Senior Software Engineer, Stats & Analytics - Data Ingestion

StackAdapt

7h•Remote

About The Position

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.

Requirements

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

Nice To Haves

Experience working on data ingestion, ETL, or streaming data platforms
Familiarity with AdTech, event-driven architectures, or analytics systems

Responsibilities

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

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!