StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

We're seeking a Software Engineer to help our growing backend engineering team. We’re working on an exciting new data engineering initiative to solve a hard and complex big data problem, leveraging new technologies, at the core of what StackAdapt is built upon. We are seeking experienced software engineering candidates to help us design and build this from the ground up! Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies.

Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position.

What You'll Be Doing:

• Work with a team of engineers to build first-party and third-party data integration with external data sources
• Build and architect scalable low-latency backend systems and big data pipelines
• Provide technical guidance in designing scalable solutions and best practices
• Make a positive impact on the team's productivity and growth
• Promote software development best-practices and conduct rigorous code reviews
• Rigorously identify and solve technical challenges
• Write performance efficient and memory optimized code that can scale with the volume of data that we ingest

What You'll Bring to the Table:

• Proven track record of building scalable data pipelines and services
• Experience with working with large data in low-latency environments
• Software development experience in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company
• A strong understanding of computer science fundamentals, data structures, and algorithms
• Up to date knowledge and experience in the latest technologies, tools, and frameworks
• Experian with data engineering tools and frameworks (Spark, Flink, Apache Beam, BigQuery, Redshift, dbt, etc)
• Experience with Go and high performance databases is a plus
• Adtech or Martech experience is an asset