Job Description
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 Lead 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.
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:
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 teamMake a positive impact on the team's productivity and growthPromote software development best-practices and conduct rigorous code reviewsRigorously identify and solve technical challengesConduct interviews to attract and identify potential high performing candidatesBalance and prioritize projects to maximize efficiency and ensure company objectives are achievedWe'll be reaching out to applicants that have:
Extensive experience with big data processing, ideally at the scale of terabytes or more. Strong technical leadership skills with a proven ability to define and drive long-term engineering strategies. Hybrid expertise in data engineering and software development – not just someone who runs queries, but someone who has built scalable data systems and engineering solutions. Hands-on experience with data warehouse technologies is highly desirable. Bonus: Familiarity with tools like Trino/Presto, Snowflake, and other modern data warehouse platforms. Track record of building and scaling robust data pipelines and systems in production environments. An ability to think strategically, lead technically, and inspire the team toward delivering high-impact, scalable solutions.StackAdapters enjoy:
Highly competitive salaryRRSP/401K matching3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays offAccess to a comprehensive mental health care platformFull benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home officeRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, etc)Access to StackAdapt programmatic courses and certifications to support continuous learningAn awesome parental leave policyA friendly, welcoming, and supportive cultureOur social and team events!
