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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.
DoubleVerify 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
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.
DoubleVerify 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 BigData environment using stream processing technologies such as Akka Streams, Kafka Streams, or Spark.
- 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.
- Hands-on experience with MLOps tools (MLFlow, Ray, Seldon, Kubeflow, Vertex.AI, SageMaker, etc.), ML algorithms and frameworks (PyTorch, TensorFlow, HuggingFace, Sklearn, etc.).
- Experience in the AdTech world
Key Skills
Ranked by relevance
c
ha
ai
mlops
machine learning
big data
scala
kafka
spark
lan
functional programming
data structures
kubernetes
tensorflow
kubeflow
pytorch
python
kotlin
docker
mlflow
unity
cloud
excel
java
aws
lua
gcp
san
pan
ui
kf
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- Posted
- Nov 19, 2024
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Helsinki
- Company
- DoubleVerify
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Member of Technical Staff (Software)
2026-05-28
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Not Applicable
Finland
Technology
Engineering
View Job Details
Related
Full-Stack Engineer
2026-05-29
Full-time
Not Applicable
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Engineering