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StackAdapt

Senior Software Engineer, Stats & Analytics - Data Ingestion

Posted 13 Days Ago
Easy Apply
Remote
2 Locations
Senior level
Easy Apply
Remote
2 Locations
Senior level
Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.
The summary above was generated by AI

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:

We’re looking for a Senior Software Engineer to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow.

The team works on large-scale distributed systems focused on scalability, performance, reliability, and data correctness, processing 10+ billion events per day. Our systems power core functions across bidding, reporting, billing, analytics, and machine learning.

We design and run low-latency, highly reliable ingestion systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available for downstream teams in real time. Our core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more. 

If you enjoy solving complex distributed systems problems at scale, this team offers meaningful technical challenges and impact.

What You'll Be Doing:
  • Design, build, and operate highly scalable, distributed ingestion services for real-time and near–real-time scenarios
  • Build and maintain event ingestion pipelines using streaming technologies like Kafka
  • Work with high-volume storage systems and databases to persist and serve data efficiently
  • Partner with Data, ML, Product, and Platform teams to support evolving requirements
  • Lead projects end-to-end, from design through production and monitoring
  • Improve code quality, testing practices, system reliability, and observability
  • Participate in design reviews, code reviews, and mentorship
What You'll Bring to the Table:
  • 5+ years of experience as a backend software engineer
  • Strong experience building distributed systems and high-throughput backend services
  • Experience with Golang (or similar languages with a willingness to learn and work in Go)
  • Hands-on experience with streaming systems (Kafka or similar)
  • Solid understanding of distributed systems tradeoffs (consistency, availability, partition tolerance, scalability)
  • Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
  • Collaborative mindset and strong communication skills
Bonus:
  • Experience working on data ingestion, ETL, or streaming data platforms
  • Familiarity with AdTech, event-driven architectures, or analytics systems 
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 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
 
To learn more about our privacy practices, please see our Privacy Policy.
 
#LI-REMOTE

Top Skills

Aerospike
Go
Kafka
Kubernetes
Tidb
Vitess
HQ

StackAdapt Toronto, Ontario, CAN Office

100 University Avenue, Floor 5, Toronto, Ontario, Canada, ON M5J 1V6

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