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As a Senior DevOps Engineer at Check Point, you will design, implement, and manage CI/CD pipelines, collaborate with cross-functional teams, and ensure the high availability and reliability of our cloud-based services and solutions.

Key Responsibilities
Design, implement, and manage CI/CD pipelines to automate the deployment of SaaS solutions.
Collaborate with development, QA, and operations teams to ensure smooth and reliable software releases.
Monitor system performance and troubleshoot issues to ensure high availability and reliability of our services.
Implement and manage infrastructure as code (IaC) using tools like Terraform, CloudFormation and ARM.
Optimize system performance, scalability, and security.
Develop and maintain documentation for infrastructure and deployment processes.

What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

We are seeking an Experienced Senior DevOps Engineer to join our high-performing SaaS Security team.

Born from a successful cybersecurity startup acquisition, we operate as a dynamic team within a larger organization, driven by innovation and a passion for building cutting-edge security solutions.

As our lead DevOps engineer, you will build and maintain our large-scale, automated, SaaS infrastructure.

Our technology stack includes GCP, K8s, Prometheus, Terraform, PostgreSQL, Kafka, Temporal and Hasura. Youll work collaboratively with software engineering teams and tech leads, help automate and streamline our operations and processes and troubleshoot issues in our development, test and production environments.

Key Responsibilities
Design and develop our SaaS infrastructure, CI/CD pipelines, permissions model and deployment strategy.
Improve overall security posture, manage permissions and improve work processes.
Assist in introducing new technologies into group infrastructure.
Be a focal point for the stability of our infrastructure.

As part of the GenAI Protect group at Check Point, youll join a pioneering team building cutting-edge security solutions for the new world of AI-driven workflows, and protect organizations from risks introduced by generative AI tools across browsers, desktops, and managed control points.

Youll play a critical role in designing and scaling the cloud infrastructure that powers GenAI Protect, ensuring reliability, performance, and secure operations at scale.
This position is ideal for an experienced DevOps engineer who thrives in fast-paced, innovation-driven environments and wants to shape Check Points next-generation security platform.

Key Responsibilities
Design, implement, and maintain CI/CD pipelines across multiple teams.
Architect secure, scalable infrastructure on AWS (EKS, ECS, EC2, RDS, CloudFront, IAM).
Automate provisioning using Terraform, CloudFormation, and GitOps.
Implement observability, logging, and alerting best practices (Prometheus, CloudWatch, ELK).
Drive reliability, scalability, and cost efficiency across environments.
Mentor engineers and establish DevOps culture and practices.

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're in search of an Senior Platform/Infrastructure Engineer to join our team. You'll play a key role in deploying, maintaining, enhancing, and scaling up our high-scale, mission-critical data center production environment, which is essential to our SASE solution. Your responsibilities will include investigating complex production issues across network, OS, Virtualization, Cloud interconnectivity, and hardware components. You'll also focus on improving system resiliency and monitoring tools, as well as automating methods and procedures to streamline operations and boost stability. If you're a skilled Network/DevOps/Data Center/System engineer with experience in large-scale infrastructure environments, and you're looking to advance your career by joining one of the industry leaders in the evolving cybersecurity field, we'd love to have you on our team.

This job is located in Tel Aviv (hybrid).

Key Responsibilities
Plan, deploy, maintain, and optimize the organization's data center infrastructure, including routers, switches, firewall, servers and SAN/NAS units.
Create and maintain Infrastructure as Code (IaC) that deploys, scales, configures, and updates Data Center equipment, encompassing servers, storage, switches, and firewalls.
Monitor network and system performance, detect bottlenecks or connectivity issues, and implement necessary solutions.
Debug issues both in production and in labs. Create, test and validate solutions.
Foster collaboration with cross-functional teams to guarantee network security, uphold data integrity, and adhere to industry best practices and regulatory standards.
Participate in On-Call.

As a Product Owner / Developer, you will play a dual role defining business and product requirements while contributing directly to the technical delivery. Youll partner with collaborators across engineering, data, and business teams to translate goals into actionable roadmaps and measurable results.

Key Responsibilities:

Gather and define requirements aligned with strategic business goals and customer value.
Help the team leaders maintain and prioritize the product backlog, ensuring clarity, transparency, and focus on impact.
Collaborate with engineering teams to design and build scalable data and automation solutions (50%+ of the time)
Contribute to development, testing, and deployment of modern data pipelines using Apache Airflow, Apache Spark, and AWS cloud services (ECS, Lambda, Glue, S3).
Balance short-term delivery objectives with long-term technical vision.
Track and communicate key performance metrics that demonstrate business outcomes.
Who You Are

You are both a strategic problem solver and a technical contributor who thrives in complex, data-driven environments. You bring a strong business approach and a passion for translating strategy into working systems that scale.

You excel at:

Collaborating across teams and simplifying complex needs into executable plans.
Combining a product-centric focus with hands-on technical ownership.
Working iteratively and pragmatically toward measurable business outcomes.

Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. You'll have the chance to build cutting-edge models and AI systems for cybersecurity. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of Generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!

Develop and train cutting-edge AI models for the security domain.

Develop a platform for AI data processing, training, fine tuning, evaluation and other AI related needs.

Develop agentic systems that automate and uplift security operations.

Author blog posts, white papers and research papers related to developments in AI for the security landscape.

Collaborate with cross-functional teams of researchers and engineers to translate research ideas into products.

Contribute to our groups culture as an early member of the team.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.



Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.