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Kubernetes Jobs in New York
309 open positions · Updated 2 months ago
309 Kubernetes roles across 83 companies, most in Backend; 3% fully remote; typical advertised salary $182k
Who is hiring (83 companies)
Work arrangement: 10 fully remote · 168 hybrid · 28 on-site · 103 not stated
Advertised salaries: p25 $152k · median $182k · p75 $207k (from 231 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 309 positions
Search with filters →Join Cockroach Labs as a member of the Cloud Platform team to enhance and scale CockroachDB Cloud services across multiple cloud providers.
Join Datadog as a Partner Solutions Architect to drive technical initiatives and support partner success in a hybrid work environment.
Join MongoDB as a Senior Site Reliability Engineer to enhance our continuous deployment infrastructure and support engineering teams.
Join MongoDB's SLS team as a Senior Software Engineer to build scalable cloud storage services for petabytes of data.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.
Lead the design and execution of Datadog implementations, guiding customers through technical roadmaps in a hybrid work environment.
Join Anthropic's Inference team to design and maintain distributed systems that serve AI models to millions of users worldwide.
Join Datadog as a Senior Manager, Product Solutions Architecture, driving partner technical initiatives in a hybrid work environment.
Drive program execution and strengthen production reliability practices as a Staff Technical Program Manager at MongoDB.
Join Roboflow as a Forward Deployed Engineer to lead the deployment of computer vision solutions in customer environments.
Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.
Join Kong as a Forward Deployed Engineer to help enterprise customers modernize API infrastructure and accelerate AI adoption.