Staff Software Engineer - Stats and Analytics

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.

StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience.

Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America.

We're seeking a Staff Engineer to help lead our growing backend engineering team. 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.

About the Team: The Stats & Analytics team at StackAdapt is responsible for managing the end-to-end data lifecycle, from ingesting diverse data types such as engagement events (impressions, clicks) and conversion data (purchases, website visits) to distributing this data across critical downstream services like reporting, billing, bidding, and analytics. We also ensure that this data is accessible for offline use, supporting data warehousing, client reporting, and custom dashboards.

Our team tackles complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for powerful search and analytics, and HDFS for distributed storage. If you're passionate about solving large-scale data problems and working with cutting-edge technologies, the Stats & Analytics team offers an exciting opportunity.

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:

• Working with team of engineers focused on building StackAdapt’s stats and analytics offering
• Build deep understanding and expertise in multiple different databases that house petabytes of data
• Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team.
• Lead and mentor a team of talented engineers within the backend distributed systems team
• 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
• Conduct interviews to attract and identify potential high performing candidates
• Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved

We'll be reaching out to applicants that have:

• Experience with working with large datasets
• Experience with real-time analytics services
• Proven track record of delivering results and leading growing, high-impact teams
• At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company
• At least 1 year of leadership experience, including all the responsibilities listed above
• A strong understanding of computer science fundamentals, data structures, and algorithms
• Up to date knowledge and experience in the latest technologies, tools, and frameworks
• Experience with Go and high performance databases is a plus

StackAdapters enjoy:

• Highly competitive salary
• RRSP/401K matching
• 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
• Access to a comprehensive mental health care platform
• Full benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• An awesome parental leave policy
• A friendly, welcoming, and supportive culture
• Our social and team events!