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Why this role matters At PassportCard, were not just modernizing systems, were building the Future Ready platform that will power the next generation of insurance and financial services. This means moving from legacy to a cloud-native, AI-ready ecosystem built on.NET Core microservices: scalable, secure, and designed for innovation. In this role, you wont just deliver codeyoull guide a team, influence architecture decisions, and ensure alignment with business goals in partnership with the Solution Manager and Product Manager. In this role, you wont just deliver code, youll lead a team, shape architecture, and influence how global customers experience our products. Help transform how insurance and financial services are delivered. At PassportCard, were modernizing mission-critical, legacy systems into a cloud-ready,.NET-based microservices ecosystemsecure, reliable, and built for scale. Your work will directly impact customers worldwide and the teams who serve them.
What youll do Design and ship scalable.NET ( C #) services and applications aligned with our architecture standards. Model domains and build resilient microservices using DDD and modern patterns. Own quality end-to-end: write clean, testable code; add unit/integration tests; debug tricky production issues. Partner across disciplinesSolution Architecture, QA, DevOps, and Productto deliver on time and with impact. Raise the bar for engineering excellence: contribute to coding standards, CI/CD, and CoE best practices. Lead and mentor the Future Ready.NET Core team, ensuring task alignment and priorities within Scrum ceremonies. Collaborate closely with Solution Manager and Product Manager to refine backlog, clarify requirements, and drive sprint success. Build cloud-native, event-driven, and AI-enabled services. Integrate BPM flows and rules engines into enterprise solutions. Leverage AI-powered tools for productivity, code quality, and problem-solving.
The toolkit youll use Languages & Frameworks:.NET ( C #), EF Core data : SQL server, PostgreSQL, Redis Platform & Delivery: Azure DevOps, Kubernetes, Docker, CI/CD pipelines Reliability & Security: Serilog, HTTPS enforcement, authentication/authorization best practices Ways of working: Agile/Scrum, cross-functional collaboration

Realize your potential by joining the leading performance-driven advertising company!
We are looking for a Senior Data Analyst to join our companys Professional Services group. As a data-driven organization, we strive for absolute transparency around our deliverables, empowering relevant teams to make informed decisions and become more productive and efficient.
How youll make an impact:
Analyze, discover, monitor and provide insights on major revenue impact issues to ensure our company Network performance and high quality.
Create, support and maintain development tools aiming to monitor and investigate our company performance, as well as find creative solutions for a variety of challenges, while facing our growing data requirements
Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis, while using new approaches of data analytics
Analyze business data, discover root causes for data anomalies and generate actionable recommendations
Closely work with multi-disciplinary teams and stakeholders to provide insights and answer business questions.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior GenAI Machine Learning Engineer / Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.
How youll make an impact:
As a Senior GenAI 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: LLMs, 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 DeeperDive, LLM Personalization, Feed Personalization, Personalized Image and text generation and much more.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior iOS Engineer in the Supply group at our Tel-Aviv office, youll play a vital role in developing an SDK that is implemented on over 2,000 applications and used by hundreds of millions of users every day
How youll make an impact:
As an iOS Engineer, youll bring value by
Facilitate our companys content through Mobile platforms.
Build core services for the companys mobile needs.
Scale with millions of users.
Take part in and develop highly scalable, highly performant solutions, which serve billions of recommendations per day.
Work closely with Product to connect the technical and the business sides.
Influence directly on the way billions of people discover the internet.
Work on projects such as: Editorial Level Personalization, 3rd Party Demand, Content Feed, Video Recommendations, Breaking news notifications and much more.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior Machine Learning Engineer, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior 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.

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.

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 companys Kafka consumer designed for very high scale
Developed a brand new company metrics pipeline, ingesting over 100B metric messages per day
Anomaly detection engine for application metrics
Rolled out a new custom home-built our company authentication service
Many more things.

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.

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.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
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.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff 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 Staff 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.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff Software Engineer in the Ad Creatives group in our Ramat Gan Office, youll be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily, playing a vital role in developing one of the largest real time big data operations in the world to support over 140TB of new data every day.

As a Senior Backend Engineer, you will be a key contributor in designing, implementing, and optimizing our Backend Engine and application infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure enabling us to stay at the forefront of our industry. You will get a chance to work on a variety of technologies, in a dynamic and fast paced environment.

Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy robust and scalable features for our cutting-edge data analytics platform.
Architect, implement, and optimize backend solutions using Python to ensure seamless data processing, storage, and retrieval.
Collaborate closely with product managers, data scientists, tech-leads to understand requirements, provide technical insights, and deliver high-quality solutions.
Continuously enhance the performance, scalability, and security of the platform and backend services through code reviews, testing, and optimization.
Stay up-to-date with industry trends and emerging technologies; proactively recommending and implementing improvements to enhance the platforms capabilities.

As a Senior DevOps Engineer, you will be a key contributor in designing, implementing, and optimizing our cloud-native DevOps infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure, enabling us to stay at the forefront of our industry.

Responsibilities
Cloud-Native Strategy: Develop and implement a cloud-native strategy, leveraging AWS, serverless, and other cloud-native technologies, to enhance application resilience and scalability.
Container Orchestration: Lead efforts to manage container orchestration platforms (e.g., Docker) and establish best practices for containerization and microservices.
CI/CD Pipeline Optimization: Enhance and automate our CI/CD pipelines to enable rapid and reliable software delivery, incorporating industry best practices and tools.
Infrastructure as Code (IAC): Drive the adoption of IAC principles and tools (e.g., Terraform, Ansible) to manage infrastructure provisioning, monitoring, and security.
Collaboration: Collaborate closely with software engineers to solve complex problems and drive continuous improvement.

Lead GPU Kernel Developer (remote)About us our mission is to make AI revolutionarily faster and more energy-efficient. We are seeking passionate, highly skilled GPU experts to join our team.As an early-stage startup, we offer a unique opportunity to join us at a pivotal moment, working on the world's most challenging problems alongside a sharp and demanding team. About the positionYou will develop novel algorithms with low-level kernels. You will collaborate closely with our algorithmic researchers to outperform existing SOTA kernels.Main responsibilities:1. Implement novel algorithms on GPUs, pushing hardware limitations to the edge.2. Proactively develop and implement novel speedup and automation methods.3. Build and operate low-level profiling setups.4. Stay up to date with hardware trends and new capabilities.5. Communicate and collaborate with team members.If youre as excited as we are about accelerating the future of AI.