"azure kubernetes" Jobs
84 open tech roles matching “azure kubernetes”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Kubernetes, AWS, Azure. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 84 results
Join MongoDB's SLS team as a Senior Software Engineer to build scalable cloud storage services for petabytes of data.
Join Arize AI as a Forward Deployed AI Engineer to partner with enterprise teams in designing and scaling GenAI observability programs.
Lead a team of Solutions Architects to manage complex customer deployments across multiple cloud environments.
Join Rogo as a Solutions Architect to design scalable AI solutions for elite financial institutions.
Join Anthropic as a Staff Software Engineer to enhance deployment infrastructure for AI systems in a collaborative environment.
Design and maintain large-scale backend infrastructure for a leading generative AI platform at Fireworks AI.
Join Counsel Health as a Backend Infrastructure Engineer to shape cloud infrastructure and improve CI/CD in a fast-growing AI healthcare startup.
Join Anthropic as a Staff+ Software Engineer to build production systems for capacity engineering in a hybrid work environment.
Join Harvey AI as a Senior Software Engineer to build and operate core infrastructure for leading law firms and enterprises.
Join Harvey AI as a Staff Software Engineer to build and operate core infrastructure for AI workloads in a fast-growing company.
Join MongoDB as a Senior Software Engineer to build tools for users managing MongoDB at global scale.
Join Sixfold as a Software Engineer to build and operate cloud infrastructure and deployment tooling for AI-driven insurance underwriting.
Join Anthropic's Inference team to design and maintain distributed systems serving AI models to millions globally.
Lead the Capacity Engineering team at Anthropic, ensuring efficient allocation and utilization of infrastructure resources.
Join CoreWeave as a Senior Engineer I to design and optimize large-scale data systems for AI/ML in a fully remote environment.
Own foundational capabilities for enterprise AI, designing data models and APIs while ensuring security and compliance for large-scale customers.