2 months ago
San Jose, CA, USASenior
Responsibilities
- Design, implement, and document hardened Kubernetes integrations for enterprise customer environments.
- Build automation pipelines for infrastructure provisioning and service deployment across hybrid cloud architectures.
- Diagnose, triage, and resolve complex production system issues according to customer business impact.
- Contribute to open-source projects and make strategic system architecture decisions.
- Partner with engineering and customer development teams to deploy and optimize applications on Kubernetes infrastructure.
- Support scalable, reliable, and high-performance AI workloads across enterprise environments.
Requirements
- Strong Kubernetes expertise as both a user and operator, including hardened and high-quality integrations.
- Experience with Linux, virtualization, networking, storage, system architecture, scalability, reliability, and performance.
- Experience debugging and troubleshooting complex production software and maintaining microservice-based services.
- Experience working in large enterprise IT ecosystems.
- Excellent written and spoken English communication skills.
- A university or master's degree in Mathematics, Electronics, Telecommunications, or Software Engineering is preferred.
- OpenStack API familiarity, cloud application onboarding, production operations, large-scale data-intensive systems, AI-related workloads, conference talks, and webinars are nice-to-have qualifications.
Benefits
- Work with a global cloud infrastructure leader and help Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
- Participate in open-source innovation and have an impact on enterprise AI and cloud infrastructure.
- Professional development and training, conferences, working groups, company outings, happy hours, hackathons, and tech talks.
- Competitive compensation package with a strong benefits plan and stock options.
Tech Stack
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