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We are a team of engineers focusing on making the Performance Campaigns for our customers efficient, easy to use, and powerful. Our mission is to:
Enhance operational efficiency for our customers and our internal operations team using Teads Ad Manager for Performance (mid & low funnel) campaigns
Ensuring the scale and the robustness of the Teads Performance pipeline to handle attribution from publisher to advertiser websites/apps
Build innovative solutions to help our customers achieve new goals and/or better KPIs (CTV Performance, Dynamic Product Ads, DCO, etc.)
Develop robust and safe code that is directly embedded in the advertiser's website, plus the additional tooling to help this integration
Enhance our capacity by building new features or bridging features within our new global Teads platform.

Build the Core Platforms That serves hundreds Engineers
Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.
We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.
We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.
What will you do?
As a Senior DevOps Engineer, you will:
Own Core Data Platforms: Design, manage, and scale our diverse portfolio of datastores, including Cassandra, RDS/Aurora, Redis, Elasticsearch, and more.
Evolve Observability: Champion and advance our observability stack (Prometheus/Thanos, Grafana & ELK) to provide critical, real-time insights for hundreds of services.
Strengthen Reliability (SRE): Drive SRE best practices, including automating disaster recovery drills, managing our alerting strategy (AlertC), and improving system-wide resilience.
Modernize CI/CD: Help administer and optimize our CI/CD infrastructure, which includes Jenkins, Teamcity, and GitHub Actions.
Automate Everything: Leverage our Kubernetes and GitOps (ArgoCD/Flux) foundation to manage infrastructure as code, enhance developer self-service, and eliminate toil.
Collaborate & Consult: Act as a subject matter expert, partnering with development teams to help them choose, implement, and operate their data and observability solutions effectively.

The ideal candidate will bridge high-level security governance with hands-on, automated security implementation across the Software Development Life Cycle (SDLC).
This individual will be a critical enabler, empowering teams to move swiftly and deliver exceptional value to our clients, all while upholding the required security standards. A proven track record in successfully balancing rapid innovation with robust security practices is essential for this role.
How youll make an impact:
As the DevSecOps Engineer, you will be responsible for creating a secure-by-design culture and leading the operational implementation of our security strategy. You will:
Build the Secure SDLC (SSDLC) Strategy: Develop, own, and execute the companys comprehensive DevSecOps strategy, focusing on automation to manage security at scale from code check-in to production deployment.
Lead Key Security Engineering Initiatives: Lead and manage security engineering programs, including:
Maturing the security tools stack (e.g., implementing WAF, and automating SCA/SAST tools).
Owning the bug bounty and responsible disclosure programs triage and remediation tracking.
Enhancing the Identity and Access Management (IAM) framework through concepts like Just-In-Time (JIT) and Zero Trust principles.
Operationalize CVE Tracking and Remediation: Design and implement a scalable system for discovering, tracking, and prioritizing Common Vulnerabilities and Exposures (CVEs) in third-party and custom code. Drive the engineering teams to achieve security risk remediation goals by providing clear, actionable data and automated patching mechanisms.
Measure & Drive Improvement: Develop and maintain key DevSecOps metrics (e.g., Mean Time To Detect/Remediate - MTTD/MTTR, percentage of code coverage by SAST/SCA tools) to measure the effectiveness of automated controls and provide a data-driven picture of the application security posture.
Embed Security Engineering: Spearhead R&D DevSecOps initiatives, partnering directly with engineering teams to select, deploy, and maintain security tools, establishing security gates and best practices throughout the product development lifecycle.

As an Experienced Backend Engineer in Demand in our Tel-Aviv Office, youll play a vital role in developing one of the largest real-time big data operations in the world to support over 40TB of new data every day.
How youll make an impact:
As an Experienced Backend Engineer, youll bring value by:
Design and develop systems that help our company advertisers manage budgets and optimize performance toward their business goals.
Build scalable, reliable solutions to process and analyze massive data sets and generate actionable insights.
Work on a large-scale, high-throughput recommendation system that impacts how billions of people discover the internet.
Leverage one of the worlds largest real-time big data operations, processing over 140TB of new data daily.
Take full ownership: design, build, launch, measure, and maintain products that help advertisers achieve their goals effectively and at scale.
Collaborate with talented engineers, data scientists, and product managers to create innovative, high-impact solutions.

As an Experienced Full-Stack Engineer (Backend Oriented) in the Demand department in our Tel Aviv Office, youll play a vital role in our companys management platform, focusing on the onboarding experience to make a meaningful impact on the companys performance, while enabling advertisers to create and manage their ads with a strong emphasis on optimal user experience and performance.
How youll make an impact:
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of requests per second
Work on innovative projects that are the next growth engines for our company.

