Amazon Web Services, Google Cloud Platform, or Azure environments. You have built systems from the ground up and are confident making architectural decisions in complex, distributed systems. Required skills include:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This role sits at the heart of a fast-scaling cloud platform focused on next-generation AI-driven workflow orchestration.
You will design and operate the core cloud infrastructure that powers a highly distributed, global SaaS product.
The environment is highly technical, collaborative, and built for engineers who enjoy solving deep infrastructure challenges.
You will work on multi-region systems, ensuring scalability, reliability, and performance at massive user scale.
The role combines hands-on engineering with architectural ownership across cloud, networking, and Kubernetes ecosystems.
It is an opportunity to shape foundational infrastructure decisions in a high-growth, product-driven engineering culture.
Accountabilities
You will design, build, and operate cloud infrastructure on platforms such as Microsoft Azure, ensuring high reliability, scalability, and operational excellence across global environments. You will create infrastructure solutions from scratch and evolve platform architecture to support rapid user growth and multi-region expansion. Responsibilities include:
- Designing and implementing scalable cloud infrastructure and platform systems
- Building and maintaining multi-region, highly available architectures
- Operating and optimizing Kubernetes-based workloads using managed services like Azure Kubernetes Service
- Strengthening infrastructure security, hardening, and resilience practices
- Developing Infrastructure as Code using Terraform for repeatable and governed deployments
- Identifying and resolving performance bottlenecks and reliability risks proactively
- Participating in on-call rotations and KTLO (keep-the-lights-on) operations
- Collaborating with cross-functional engineering teams on platform evolution
You bring strong hands-on experience in cloud infrastructure engineering, ideally across Amazon Web Services, Google Cloud Platform, or Azure environments. You have built systems from the ground up and are confident making architectural decisions in complex, distributed systems. Required skills include:
- Proven experience designing and operating production cloud infrastructure
- Strong Kubernetes expertise, including managed services (AKS, EKS, or GKE) β Kubernetes
- Deep understanding of Infrastructure as Code practices using Terraform
- Security-first mindset with experience building hardened cloud systems
- Experience with large-scale, high-availability distributed systems
- Strong architectural judgment and ability to evaluate technical trade-offs
- Hands-on, problem-solving mindset with a growth-oriented approach
- Strong communication skills and ability to collaborate across engineering teams
- Networking fundamentals (routing, connectivity, architecture patterns)
- Kubernetes networking experience (ingress, service meshes, tunneling)
- Mentoring or knowledge-sharing experience
- Prior startup or high-growth environment exposure
- Competitive compensation πΈ
- Equity ownership in the company πͺ
- Remote-first working model across Europe π
- 30 days annual leave (Europe) + public holidays ποΈ
- Health, dental, vision, and retirement benefits depending on location π©Ίπ°
- β¬1K annual learning and development budget π
- Unlimited AI tools budget for productivity and innovation π€
- Strong open-source culture with monthly contribution budget π€
- Regular hackathons and team off-sites for collaboration π€©
- Transparent, high-trust engineering culture with strong autonomy π
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
Ranked by relevance
cloud
kubernetes
ai
infrastructure as code
ai tools
artificial intelligence
google cloud platform
terraform
gdpr
saas
eks
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- Posted
- May 05, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Switzerland
- Company
- Jobgether
Industries
Internet Marketplace Platforms
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
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2026-05-24
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Internet Marketplace Platforms
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View Job Details
Related
AI Research Engineer (Agentic Post-training)
2026-05-26
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Java Developer
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