Sr. Software Engineer

<p><strong>Who we are </strong></p> <p>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.<br/>DoubleVerify is a big data analytics company that tracks and analyzes tens of billions of ads daily for major brands like Nike, AT&amp;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&amp;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.<br/>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.</p> <p> </p> <p><strong>What will you do</strong></p> <ul> <li>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.</li> <li>Design and develop MLOps infrastructure to support our ML/AI models at scale, including CI/CD, automation, evaluation, and monitoring.</li> <li>Lead projects by architecting, designing, and implementing solutions that will impact the core components of our system.</li> <li>Develop and maintain scalable distributed systems in a BigData environment using stream processing technologies such as Akka Streams, Kafka Streams, or Spark.</li> </ul> <p> </p> <p><strong>Who you are</strong></p> <ul> <li>4+ years of experience coding in an industry-standard language such as Kotlin, Java, Scala, or Python</li> <li>Demonstrated interest in machine learning and the advancements in the field, including familiarity with MLOps tools and frameworks.</li> <li>Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading, and distributed systems</li> <li>Experience working with various Big data technologies and tools (DataBricks, Snowflake, BigQuery, Kafka, Spark, Airflow, Argo) at scale</li> <li>Experience working in Docker/Kubernetes and cloud providers (GCP/AWS/Azure)</li> <li>Result-oriented contributor with a "can do" attitude - take a task from concept to full implementation.</li> <li>A team player with excellent collaboration and communication skills.</li> </ul> <p> </p> <p><strong>Nice to have</strong></p> <ul> <li>Hands-on experience with MLOps tools (MLFlow, Ray, Seldon, Kubeflow, Vertex.AI, SageMaker, etc.), ML algorithms and frameworks (PyTorch, TensorFlow, HuggingFace, Sklearn, etc.).</li> <li>Experience in the AdTech world</li> </ul>