DevOps Engineer
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Key skills for this role
About the Role
About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups,.
Key Skills for This Role
Responsibilities
- Collaborate with clients and internal teams to design scalable, secure, and high performance infrastructure solutions.
- Lead technical discovery sessions to translate complex business needs into actionable technical architecture.
- Build and deliver high impact proofs of concept (POCs), technical demos, and comprehensive documentation for partners.
- Partner closely with the engineering team to ensure successful product implementations and a seamless 'product market' fit.
- Support pre sales engagements by presenting technical capabilities and addressing deep dive architectural requirements.
- Troubleshoot complex integration issues and provide expert guidance on infrastructure best practices.
- Act as the voice of the customer by gathering feedback and contributing directly to product roadmap discussions.
- Deliver technical enablement sessions, workshops, and onboarding programs for enterprise clients.
Requirements
- 3+ years of experience in a DevOps, SRE, Solutions Engineering, or Cloud Engineering role.
- Deep technical expertise in modern infrastructure: Kubernetes, Docker, REST/GraphQL APIs, and CI/CD workflows.
- Solid scripting or programming proficiency in Python, Go, JavaScript, or a similar language.
- Exceptional communication and presentation skills, with a proven ability to explain complex technical concepts to diverse audiences.
- Relentless 'owner' mentality with the ability to work autonomously in a fast moving environment.
Full Job Posting
About the Company
- Our client is a fast growing cloud infrastructure provider specializing in sovereign AI solutions and decentralized computing.
- By leveraging an extensive network of independent data centers, the team offers high performance GPU and storage resources at a fraction of the cost of traditional hyperscalers.
- Their platform serves a global market of developers and enterprises looking to build, deploy, and scale machine learning models and intensive workloads without being locked into centralized ecosystems.
- As a pioneering startup in the DePIN and AI cloud space, the company is focused on democratizing access to powerful hardware while ensuring data privacy and regional sovereignty.
Key Responsibilities
- Collaborate with clients and internal teams to design scalable, secure, and high performance infrastructure solutions.
- Lead technical discovery sessions to translate complex business needs into actionable technical architecture.
- Build and deliver high impact proofs of concept (POCs), technical demos, and comprehensive documentation for partners.
- Partner closely with the engineering team to ensure successful product implementations and a seamless 'product market' fit.
- Support pre sales engagements by presenting technical capabilities and addressing deep dive architectural requirements.
- Troubleshoot complex integration issues and provide expert guidance on infrastructure best practices.
- Act as the voice of the customer by gathering feedback and contributing directly to product roadmap discussions.
- Deliver technical enablement sessions, workshops, and onboarding programs for enterprise clients.
Qualifications
- 3+ years of experience in a DevOps, SRE, Solutions Engineering, or Cloud Engineering role.
- Deep technical expertise in modern infrastructure: Kubernetes, Docker, REST/GraphQL APIs, and CI/CD workflows.
- Solid scripting or programming proficiency in Python, Go, JavaScript, or a similar language.
- Exceptional communication and presentation skills, with a proven ability to explain complex technical concepts to diverse audiences.
- Relentless 'owner' mentality with the ability to work autonomously in a fast moving environment.
- Nice to Have: Experience with Identity and Access Management protocols (OIDC, SAML, OAuth2).
- Practical understanding of advanced networking and VPNs (WireGuard, IPSec) or distributed systems.
- Familiarity with observability and monitoring stacks (Grafana, Prometheus, ELK, etc.).
- Prior experience working with AI infrastructure, data platforms, or enterprise SaaS.
- A public track record of technical contributions, such as open source projects or technical blogs.
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