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StackAdapt

Staff Software Engineer, User Data

StackAdapt, Raleigh, North Carolina, United States, 27601

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Overview

Get AI-powered advice on this job and more exclusive features. 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 Team

The User Data 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 100ms. 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. 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 Canada or the United States for this position. What You'll Be Doing

Architect scalable, low-latency backend systems and data pipelines while writing code as necessary to support the team Provide technical leadership in the design of scalable solutions and the establishment of best practices Contribute positively to the team's productivity and growth Advocate for software development best practices and conduct thorough code reviews Proactively identify and address technical challenges What You'll Bring To The Table

Proven track record of building scalable, distributed, data-intensive systems Experience working with large data in low-latency environments At least 7 years of experience in software development for distributed systems, architecting scalable microservices, and data pipelines in a successful high-growth technology company A strong understanding of computer science fundamentals, data structures, and algorithms Up-to-date knowledge and experience in the latest technologies, tools, and frameworks Adtech or Martech experience is a plus Experience with Go and high-performance databases is a plus 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 platform 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: 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 a number of categories including Cross-Channel Advertising Seniority level

Mid-Senior level Employment type

Full-time Job function

Engineering and Information Technology Industries

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