Software Engineer, Integrations Services

Canada
Permanent
Full-time

2 months ago

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.We're seeking a Software Engineer to help our growing backend engineering team. We're working on an exciting new data engineering initiative to solve a hard and complex big data problem, leveraging new technologies, at the core of what StackAdapt is built upon. We are seeking experienced software engineering candidates to help us design and build this from the ground up! 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:StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position.What You'll Be Doing:

Work with a team of engineers to build first-party and third-party data integration with external data sources
Build and architect scalable low-latency backend systems and big data pipelines
Provide technical guidance in designing scalable solutions and best practices
Make a positive impact on the team's productivity and growth
Promote software development best-practices and conduct rigorous code reviews
Rigorously identify and solve technical challenges
Write performance efficient and memory optimized code that can scale with the volume of data that we ingest

What You'll Bring to the Table:

Proven track record of building scalable data pipelines and services
Experience with working with large data in low-latency environments
Software development experience in 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
Experience with data engineering tools and frameworks (Spark, Flink, Apache Beam, BigQuery, Redshift, dbt, etc)
Experience with Go and high performance databases is a plus
Adtech or Martech experience is an asset

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.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 StackAdaptWe've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:and by Great Place to Work®To learn more about our privacy practices, please see our .#LI-REMOTE

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