Who we are
We're looking for a Sr. Software Engineer to join our great team working in Finland. Our Helsinki office, located in central Helsinki, provides a comfortable workspace for collaboration.
Double Verify is a big data analytics company that tracks and analyzes tens of billions of ads daily for major brands like Nike, AT&T, and Disney. We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak. We process events in real-time to ensure ads are fraud-free, appropriately placed, and effectively measured. Our global presence includes R&D centers in Tel Aviv, New York, Helsinki, Berlin, Ghent, and San Diego, offering you the chance to collaborate with a diverse and talented team across different locations.
If you're seeking an opportunity to work with diverse professionals, tackle complex challenges, and make a meaningful impact in a fast-paced, large-scale environment, we encourage you to apply.

What will you do

• Join a team of experienced engineers to build backend infrastructure (data processing jobs, micro-services) and create automated workflows to process large datasets for machine learning purposes.
• Design and develop MLOps infrastructure to support our ML/AI models at scale, including CI/CD, automation, evaluation, and monitoring.
• Lead projects by architecting, designing, and implementing solutions that will impact the core components of our system.
• Develop and maintain scalable distributed systems in a Big Data environment using stream processing technologies such as Akka Streams, Kafka Streams, or Spark.

Who you are

• 4+ years of experience coding in an industry-standard language such as Kotlin, Java, Scala, or Python
• Demonstrated interest in machine learning and the advancements in the field, including familiarity with MLOps tools and frameworks.
• Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading, and distributed systems
• Experience working with various Big data technologies and tools (Data Bricks, Snowflake, Big Query, Kafka, Spark, Airflow, Argo) at scale
• Experience working in Docker/Kubernetes and cloud providers (GCP/AWS/Azure)
• Result-oriented contributor with a "can do" attitude - take a task from concept to full implementation.
• A team player with excellent collaboration and communication skills.

Nice to have

• Hands-on experience with MLOps tools (MLFlow, Ray, Seldon, Kubeflow, Vertex.AI, Sage Maker, etc.), ML algorithms and frameworks (Py Torch, Tensor Flow, Hugging Face, Sklearn, etc.).
• Experience in the Ad Tech world