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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.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Join us at Intuits IDX PS-Engineering group as a Development Manager, where youll have the exciting opportunity to lead the development of critical tools that power the Professional Services (PS) organization. In this role, youll guide a team of talented, highly motivated engineers to build innovative solutions that support all of Intuits offerings. Youll oversee the design, development, and maintenance of PS tools, AI-driven automation services, and enhanced capabilities for the PS Salesforce ticketing system, all with an AI-First mindset. This is a high-impact leadership role within a growing team, where your contributions will directly drive operational excellence and scalable innovation across the company.

Responsibilities
Build a high-performing team by putting the right people in the right roles at the right time Lead PS tools development efforts, including setting priorities, providing time estimates, managing releases, and ensuring execution Guide, coach, and mentor software engineers including hands-on involvement, technical guidance, design and code reviews Evaluate employee performance, set expectations and goals, recruit, train, and support career growth for team members Drive innovation by initiating and embracing new ideas that deliver measurable impact for our customers Define and promote engineering standards, development processes, and best practices to ensure delivery of scalable, high-quality software Partner closely with IDX Platform teams to optimize integration, streamline development processes, and enhance user experience Collaborate cross-functionally with Program Management, Business Analysts, Product Managers, and other Engineering leaders