Get to know us

We’re building technology that operates at global scale, and we’re doing it together.

By joining our R&D organization of more than 1,000 engineers, you’ll be part of a diverse, international community that shares knowledge, challenges ideas, and continuously raises the bar for engineering excellence. At the same time, you’ll work day to day within a small Product Engineering team (5–7 people), where ownership is real and your contributions directly shape one core component of our solution.

If you’re excited by high-performance backend systems, low-latency constraints, and products that serve billions of requests every day, we’d love to meet you.

What you’ll do

• Design, build, and evolve business-critical APIs, services, and backend components running at massive scale
• Take ownership of one key component of our product, from design and implementation to deployment and long-term evolution.
• Work closely with Product and Program Management to co-design robust architectures that meet both technical and business needs.
• Collaborate with multiple, multicultural R&D teams to ensure smooth integration between client-facing applications and the broader ecosystem.
• Continuously deploy your applications, leveraging modern CI/CD practices to ensure reliability, performance, and fast feedback loops.
• Actively contribute to a strong engineering culture rooted in craftsmanship, inclusion, and a passion for quality.
• By sharing insights from meetups, conferences, and the wider tech community, you’ll help us adopt state-of-the-art frameworks, libraries, and best practices, from testing strategies to deployment and observability.

Catalog Enrichments & AdSafety is a team whose goals are to develop/maintain the Universal Catalog and ML projects mostly based on Natural Language Processing (NLP). As a ML Engineer in our team, you will:

• Build the future of product representation and retrieval across our ecosystem. Once our prototypes and ideas show value, we push them into production: whether that means generating embeddings for billions of items, supporting large-scale retrieval indexes, or serving models under tight latency budgets. Our engineering teams ensure these models operate reliably and scale seamlessly.
• Design and implement machine learning models for product classification and enrichment, tailored to our unique latency and scalability requirements.
• Work with the agility of a medium-sized data and machine learning team and the reach of a company-wide platform. You’ll move quickly on ambitious ideas and measure their impact through offline evaluations and online experiments.
• Analyze large datasets, identify modeling challenges, propose solutions, build prototypes, and iterate quickly.
• Stay current on academic and industrial developments in machine learning applying them to our specific product use cases.
• Collaborate with experienced engineers to take models from prototype to production-quality systems.

CRITEO is looking for Fullstack Software Engineers to join our amazing Product Engineering team in Bucharest!

Are you passionate about building applications that make life easier for developers and end-users alike? At Criteo, we’re looking for someone who thrives in collaborative environments, loves solving complex problems, and is excited about shaping the future of APIs.

Your main responsibilities :

• Partner with Product teams, R&D colleagues, and our API Guild to design APIs that truly make an impact.
• Collaborate with UI/UX experts to create user-friendly, accessible interfaces.
• Implement and test applications with unit, integration, and end-to-end testing to ensure reliability.
• Review code with your teammates to maintain high standards and long-lasting quality.
• Work closely with multicultural R&D teams to connect client-facing applications with the rest of Criteo’s systems.
• Continuously deploy applications, keeping our systems agile and responsive.
• Bring fresh ideas from meetups and conferences to strengthen our frameworks, libraries, and best practices in testing and CI/CD.
• Our current tech stack includes C#/ASP.NET Core on the back end and Angular on the front end

What’s the Platform Core group?

The Platform Core group, composed of six agile and human-sized teams, provides the core platform and systems to run Criteo products.

Whether it’s:

• Providing relational database management system (RDBMS) services.
• Providing platform services for caching systems and others NoSQL technologies.
• Providing Criteo configuration systems Config-as-Code and ScopeConfig.
• Building and operating a highly scalable and resilient ingest and egress service for HDFS.
• Deploying, operateng and developing abstractions for analytic data stores.
• Building and operating u-Slicer reporting tool.

How You’ll Make An Impact

As a Senior Software Engineer​ – Site Reliability Engineer in the Platform Core group at Criteo, you’ll play a key role in designing, building, and operating the foundational systems that power all of our mission-critical applications. Whether you’re working on relational or distributed databases, key-value stores, or high-performance SDKs, your work will have broad technical impact at massive scale.

What You’ll Do

• Design, build, and evolve large-scale infrastructure and database systems to meet our growing needs in performance, scalability, and resilience – where high speed and low latency are key.
• Collaborate across teams to ensure reliability and consistency, supporting developers with tools, automation, and best practices that balance autonomy and operational excellence.
• Drive innovation and transformation by migrating systems to our private cloud, automating away repetitive tasks, and exploring modern solutions to support evolving business and client needs.
• Take ownership of incidents, troubleshoot critical issues, and continuously improve systems through proactive monitoring, root cause analysis, and long-term fixes.
• Shape the future of our infrastructure by actively contributing to technical vision, sharing ideas, and delivering solutions that have a company-wide impact across hundreds of services and applications.
• Stack: C#, Java, Scala, Python, Golang, NoSQL, SQL, Kafka, Hadoop, Vertica, Druid, Memcached, Elasticsearch, Aerospike, Kubernetes, Mesos, Linux, Prometheus, Grafana, Kibana, etc.