StackAdapt

Compensation

Full Description

StackAdapt is a leading technology company that empowers marketers to reach, engage, and convert audiences effectively. With an incredible capability of 465 billion automated optimizations every second, our AI-powered StackAdapt Marketing Platform connects brand and performance marketing, driving measurable results throughout the customer journey. The most innovative marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. Ranked as the number one performing programmatic advertising platform, StackAdapt accelerates customer engagement and acquisition. Our state-of-the-art platform marries advanced machine learning with cutting-edge user experience. As one of Canada's fastest-growing companies, we are proud to be recognized by G2 Crowd for exceptional performance and to hold notable positions on Deloitte's Technology Fast 50 and Fast 500 in North America. About the Team: The User Data team is responsible for all aspects of user profiles. We handle everything from data ingestion and processing to storage and representation for various downstream services and stakeholders, including Bidding, Data Science, and more. Our team also oversees the non-programmatic workflow engine and user segment builder. Our systems, built primarily in Golang, handle millions of requests per second with an SLA of 100ms. We utilize modern tools and databases such as AWS, Kubernetes, Kafka, and ScyllaDB. It's important to note that we are a software services team, not a data engineering team. What You'll Be Doing: Developing highly scalable, distributed real-time micro-services mainly using Go. Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, and MariaDB. Creating software that utilizes messaging queues such as Kafka, SQS, and Kinesis. Writing 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 common backend programming language (Go is preferred, but not mandatory). Strong problem-solving skills in data structures, algorithms, and optimization. Experience in working with relational databases and/or key-value stores. Expertise in building scalable micro-services and distributed systems. Bonus: Experience in Adtech/Martech, understanding user/profile management, familiarity with real-time data streaming and large-scale data storage, and basic knowledge of Machine Learning concepts. StackAdapt's Enjoy: Competitive salary. Retirement/401K/Pension Savings globally. Generous Paid Time Off packages, including birthdays off! Access to a comprehensive mental health care platform. Health benefits from day one of employment. Work from home reimbursements. Optional global WeWork membership for a change of scenery, including hubs in London and Toronto. Comprehensive training and onboarding program. Support for personal development initiatives (conferences, courses, books, etc.). Access to StackAdapt programmatic courses and certifications for continuous learning. Robust parental leave program. A friendly, welcoming, and supportive work culture. Social and team events! At StackAdapt, we are committed to diversity and inclusion. No matter your background, beliefs, or identity, you are welcome here. If you require any accommodations during 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 are proud to have received accolades such as: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work #1 DSP on G2 and leader in various categories including Cross-Channel Advertising