Senior Site Reliability Engineer, Criteo
Analytics Infrastructure
The commerce media platform for the open internet
Open for applications
The commerce media platform for the open internet
1001+ employees
Open for applications
1001+ employees
Company mission
To help marketers and media owners reach their goals through the world's leading Commerce Media Platform.
Role
Who you are
- 5+ years of experience in backend engineering, SRE, or distributed systems roles
- Strong programming skills in Scala, Java, or another JVM/statically typed language, with scripting experience in Python
- Deep understanding of distributed systems, including scalability, reliability, concurrency, and performance tuning
- Experience working with large-scale data or analytics systems, such as query engines, distributed storage, or OLAP databases
- Familiarity with query optimization, high-concurrency workloads, and data-intensive architectures
- Strong experience in Linux/Unix environments and production system operations
- Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes, Mesos)
- Proven ability to build automation, improve reliability, and reduce operational toil
- Experience with CI/CD pipelines, infrastructure-as-code, and configuration management systems
- Strong understanding of observability practices (metrics, logging, tracing) in distributed systems
- Ability to work effectively with cross-functional teams, including product engineers and data stakeholders
- Strong communication skills, with the ability to explain complex system behavior clearly
- Ownership mindset when operating and improving production systems at scale
- Willingness to participate in on-call rotations and incident response
- We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!
What the job involves
- The Platform Core group at Criteo brings together seven agile, human-sized teams responsible for the foundational systems powering all Criteo products
- Within this organization, the Analytics Infrastructure team builds and operates large-scale, multi-datacenter analytics platforms enabling interactive querying, data exploration, and high-volume processing across internal and external workloads
- You will join a highly skilled engineering environment operating some of Europe’s largest analytical systems, supporting massive datasets and high concurrency across hundreds of applications and services
- Design, operate, and evolve distributed analytics infrastructure with a strong focus on scalability, resilience, and performance
- Manage critical data platforms including Vertica, Presto, Druid, Tableau, and related systems
- Ensure reliability and low-latency access for a broad range of users and services
- Develop and maintain automation, deployment, and orchestration systems using Chef, Docker, Mesos, and Kubernetes
- Build internal tooling and operational frameworks primarily in Scala, with opportunities to work in Python or Ruby
- Enhance self-service capabilities for engineering teams while maintaining strong operational standards
- Participate in on-call rotations, incident response, troubleshooting, and root cause analysis
- Improve observability, automation, capacity planning, and cost/performance optimization
- Contribute to infrastructure migrations and reliability initiatives, including Kubernetes adoption
- Work closely with product, data, and platform engineering teams
- Contribute to architectural discussions and help shape the evolution of the platform
- Share knowledge and improve documentation, onboarding, and operational practices
Our take
Commerce marketing is a huge business with billions spent every year on adverts. And companies that help businesses create and deliver more targeted adverts can command a lot of value. Criteo is one such company operating in this space.
Criteo is a personalised retargeting company connecting marketers and media owners through its Commerce Media Platform, delivering richer consumer experiences. Criteo uses machine-learning technology and data to drive performance, helping marketers and media owners reach their goals.
As marketers are increasingly looking for commerce media solutions, Criteo is operating in a sought-after space. Further, around 73% of media owners seek to optimise media performance as a way to both generate awareness and drive revenue, meaning the company has a significant potential client base. Criteo has continued to make headway here, driving 5 billion ads per day, and is well set to see further adoption of its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Sep 2012
$38.6m
SERIES D
May 2010
$7m
SERIES C
Total funding: $59.5m
Company HQ
New Athens, Paris, France
Leadership
Michael Komasinski
(CEO)Prior to joining Criteo in 2025, Michale was the CEO of the America and Group President of Data and Technology at dentsu. He also spent nearly 9 years at Merkle, in various roles, including President of the Americas and Global CEO.
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