Opportunities in Canada

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 StackAdapt: StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio and in-game 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.   Engineering Team: As an Engineer at StackAdapt, you will be directly involved in the development of our advertising platform, producing production level code that will have a direct impact on the success of our product. You will work with large data sets and have exposure to modern tech stacks around GoLang and more. StackAdapt's engineering organization believes in working collaboratively and cross functionally. You will get the opportunity to work in a diverse and flexible culture with dedicated career paths to help you succeed.   About the Backend Team: The backend teams at StackAdapt are responsible for engineering data-intensive large distributed backend systems powering core features including bidding, analytics, inventory, integrations, and user profiling. 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 What you'll be doing: Building highly scalable, distributed real-time micro-services primarily written in GoWorking 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: Contribute to technical planning and architectural decision-making Collaborating with team members on designing complex, scalable, well-tested, and well documented Backend software Ability to take responsibility and ownership of projects Contribute to code reviews and cross-team collaboration with product managers and designers Write extensible scalable and test-driven software, either in teams or individually depending on the scope of the project Working with a designated mentor throughout the internship for technical and career growth direction is an asset Having experience with SQL-based databases and writing complex queries for reporting purposes is an asset Building highly scalable, distributed real-time micro-services primarily written in Go The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask c andidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer. This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package. Factors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer. Base Salary Band $35 — $55 CAD StackAdapter's Enjoy: Highly competitive salary Access to StackAdapt programmatic courses and certifications to support continuous learning 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, 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 2026 2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work® #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising 2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards   To learn more about our privacy practices, please see our Privacy Policy .   #LI-REMOTE