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We're looking for a Technical Operations Team Lead to join our platform group and drive execution across technical operations, infrastructure, and delivery processes. This role blends leadership, technical depth, and cross-functional collaboration and is perfect for someone who thrives in fast-paced, high-impact environments.

Youll lead a hybrid team (on-site and offshore), work with global stakeholders, and partner with our Program Managers to track delivery in Jira and bring structure to rapidly evolving workflows. This is a key role in helping us scale and operate more efficiently as we build the future of secure cloud connectivity.

Key Responsibilities
Lead and mentor a cross-functional team (including offshore members)
Own execution planning, delivery tracking, and team velocity
Collaborate with Program Managers to define, track, and report work in Jira
Implement and optimize working procedures for technical teams
Manage Cloud IT systems and user lifecycle (e.g., Okta/Azure, Our SaaS access).
Oversee 3rd party service providers, procurement, and budgeting.
Design and implement automation (Python preferred), including AI-driven workflows.
Support R&D and QA teams with cloud infra, and internal developer's tools and Dev Environments.
Partner with Customer Success, Sales Engineering, and Field Ops.
Ensure compliance with internal security policies by working closely with the CISO and applying SecOps requirements across Cloud IT systems and operations.

We are in a period of hyper-growth - both in terms of customer adoption and engineering scale. This brings exciting challenges in performance, scalability, cost-efficiency, and reliability. Youll play a key role in shaping how our data infrastructure supports this scale and future-proofs our platform.

Key Responsibilities
Own and operate production and pre-production databases, including:
MongoDB (Atlas)
Redis (AWS ElastiCache Valkey)
RabbitMQ (EC2-based cluster)
Additional databases as our platform evolves
Work closely with developers to optimize data models, indexes, and queries across the SDLC (design, QA, staging, production).
Partner with SREs to ensure high availability (99.99% uptime), disaster recovery, monitoring, and performance tuning.
Plan and execute schema changes, index strategies, and database version upgrades with zero or minimal downtime.
Set up and enforce backup, restore, and retention policies aligned with compliance and availability needs.

We are looking for a strong, hands-on Security Researcher with knowledge in Data Science to join a cutting-edge AI and cyber security initiative at Check Point.
In this role, youll be part of a growing data science team working on advanced prevention technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.
This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation security solution.

Key Responsibilities
Research and develop innovative AI-powered capabilities for cyber threat prevention.
Perform hands-on malware analysis in Windows environments, focusing on files and related threats.
Rapidly prototype and iterate based on data insights and user feedback.
Design and build data-driven solutions with a strong emphasis on practical impact and performance.
Collaborate closely with cyber researchers, analysts, and engineers to deliver production-grade machine learning models.
Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges.