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PointFive

Enterprise cloud cost optimization software

Backend Tech Lead

Backend EngineeringConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedHybrid

About the Job

Requirements

  • At least 8 years of experience in backend software engineering, including designing, building, and operating large-scale cloud production systems.
  • Strong coding fundamentals in backend technologies such as Go, Python, or Java.
  • Experience leveraging AI coding agents, such as Claude Code, and implementing AI-oriented workflows to improve team productivity and code quality.
  • Production-grade experience with AWS, containerization using Kubernetes or Docker, microservices, and distributed databases or data warehouses such as PostgreSQL or Snowflake.
  • Practical experience working with large data volumes, data pipelines, or integrating AI/large language model technologies into production environments.
  • Demonstrated experience leading technical workflows, driving complex cross-team initiatives, or acting as a full-lifecycle domain owner.
  • Ability to build technical consensus, inspire peers, and drive alignment across stakeholders.

Responsibilities

  • Drive strategic initiatives by leading complex technical projects, AI feature development, and core architectural components with an ownership mindset.
  • Design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
  • Collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
  • Establish development guidelines, lead design and architecture reviews, and raise code quality across teams.
  • Mentor fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

About the Company

PointFive

Enterprise cloud cost optimization software

PointFive offers an enterprise cloud cost optimization platform that uses Cloud Efficiency Posture Management (CEPM) to identify and reduce waste across multi-cloud environments (AWS, GCP, Azure). It uses DeepWaste detection to perform granular scans of infrastructure such as DynamoDB, EKS, and S3, surfacing actionable workflows for engineers to implement cost-saving measures. The platform combines granular waste detection with engineering-friendly remediation and ongoing optimization, guided by the founders’ cybersecurity background. Its goal is to help enterprises lower and control cloud spend over time by shifting from reactive fixes to a proactive, automated cost-optimization program, monetized through enterprise software licenses and partnerships with VARs, MSPs, and GSIs.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$96M
Headquarters
Tel Aviv-Yafo, Israel
Founded
2023

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