I'm looking for a Software Engineer to join our great team working in Finland.

They are 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.

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 BigData 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 (DataBricks, Snowflake, BigQuery, 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.

We Offer Excellent Compensation And Benefits, Which Include

• A competitive wage
• A stock plan
• A bonus plan
• A generous vacation schedule
• Flexible working hours and a hybrid working policy
• 10% of your time dedicated to your personal growth plan

If interested, connect with me on LinkedIn or email below:

Email: daniel.zelnis@vividresourcing.com