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Required Staff Machine Learning Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Provide technical leadership and mentor team members on best practices, code reviews, data-insights, analysis results and machine learning technical designs.
Own end-to-end projects involving multiple stakeholders, from architectural design and data pipeline configuration to production deployment and performance optimization.
Be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
You will report directly to the group manager.
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

we empower organizations to run in the cloud by aligning operations and security around access management.
Our platform provides companies with Just-In-Time and Just Enough access across their hybrid environments, reducing the access risk while improving productivity. has offices in New York and Tel Aviv and supports dozens of customers across the US and the world including large Fortune 500 companies, and was honored in Gartner's Magic Quadrant for Privileged Access Management.

What are we looking for?
We are seeking a skilled Professional Services Engineer, who will serve as a technical expert and trusted advisor for customers throughout the post-sale journey.As a Professional Services Engineer, you will own the technical execution of complex deployments, integrations, and custom solutions, partnering closely with Customer Success, Sales Engineering, and Product teams.

Responsibilities:
Lead and deliver end-to-end implementations of for enterprise customers.
Design and configure integrations with cloud platforms (AWS, Azure, GCP), identity providers (Okta, Entra ID), and infrastructure tools (Terraform, Kubernetes).
Ability to build solutions and understand technical problems
Translate business requirements into scalable technical solutions.
Serve as a technical liaison between the customer, support, and R&D teams.
Develop and document deployment plans, best practices, and reusable templates.
Troubleshoot complex issues and provide hands-on technical support during deployments.
Contribute to customer-facing enablement resources and knowledge base content.

we empower organizations to run in the cloud by aligning operations and security around access management.
Our platform provides companies with Just-In-Time and Just Enough access across their hybrid environments reducing the access risk while improving productivity. has offices in New York and Tel Aviv and supports dozens of customers across the US and the world including large Fortune 500 companies, and was honored in Gartner's Magic Quadrant for Privileged Access Management.

What are we looking for?
We are seeking an experienced, passionate, and innovative Global Talent Acquisition Partner to join our growing HR team at . You will play a key role in shaping and executing our global recruitment efforts, supporting the company's rapid growth across Israel and the US.

Responsibilities:
Leading end-to-end hiring efforts across various departments, both locally and globally.
Creatively sourcing top-tier candidates through multiple channels and maintaining a strong talent pipeline.
Conducting comprehensive HR interviews, including in-depth behavioral interviews.
Collaborating with stakeholders to identify hiring needs, strategize recruitment plans, and drive successful outcomes.
Ensuring an outstanding candidate experience from the initial contact through final decision.
Utilizing data-driven insights to identify meaningful patterns and inform recruitment and onboarding strategies.
Contributing actively to the continuous improvement of our talent acquisition and hiring processes.

Required Staff Machine Learning Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Engineer, youll play be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
How youll make an impact:
As a Staff Machine Learning Engineer, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Provide technical leadership and mentor team members on best practices, code reviews, data-insights, analysis results and machine learning technical designs.
Own end-to-end projects involving multiple stakeholders, from architectural design and data pipeline configuration to production deployment and performance optimization.
Be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
You will report directly to the group manager.
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Required Staff Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Site Reliability Engineer- Infra
Realize your potential by joining the leading performance-driven advertising company!
As a Site Reliability Engineer- infra, on our Infrastructure team at the TLV office, you will play a key role in ensuring the reliability, scalability, and performance of our critical systems. You will be responsible for managing and improving our core infrastructure, with a focus on automation, monitoring, and incident response. You will work with a wide range of technologies, including Kubernetes, monitoring and observability tools, configuration management systems, and core networking services.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure the reliability, availability, and performance of our infrastructure services.
Manage and maintain our Kubernetes infrastructure, including KubeVirt.
Design, implement, and maintain our monitoring and observability stack (SensuGo, VictoriaMetrics, Prometheus, ELK).
Automate infrastructure provisioning, configuration, and deployment processes using Puppet and Ansible.
Manage and maintain core services such as DNS and networking.
Troubleshoot and resolve complex infrastructure issues in a timely and efficient manner.
Participate in on-call rotations and incident response.
Develop and maintain infrastructure-as-code (IaC).
Identify and implement proactive measures to prevent incidents and improve system reliability.
Collaborate with development teams to ensure smooth and reliable deployments.
Contribute to the design and implementation of new infrastructure solutions.
Drive improvements in system architecture, processes, and tools.
Mentor and coach other team members.

