Backend Team Lead

LeadHybrid
Companycheckpoint
LocationTel Aviv, Israel
CategorySoftware Engineering
DepartmentR&D
SeniorityLead
WorkplaceHybrid
Posted2026-09-17
Estimated salary₪42K–52K (a market estimate, not the employer's figure)
Viacheckpoint

Description

Key Responsibilities

  • Lead and grow a team of backend engineers , fostering a culture of ownership, innovation, and engineering excellence.
  • Own the technical direction and architecture of the DLP product and its backend services.
  • Design and build high scale distributed systems that ingest, process, and analyze large volumes of SaaS security events.
  • Drive architectural decisions around event driven systems, data pipelines, and cloud native infrastructure .
  • Collaborate closely with product managers, security researchers, and data teams to deliver impactful security capabilities.
  • Mentor engineers through technical guidance, architecture discussions, and code reviews .
  • Ensure high standards for performance, reliability, scalability, and observability .
  • Build and optimize systems leveraging technologies such as Kafka, Kubernetes, and GCP services .
  • Drive innovation by exploring and integrating AI-based capabilities for advanced data classification and security detection .
  • Maintain operational ownership of production systems, including monitoring, troubleshooting, and continuous improvements .

Qualifications

  • 5+ years of experience building backend systems and distributed architectures .
  • 3+ years of experience in a technical leadership or team lead role , managing and mentoring engineers.
  • Strong hands-on experience with Golang (or other backend languages with a willingness to work in Go)-an advantage
  • Experience designing and operating large scale cloud native systems .
  • Strong experience with Major cloud platforms – GCP is an advantage.
  • Hands-on experience with Kubernetes and containerized microservices architectures .
  • Experience building event driven systems and streaming pipelines using Kafka or similar technologies .
  • Strong understanding of system design, scalability, performance optimization, and reliability engineering .
  • Experience working with large scale data processing systems .
  • Experience working with and early adapting to new AI tools.
  • Background in cybersecurity, SaaS security, or data protection technologies - an advantage.
  • Background in SaaS applciation API usage and throttling – an advantage
  • Excellent leadership, communication, and problem solving skills.
  • Ability to thrive in fast moving environments with high ownership and autonomy .
  • Believe in learning new things every day.