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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.
About the User Profile Team:The User Profile team at StackAdapt builds and scales the systems that power user identity, audience segmentation, and profile data across our advertising platform. We solve complex distributed systems challenges involving high-throughput data processing, low-latency services, and large-scale data management to enable real-time targeting, bidding, measurement, and marketing workflows.
We leverage a modern tech stack that includes Golang for high-performance backend services, Kafka for event streaming, Kubernetes for container orchestration, Redis and ScyllaDB for distributed data storage, and TiDB for scalable SQL workloads. Engineers on the team build resilient, highly available systems that process billions of events and profile updates while ensuring performance, reliability, and data consistency. This work spans profile ingestion, audience segmentation, and profile services that are foundational to StackAdapt's platform.
StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada for this position.
What You'll Be Doing:Build highly scalable, distributed real-time microservices primarily written in Go.
Design and develop systems that ingest, process, and manage user profile and audience data at scale.
Build event-driven software utilizing messaging technologies such as Kafka.
Work with distributed databases and storage technologies including ScyllaDB, TiDB, and Redis.
Write performance-efficient, memory-optimized code that delivers reliable, low-latency services.
Collaborate with engineers across Product, Machine Learning, Data, and Infrastructure to build core platform capabilities.
2+ years of experience as a Backend Software Engineer.
Very strong problem solving skills in data structures, algorithms, and optimization.
Experience working with relational databases and/or distributed data stores.
Experience building scalable microservices and distributed systems.
Experience with Go, Java, Python, C++, or another modern backend programming language.
A passion for building reliable, high-performance systems that operate at scale.
- 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!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
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. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions. 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: G2 Top Software for 20262026 Best Workplaces for Young Talent and in Canada by Great Place to Work
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