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Software Engineer, Integrations Services

Technology
StackAdapt
Toronto, Canada1 weeks agoUntil 2026-05-10

Job description

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: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada 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!

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 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 To learn more about our privacy practices, please see our Privacy Policy.

Keywords
Data IntegrationBackend SystemsBig Data PipelinesTechnical GuidanceCode ReviewsPerformance OptimizationData Engineering ToolsDistributed SystemsMicroservicesComputer Science FundamentalsData StructuresAlgorithmsGoHigh Performance DatabasesAdtechMartechStackAdaptSoftware EngineerIntegrations ServicesAIMarketing PlatformReal-Time AdvertisingRuby on RailsAerospikeRedisElasticsearchKafkaRocksDBRedshiftScyllaDBGraphQLData EngineeringBig DataData PipelinesCloud TechnologiesRemote WorkTeam CollaborationScalable Solutions

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