Kubernetes Researcher

About the role

PointFive, a cloud cost and AI spend optimization company, is hiring a Kubernetes researcher in Tel Aviv. The role owns Kubernetes cost efficiency end to end: starting with observations that something looks expensive, moving through real billing, metrics and inventory data, and ending with a shipped detection adopted by many engineering teams. It sits at the intersection of research, product and engineering.

Key responsibilities

• Research and ship new Kubernetes detections, finding optimization opportunities and proving them against real customer data.
• Own the Kubernetes domain end to end: the detection library and the roadmap to maximize value.
• Work closely with engineering on Kubernetes internals, cloud provider APIs, billing systems and data pipelines.
• Bring domain expertise into pre-sales and post-sales, working directly with prospects.
• Publish thought leadership on Kubernetes cost efficiency: blog posts, white papers, open source contributions, webinars or live sessions.

Required profile

• 3+ years running production workloads on Kubernetes (EKS, GKE or AKS) as an SRE, platform, DevOps or infrastructure engineer, with on-call experience.
• Deep understanding of how requests and limits drive scheduling and pod packing, the cluster autoscaler and Karpenter, and how node group sizing and instance architecture affect performance.
• Ability to own an ambiguous problem from first hypothesis to shipped detection, and to translate research findings into technical requirements and coordinate delivery.
• Strong quantitative skills (analytics, statistics, modeling) and a skeptical, evidence-first mindset.
• Clear communication of technical findings and their business impact to different stakeholders.

Required skills

• Hands-on AWS knowledge (EC2, EKS, ECR, networking, Savings Plans, RIs).
• Working knowledge of Azure or GCP.
• Nice to have: AI/ML infrastructure (GPU node pools, inference serving, Bedrock, Azure OpenAI, Vertex AI), FinOps tools (AWS CUR, Split Cost Allocation Data, FOCUS), dbt, Snowflake, GO, Databricks, BigQuery, ARM/Graviton migrations, cloud security research, academic background.