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Check Point is seeking a promising and talented DevOps Cloud Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!

Key Responsibilities
Act as a DevOps Engineer within a highly skilled team, responsible for large-scale operations from development to production.
Design, develop, and maintain Avanans CI/CD solutions, including operating systems, containers, cloud orchestration, and full end-to-end automation.
Implement tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
Participate in the large-scale migration of a highly complex system into a secured, regulation-compliant environment.
Continuously improve our cloud infrastructure to ensure fault tolerance, scalability, and security.
Plan capacity, stabilize, and enhance the performance of application infrastructure with cost efficiency and scaling in mind.
Design and shape our monitoring and logging solutions.
Execute all tasks with top-notch cloud infrastructure security as a guiding principle.

We are seeking a results-driven DevOps Team Lead to head the DevOps and Infrastructure team within our R&D organization. This role requires strategic vision, technical expertise, and a proactive approach to drive operational excellence, empower teams with robust tools and automation, and ensure high system reliability and scalability.

As the DevOps Team Lead, you will be instrumental in delivering critical KPIs, including system uptime, automation, incident management, and collaboration with development and QA teams to enable self-sufficiency. Additionally, you will serve as the leader for strategic projects, identifying opportunities to improve infrastructure and operational processes, setting long-term goals, and executing initiatives that align with Cyberints business objectives and growth.

Key Responsibilities
Strategic Leadership

Identify and lead strategic projects to enhance Cyberints platform scalability, reliability, and operational efficiency.
Develop and execute a roadmap for critical infrastructure and DevOps initiatives that drive business success.
Collaborate with senior stakeholders to align projects with organizational priorities and deliver measurable outcomes.
System Reliability & Uptime

Lead initiatives to ensure system reliability, minimize disruptions, and maintain high availability for Cyberints SaaS platform.
Establish and manage proactive monitoring, alerting, and preventive maintenance strategies.
Drive incident prevention efforts, ensuring robust failover and disaster recovery mechanisms.
Develop and maintain playbooks to enable rapid diagnosis and resolution of issues.
Automation, Infrastructure as Code (IaC), & Self-Service Enablement

Champion the adoption of automation and IaC to streamline infrastructure management and deployments.
Build and enhance self-service tools and frameworks, empowering R&D teams to operate independently with minimal reliance on DevOps.
Continuously improve CI/CD pipelines to optimize deployment speed and reliability.

Check Point Threat Prevention group is looking for an excellent technical product manager to join the product team and take part in developing the industry's next generation of Cybersecurity technology and products. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build, and roll out products that deliver the companys vision and strategy.

Key Responsibilities
In this role, you will be taking part in leading a product in a critical area. Using data and customer feedback, you will develop an understanding of customer needs and will use this to define and drive new features.

The right person has high levels of customer obsession, a strong demonstrated ability to build repeatable and scalable processes and is an independent operator skilled in working cross-teams to deliver on behalf of customers.


As part of this role, you will:

Be the customer advocate, be familiar with customer business and echo system
Review customer requirements and deliver functional requirements and technical solutions by defining and refining user stories for the R&D team. Work closely with PM, R&D leaders, and Product UX
Participate in design reviews and usability tests

The Content Safety Team, which is responsible for ensuring a safe environment for Intuit customers, is seeking a Senior AI Scientist. The team develops content moderation solutions for user-generated and AI-generated content across all Intuit products and utilizes advanced GenAI tools to build capabilities such as automatic labeling.

We encourage you to apply if you

Are passionate about using advanced ML techniques and evolving technology to create a safe environment for customers
Love working as part of a team of experienced AI scientists that love research and innovation just as much as they love getting models to production and making an impact
Are interested in partnering with analysts and researchers to implement your ideas into mitigation policies that keep the bad actors away
Take pride in having end to end ownership of your models - from conception, throughout research and development to production and monitoring
Responsibilities

Develop and refine content moderation models to filter and tackle abusive content across various products, content types and modalities.
Work extensively with NLP algorithms, focusing on fine-tuning transformers and large language models (LLMs) to enhance accuracy and efficiency.
Explore and integrate advanced technologies such as Retriever-Augmented Generation (RAG) and Agentic AI to assist in the automatic labeling and classification of data.
Collaborate with a multi-disciplinary team including machine learning engineers, AI scientists, and policy experts to ensure models align with ethical standards and company policies.
Stay updated with the latest research in AI and machine learning to incorporate cutting-edge techniques into content moderation strategies.
Prepare and maintain documentation on model development, configurations, and performance metrics for both technical and non-technical audiences.
Mentor and guide junior AI scientists, fostering a collaborative and productive team environment.