Required Site Reliability Engineer
Realize your potential by joining the leading performance-driven advertising company!
As Site Reliability Engineer on the IT Production team in our TLV Office, youll play a vital role in building robust services and solving infrastructure challenges with automations while working with cutting-edge technologies and bringing those to their limits on our mostly on-prem cloud like infrastructure.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure Reliability & Scalability: Design, implement and manage highly reliable and scalable distributed systems across our on-premise, cloud and AI/ML environments. Proactively optimize performance, efficiency, resource utilization and cloud cost.
Drive Automation: Automate repetitive tasks, infrastructure provisioning, configuration and deployments using IaC and scripting languages (e.g., Python, Go, Rust).
Develop Observability & Capacity: Implement comprehensive monitoring and alerting systems to ensure system health. Collaborate on capacity planning to meet future growth.
Maintain Security & Compliance: Integrate security best practices and ensure compliance with industry standards.
Lead Incident Management: Participate in on-call rotations, lead incident responses and conduct root cause analysis to minimize downtime.
Foster Collaboration & Improvement: Work closely with development, operations and security teams to drive shared responsibility and continuous improvement in SRE practices.
Our Tech Stack:
Linux, Kubernetes, nginx, Istio, AWS, GCP, Azure, Alicloud, Fastly, Terraform, Consul, Prometheus, Loki, Grafana, Airflow, Redis, Kafka, Vector, Hadoop, Cassandra, Vertica, MySQL, HDFS, ELK.

Hosting team as a Senior Full Stack Developer and play a key role in building fast, scalable, and reliable hosting platform.
This team is at the heart of our infrastructure, working on a modern, distributed system built on Kubernetes and microservices. We own everything from provisioning and site lifecycle to networking, performance, and scaling, and were constantly pushing the boundaries of what our platform can do.

In this role, youll design and implement robust backend services and user-facing features from the ground up. Youll collaborate across teams, embrace modern technologies, and solve complex technical challenges that have real impact.

If youre passionate about simplifying complexity, care about quality and performance, and thrive in a collaborative environment, this is your chance to help redefine what great hosting looks like.
Let's build the future together!

What do we do?
the leading website building platform for WordPress professionals.
Our vision is to empower web creators developers, designers, and marketers with the ability to create their futures, one pixel at a time. We provide our users with everything they need to become successful web creators.

A new website is created every 10 seconds using
Since we launched in Israel in 2016, we have expanded to over 180 countries, with 18M+ websites powered by . More than 12% of all websites

How do we do it?
we're building the future of web creation.
Were all about empowering people, both our employees and our users.
a place where you can truly grow.
We encourage professional development and personal growth.

Creativity, friendship, curiosity, motivation, and professionalism are the driving force behind our journey.
constant scaling is an important aspect we take great pride in.

Responsibilities
Design and develop microservices from scratch using cutting-edge technologies, handle with scale over distributed systems
Solve complex infrastructure challenges around performance, observability, reliability, and scale.
Collaborate closely with the product team to achieve shared objectives and key results
Ensure the code quality, performance, monitoring, and scalability of our products
Research and embed new technologies and best practices in the development team
Work as part of a dynamic team whose members are passionate about technology and making a true impact
Take part in maintaining service reliability, including participating in On-Call rotations.

Required Senior Software Engineer, Infrastructure
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Software Engineer on the Infrastructure Engineering R&D group, youll play a vital role in developing one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day.
How youll make an impact:
As a Senior Software Engineer, youll bring value by:
Develop one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day
Have end to end ownership: Design, develop, deploy, measure and maintain our services
Solve production issues in the framework code
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Here are some of the things software devs in our group did in the last several months:
Rewrote part of our recommendation servers to reduce serving time p999 by >40%
Rolled out custom Cassandra compaction strategy
Created and improved our Kafka consumer designed for very high scale
Developed a brand new metrics pipeline, ingesting over 100B metric messages per day
Anomaly detection engine for application metrics
Rolled out a new custom home-built authentication service
Many more things
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis.

Required Senior Release Engineer Infrastructure
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Release Engineer on the Infrastructure group, youll play a vital role in solving scaling challenges in our build system, handling 8 million lines of code and 160,000 unit tests efficiently.
How youll make an impact:
As a Senior Release Engineer, youll bring value by:
Solve scaling challenges in our build system, handling 8 million lines of code and 160,000 unit tests efficiently.
Drive best practices for DevOps, site reliability, and infrastructure scalability.
Build and support a self-service toolset to empower developers and streamline release processes.
Design, implement, and maintain CI/CD pipelines to ensure smooth, automated, and reliable software releases.
Develop scalable infrastructure as code (IaC) solutions to improve deployment efficiency and system reliability.
Enhance observability, monitoring, and logging to proactively detect and resolve performance issues.
Work closely with development to optimize release workflows and reduce downtime.
Manage and improve containerization strategies using Kubernetes, Docker, and related technologies.
Leverage Gen-AI tools to accelerate development velocity across all RnD.
Own the management of third-party libraries in our central Java code repository, ensuring seamless Spring and Java upgrades
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis.

Required Senior MLOps Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.