StackAdapt
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.
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.
About the Team The User Profile team manages all aspects of user profiles, from bidding stream data ingestion to data processing, augmentation, and storage, and provides different representations of these datasets to various downstream services and stakeholders, including Bidding, Data Science, and other teams. We also own the non-programmatic workflow engine and user segment builder.
Our systems are built in Golang and handle millions of requests per second with an SLA of 100 ms. We leverage AWS, Kubernetes, Kafka, ScyllaDB, and other modern tools and databases. It’s important to note that we are a software services team, not a data engineering team.
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
What you'll be doing:
Building highly scalable, distributed real‑time micro‑services primarily written in Go
Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB
Build software that utilizes messaging queues such as Kafka, SQS, and Kinesis
Write performance efficient and memory optimized code
What you'll bring to the table:
5+ years of experience as a Backend Software Engineer
Extensive hands‑on experience with at least one widely used backend programming language (Go preferred but not required)
Strong problem‑solving skills in data structures, algorithms, and optimization
Experience working with relational databases and/or key‑value stores
Experience building scalable micro‑services and distributed systems
Bonus: Experience in Adtech/Martech, understanding of user/profile management, familiarity with real‑time data streaming and large‑scale data storage, and basic knowledge of Machine Learning concepts
StackAdapter's Enjoy:
Highly competitive salary
Retirement/401K/Pension Savings globally
Competitive Paid time off packages including birthday's off!
Access to a comprehensive mental health care program
Health benefits from day one of employment
Work from home reimbursements
Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
Robust training and onboarding program
Coverage and support of personal development initiatives (conferences, courses, books etc)
Access to StackAdapt programmatic courses and certifications to support continuous learning
An awesome parental leave program
A friendly, welcoming, and supportive culture
Our social and team events!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award‑winning customer service, and innovation. We've been awarded:
Interested in building your career at StackAdapt? Get future opportunities sent straight to your email.
#J-18808-Ljbffr
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.
About the Team The User Profile team manages all aspects of user profiles, from bidding stream data ingestion to data processing, augmentation, and storage, and provides different representations of these datasets to various downstream services and stakeholders, including Bidding, Data Science, and other teams. We also own the non-programmatic workflow engine and user segment builder.
Our systems are built in Golang and handle millions of requests per second with an SLA of 100 ms. We leverage AWS, Kubernetes, Kafka, ScyllaDB, and other modern tools and databases. It’s important to note that we are a software services team, not a data engineering team.
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
What you'll be doing:
Building highly scalable, distributed real‑time micro‑services primarily written in Go
Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB
Build software that utilizes messaging queues such as Kafka, SQS, and Kinesis
Write performance efficient and memory optimized code
What you'll bring to the table:
5+ years of experience as a Backend Software Engineer
Extensive hands‑on experience with at least one widely used backend programming language (Go preferred but not required)
Strong problem‑solving skills in data structures, algorithms, and optimization
Experience working with relational databases and/or key‑value stores
Experience building scalable micro‑services and distributed systems
Bonus: Experience in Adtech/Martech, understanding of user/profile management, familiarity with real‑time data streaming and large‑scale data storage, and basic knowledge of Machine Learning concepts
StackAdapter's Enjoy:
Highly competitive salary
Retirement/401K/Pension Savings globally
Competitive Paid time off packages including birthday's off!
Access to a comprehensive mental health care program
Health benefits from day one of employment
Work from home reimbursements
Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
Robust training and onboarding program
Coverage and support of personal development initiatives (conferences, courses, books etc)
Access to StackAdapt programmatic courses and certifications to support continuous learning
An awesome parental leave program
A friendly, welcoming, and supportive culture
Our social and team events!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award‑winning customer service, and innovation. We've been awarded:
Interested in building your career at StackAdapt? Get future opportunities sent straight to your email.
#J-18808-Ljbffr