R&D Group Leader at Cellebrite

Petah Tikva, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Group Leadership, Data Platform Architecture, Scalability, Reliability, Security, AWS, Kubernetes, EKS, Data Lake, Lakehouse, Iceberg, Event-Driven Pipelines, ETL/ELT, Backend Services, APIs, Python

Industry

Public Safety

Description

About Cellebrite: Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite. About the Role: We are seeking an experienced R&D Platform Group Lead to own and lead the Data domain alongside core backend platform services, built and operated on AWS. This is a senior technical-managerial role responsible for multiple R&D teams, defining technical direction and ensuring operational excellence for shared platform capabilities used across Cellebrite products. The role requires strong cloud-native architecture experience on AWS, deep backend and data engineering expertise, and proven people leadership at scale. Key Responsibilities: Group & People Leadership Own and evolve the data platform architecture, ensuring scalability, reliability, security, and long-term maintainability Lead the strategic evolution of the data platform, balancing scalability, reliability, security, and cost Drive adoption of modern data patterns such as lakehouse (Iceberg), event-driven pipelines, and schema-aware data processing Drive cloud-native architecture using AWS services and Kubernetes (EKS) Drive design, model, and evolve the Data Lake architecture Drive design, build, and optimize high-scale ETL/ELT pipelines Lead the design and development of backend services and APIs for SaaS applications Partner with security and governance stakeholders to support regulated and sensitive data workloads Lead design reviews and architecture discussions Collaborate closely with data scientists, ML engineers, backend teams, and product managers to deliver end-to-end data solutions Requirements Over 8 years of leadership experience as a Group Leader (second-line manager) leading SaaS teams in data and backend domains Proven experience designing and operating large-scale, cloud-native data platforms on AWS (mandatory) Deep understanding of designing, building, and operating backend services on AWS Strong understanding of AWS data ecosystem and Data Lake/Lakehouse architectures Python & TypeScript as a primary language Strategic thinker with the ability to translate long-term vision into actionable roadmaps Strong sense of end-to-end ownership, from design to production operations Passion for automation, simplicity, and scalable design Excellent communicator who can translate complex technical decisions to diverse stakeholders. Personal Characteristics null

Responsibilities

This senior technical-managerial role involves owning and leading the Data domain alongside core backend platform services built on AWS, requiring the evolution of the data platform architecture for scalability, reliability, and security. Key duties include driving the adoption of modern data patterns like lakehouse and event-driven pipelines, leading design reviews, and developing backend services and APIs for SaaS applications.