Software Engineer and Stats Analytics

StackAdapt; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading marketing technology company in Canada is seeking a Backend Software Engineer to design and develop highly scalable, distributed systems using Golang. You will work with various databases and data technologies, ensuring optimized performance and reliability. Candidates should have 2+ years of experience, strong problem-solving skills, and familiarity with relational databases and micro-service architectures. This company values diversity and offers a competitive compensation package along with comprehensive benefits and a welcoming culture.

Benefits

Highly competitive salary

Retirement/401K/Pension Savings

Comprehensive mental health care

Health benefits from day one

Work from home reimbursements

Parental leave program

Training and onboarding program

Access to personal development initiatives

Qualifications

• 2+ years of experience as a Backend Software Engineer.
• Strong problem solving skills in data structures, algorithms, and optimization.
• Experience working with relational databases and/or key-value stores.
• Experience building scalable micro-services and distributed systems.

Responsibilities

• Build highly scalable, distributed real-time micro-services primarily written in Go.
• Work with large data sets and various databases including Aerospike, Elasticsearch, Redis, and more.
• Write performance efficient and memory optimized code.

Skills

Problem solving skills

Experience with relational databases

Experience building scalable micro-services

Tools

Golang

Kafka

Elasticsearch

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.

About the Stats & Analytics Team:

The Stats and Analytics team at StackAdapt solves complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for analytics, and HDFS for distributed storage. The Stats & Analytics team is structured into three sub teams: Data Ingestion, Data Platform and Data Delivery.

About the Data Ingestion Team:

This team builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. We work 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.

About the Data Platform Team:

This team is responsible for building and operating the infrastructure that powers data at scale across StackAdapt. Our systems process terabytes of data daily, serving both real-time and batch use cases. The data platform ensures that data is fresh, accurate, and cost-efficient so that analytics, machine learning, and product teams can rely on trustworthy, governed datasets.

What You'll Be Doing:

• Building highly scalable, distributed real-time micro-services primarily written in Go
• Working with large data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB
• Working with data lakehouse technologies like Apache Iceberg, Apache Trino, and real-time analytics technologies like StarRocks and Clickhouse
• Build software that utilize messaging queues such as Kafka, SQS, and Kinesis
• Write performance efficient and memory optimized code

What You'll Bring to the Table

• 2+ years of experience as a Backend Software Engineer.
• Very strong problem solving skills in data structures, algorithms, and optimization
• Experience working with relational databases and/or key-value stores
• Experience building scalable micro-services and distributed 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.