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We are looking for a Platform Engineering Manager to join the Data Security team. In this role, you will lead the Platform Engineering team, whose mission is to empower engineering teams by delivering reliable, scalable environments, services, and tools that enable efficient development, seamless delivery, and high productivity.
Key Responsibilities:
Lead, mentor, and grow the Platform Engineering team .
Own the CI/CD ecosystem (e.g., GitLab CI, Jenkins, etc) while driving adoption of best practices in build and CI/CD pipelines, testing, supportability, and security for faster and safer deployments.
Manage testing infrastructure and environment provisioning.
Drive automation to reduce manual intervention and operational overhead.
Improve developer productivity by streamlining local dev environments, sandbox infra, and test automation. Release faster and more reliable product.
Ensure ease of supportability, maintainability, and observability of services.
Conduct regular infrastructure reviews, audits, and cost optimizations.

Were looking for an experienced, hands on recruiter with a strong sourcing background to help us scale our team. In this role, you will work closely with hiring managers and leadership to attract exceptional talent across engineering, security research, product, and go to market roles.
You will play a key role in identifying and engaging top candidates globally while helping us continue to build efficient and scalable hiring processes.
Experience recruiting in cybersecurity companies is a strong advantage.
What Youll Do
Own and drive end-to-end hiring processes across technical and business roles.
Proactively source and engage high-quality candidates using creative sourcing strategies, networks, and communities.
Build strong pipelines for critical roles.
Partner closely with hiring managers to define role requirements and hiring strategies.
Ensure high quality candidate experience.
Help strengthen the companys employer brand and attract top global talent.

Join our company and help shape the future of AI security in a fast-paced, high-impact environment.
we are building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At our company, youll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters.
Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.
This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.
What Youll Do:
Own Customer Solution Design
Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.
Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).
Translate security and governance needs into scalable technical implementations.
Be the Technical Bridge
Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.
Partner with Product and R&D to communicate field feedback and influence roadmap priorities.
Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.
Drive AI Security Implementations
Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.
Define best practices for secure AI adoption, governance workflows, and observability frameworks.
Guide customers through architecture decisions, trade-offs, and scalability considerations.
Lead Technical Authority
Act as a trusted advisor to CISOs, security teams, and AI leaders.
Support complex technical escalations and architectural challenges.
Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.

We are looking for a Cloud Platform Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Runtime Platform team, youll be at the heart of our distributed systems, architecting the backbone of our container orchestration and real-time data streaming. Youll focus on hardening our Kubernetes clusters and Kafka infrastructure to ensure our microservices dance in harmony. Your mission is to abstract away the complexity of the underlying infrastructure, providing a seamless paved road for developers to deploy and scale their applications with confidence. Youll obsess over low latency, high throughput, and rock-solid resilience. If you enjoy fine-tuning resource limits or optimizing message durability while sharing your expertise with the wider engineering community, youll fit right in.

We are looking for a Cloud Platform Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Cloud Foundation team, youll be architect of our core infrastructure, with a primary focus on global networking and automated provisioning.
Youll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and Infrastructure as Code pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. Youll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, youll help us evolve a rock-solid foundation that scales as fast as our ambitions.

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

We are seeking a highly motivated and experienced Chief system Engineer to join our team and lead the development of sophisticated solutions that push the boundaries of flight.

We are seeking a highly skilled Senior Backend Engineer to join our team.
Youll tackle complex challenges at the intersection of backend development, scale and data - building and optimizing algorithms that power our marketplace.
What will you do?
Design, develop, and optimize backend solutions that implement scalable, efficient algorithmic solutions.
Solve complex performance and low-latency challenges for data-heavy, high-throughput distributed systems.
Collaborate with data scientists, product, and other backend engineers to research, develop, and deploy end-to-end solutions that drive global business KPIs.
Ensure that all backend systems are tested, optimized, and continuously monitored
Develop a strong understanding of the business to provide high-impact solutions to our stakeholders.

We are seeking a highly autonomous and exceptionally talented AI & Robotics Research & Exploration Specialist. This role is dedicated to AI driven product exploration and rapid prototyping. Conceptualize and build functional MVPs that push the boundaries of our XOS robotics ecosystem. The ideal candidate is a prolific builder and "tinkerer" with deep expertise in software, AI, and computer vision, capable of translating novel concepts into structured, demonstrable prototypes.

Required Backend Engineer
Our Main Engineering Challenges
As a Backend Engineer, you won't just be writing code; you will be solving complex technical puzzles at a massive scale. We operate in a very high-traffic environment.
You will tackle challenges involving big data, predictive AI, and high-performance architecture. within a systems that handle 2.2 billion users per month and process 100 billion events per day.
What will you do?
As a Backend Engineer your mission will be to:
Collaborate with software engineers and data scientists to research, develop, and deploy experiments, features and enhancements with a high impact on our global revenue.
Create, design, develop, test, and monitor your code in production autonomously and reliably.
Work with the Engineering Manager, Product Manager and other teams to frame projects and be accountable for their execution.
Obtain a good understanding of the business to provide relevant solutions to clients.
Be a work facilitator and help communication inside and outside.
Stay up-to-date on new technologies and architectures. If they can solve a problem we have, propose ways to implement them into our current software engineering process.

Required Senior Data Engineer - Core Data Platform Team
Our Core Data Platform team
We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business. We thrive on innovation and seek a Senior Data Engineer to help us build and scale the data infrastructure that powers our insights and analytics. This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.
What will you do?
As a Senior Data Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.
Your mission will be to:
Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.