As Mobile Enablement Manager in the Professional Services group, youll work closely with our Engineering and Product teams, act as a knowledge hub and actively deliver exceptional new products to our global Professional Services group and customers.
The Mobile Enablement Manager is responsible for enabling our Professional Services teams to successfully adopt and leverage our company products to drive business impact. This role requires a deep understanding of the technical aspects of each product, coupled with the ability to communicate and translate that knowledge effectively to diverse technical audiences.
How youll make an impact:
Own your technical domain by putting any effort required to make it successful
Work closely with our companys Engineering and Product teams on enabling new features/products for scale
Be the voice of Professional Services - Playing a pivotal role in the product lifecycle and its roadmap
Lead the enablement of new products - From Beta, to Limited Availability (LA) through to General Availability (GA)
Serve as the primary technical point of contact during early product rollout and stabilization. Take end-to-end ownership of new products and features.
Enforcing best practices across product operations to ensure consistency, efficiency, and scalability
Deliver, create and maintain in-depth product documentation and training for Professional Services and business teams
Owning and handling highly complex technical escalations coming from Professional Services and consulting on complex implementations/issues coming from clients (may require dev-to-dev calls with clients Engineering teams)
Monitoring product health and performance to identify issues early and analyzing the quality of service (delivery/support) provided to our customers
Managing bugs and feature gaps proactively to improve product health and user trust
Improving Professional Services efficiency through AI developments that streamline decision-making, automate repetitive tasks, and enhance operational visibility.

Our awesome data team is looking for a passionate Data Analyst to explore and extract insights from millions of connected vehicles on the road. In this role, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.
We are a fast-growing company and is looking for determined and devoted individuals. This is a chance to witness the connected vehicles revolution from a different angle. You will play a major role in the companys engagements, research large complex datasets, and use cutting-edge tools and methodology.
This role is full-time and is Israel based.
Responsibilities
Leading the data onboarding process of new customers.
Explore raw data of various customers as preparation for parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
Use big data tools to analyze large scale real-time data of connected vehicles and identify anomalies and emerging threats to create meaningful detectors that bring value to our customers.
Representing the data function both internally and externally, including customer-facing interactions.
Automate internal processes using scripting languages.

As a Senior Backend Engineer in the Audience Extension team in our Tel-Aviv Office, youll be instrumental in building and optimizing our core infrastructure for managing RTB requests at scale, one of the biggest revenue driven operations in the company.
How youll make an impact:
As an Experienced Backend Engineer, youll bring value by:
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of thousands of requests per second
Work on innovative projects that are the next growth engines for our company
Here are some of the things software developers in our group did in the last several months:
A unique data pipeline for managing RTB requests at scale
An algorithmic model to predict if a given Real-Time impression is valuable to our company
A smart gateway that ingests hundreds of thousands of requests per second for a single instance
An A/B tests system to explore variations and experiments
And many more.

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.

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.
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.

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.

As a Senior Software Engineer in the Advertiser Solutions Core group in our Tel Aviv Office, youll be a technical leader and key contributor to our product and engineering roadmaps. You will influence critical decisions that affect millions of users daily, setting the technical direction for one of the largest real-time big data operations in the world, supporting over 140TB of new data every day.
How youll make an impact:
Acting as a key technical leader for the group, guiding the architecture and design of complex, business-critical systems that empower our companys advertisers to manage their budgets and optimize performance.
Driving development by being hands-on, personally writing code for the most complex and critical system components and setting a high bar for code quality and best practices.
Driving the technical strategy for building highly scalable and reliable solutions to process and analyze vast amounts of data, enabling actionable insights for advertisers.
Leading and mentoring engineers working on a large-scale, high-throughput recommendations system, influencing the way billions of people discover the internet.
Making high-stakes architectural decisions for one of the largest real-time big data operations in the world, responsible for over 140TB of new data every day.
Fostering a culture of technical excellence and end-to-end ownership; setting standards for how we design, build, ship, measure, and maintain our products at scale.
Serving as a key technical partner to product managers and other engineering leaders, translating complex business goals into a tangible, multi-quarter technical roadmap.

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.

As Site Reliability Engineer on the IT Production team in our Tel Aviv 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.
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.

Required Senior Machine Learning Engineer I - GenAI Applications
20031
Leadership/Team Quote:
This opening is for the GenAI Infra team in the Marketplace AI department.
The GenAI Infra team builds the Agents platform which is used for all agnetic and non-agentic flows. This team is responsible for both the GenAI agents and the orchestration around them, helping support applications such as the AI Trip Planner, Free text search, etc.
Role Description:
As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.