Senior Software Engineer, Stats & Analytics - Data Ingestion

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.

StackAdapt is a Remote First company and we are open to candidates located anywhere in Canada or the United States for this position.

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

Benefits

• 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.

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