Check Point is a global leader in cybersecurity, dedicated to protecting organizations from cyber threats. Our team is at the forefront of developing innovative cloud solutions, and we are looking for a Senior DevOps Engineer to join our Cloud Network Security group.

Key Responsibilities
As a 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.

Responsibilities:

Design, implement, and manage CI/CD pipelines to automate the deployment of SaaS
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.

Check Point Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of digital threats with a unified solution.

At Cyberint, we help organizations protect their digital presence by delivering cutting-edge Attack Surface Management (ASM) and Threat Intelligence (TI) solutions. As a member of our R&D organization, youll play a key role in ensuring the scalability, reliability, and performance of our cloud-native SaaS platform operating at scale.

Key Responsibilities
As a DevOps Engineer, you will be a core member of our DevOps & Infrastructure team, focused on building and maintaining distributed, scalable, and highly available systems in a dynamic SaaS environment. You will collaborate closely with development, QA, and support teams to enhance automation, improve CI/CD pipelines, and drive operational excellence across the board.

Key Responsibilities:

Design, build, and maintain infrastructure in a modern cloud-native SaaS ecosystem (primarily AWS).
Contribute to the scalability and reliability of distributed systems supporting high-volume data processing and real-time operations.
Develop and enhance CI/CD pipelines to support rapid and reliable deployments across multiple environments.
Implement and manage Infrastructure as Code (IaC) using Terraform for consistent, scalable infrastructure.
Operate and optimize Kubernetes (EKS) clusters to support distributed microservices architectures.
Monitor and respond to system alerts, troubleshoot issues, and contribute to incident prevention and response strategies.
Build self-service tools and automation frameworks to empower R&D teams and enhance delivery velocity.
Work cross-functionally with developers, QA, and support to ensure infrastructure meets evolving product needs.
Write and maintain scripts (Python, Bash) to automate recurring tasks and streamline operations.
Continuously identify and execute improvements in system performance, availability, and cost-efficiency.

Join our DeviantArt team as a Senior DevOps Engineer and play a pivotal role in maintaining and architecting a robust infrastructure that powers one of the largest online art communities. You'll be at the forefront of ensuring our platform's high availability, performance, and security, handling over 1.5 billion monthly page views.

The DeviantArt DevOps Team is a very small remote team that performs all tasks normally inclusive of SRE/DevOps/Infrastructure Engineers, with a bit of networking, security, and database administration mixed in. We are responsible for the day-to-day management and implementation of large-scale, mission-critical production systems that run on a public cloud.

This role requires wearing a lot of hats, and is equal parts fun and challenging. In this role, you will:

Architect and maintain a highly available infrastructure with a focus on proactive and reactive DDOS mitigation, autoscaling, self-healing, site performance, and cost optimization

Participate in a 24/7 on-call rotation, responding swiftly to outages or performance issues, and focus on less urgent alerts during normal work hours

Maintain and develop a developer environment and CI/CD pipelines in parity with production systems, for seamless testing and release of changes

Automate infrastructure provisioning and management using configuration management tools, complete with tests and documentation

Optimize and support sharded MySQL databases for efficient and reliable data handling amidst growing data reads and writes

Regularly update system components to avoid security issues and ensure up-to-date technology

We take our work seriously, but we dont take ourselves too seriously! We enjoy designing and building systems using open source tools and industry standards, and are in the fortunate position to be able to make decisions as a team about adopting newer technologies, and redesigning our infrastructure when appropriate.

This role is on a fully remote and distributed team, and asynchronous communication within and across teams is crucial. To be successful in this role, a candidate will need to work flexibly, balancing server and service issues, needs from development teams, security needs, and shifting priorities in our own tasks in managing our infrastructure

We are looking for a DevOps Engineer (Platform oriented). This role is perfect for a highly experienced and proactive DevOps Engineer with outstanding coding skills, who is passionate about building flawless products in a high-scale production.

This job is located in Tel Aviv (hybrid).

About Us

Check Point is a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.

Key Responsibilities
Designing & developing DevOps processes, methodologies, and tools.

Contribute to the design requirements of new products based on infrastructure as a code.

Work with cross-functional teams to develop high-scale production environment and enable solutions for our business.

Are you ready to kickstart your DevOps career and be part of the infrastructure powering the future of cybersecurity? Join Infinity NextCheck Points next-generation cloud-native platform that delivers a suite of cutting-edge products like WAF, SD-WAN, and more.

Were looking for a DevOps Engineer to join our dynamic and growing team. This is your chance to work alongside top engineers, gain hands-on experience with production environments, and help scale secure, high-performance services used by customers around the globe. Youll be part of a fast-paced, startup-like environment with the backing and stability of a global cybersecurity leader.

Key Responsibilities
Support the deployment and maintenance of scalable, multi-tenant environments across cloud platforms
Assist in automating infrastructure using Infrastructure-as-Code tools and CI/CD pipelines
Monitor and improve the reliability, performance, and security of our platform services
Collaborate with development, product, and operations teams to deliver new features and improvements
Troubleshoot infrastructure and application issues in development and production environments

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.

Role Summary:
We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS (Redshift, S3, Glue, Managed Airflow, Lambda) to integrate, process, and analyze large datasets, ensuring data reliability and efficiency.

Your work will directly impact business intelligence, analytics, and data-driven decision-making across the

What Youll Do:
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Data Modeling: Design and maintain logical and physical data models to support business needs.
Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads.
Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications.
Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs

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, maintian, and optimize the organization's data center infrastructure, including routers, swtiches, 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.

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.

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's servicesboth our internally critical and our externally-visible systemshave reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SREs will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, youll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Responsibilities
Improve the life-cycle of services from inception and design, through deployment, operation, and refinement.
Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health, and lead sustainable incident response.
Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will work with system teams and the Central Processing Unit (CPU) Architecture team to develop an understanding of the CPU, System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.