- Experience
- 2+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 hour ago
- Work mode
- Work from home
- Eligibility
- Backend software engineers with at least 2 years of experience who can work remotely from anywhere in Canada. Candidates who value distributed systems, performance engineering, and large-scale data work are a strong fit.
- Resume
- Required to apply
Job description
About the role
Join a remote-first backend engineering team at a fast-growing adtech and martech company that helps marketers plan and run high-impact campaigns across channels. The platform is built for scale, using machine learning and real-time systems to support large volumes of traffic and data. This position is open to candidates located anywhere in Canada.
The engineering environment includes technologies such as Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, and GraphQL. The company operates a real-time bidding system that processes more than 3,000,000 requests every second and manages several terabytes of data daily.
What you will work on
- Develop distributed microservices with a strong focus on performance, scalability, and reliability, primarily using Go.
- Work with very large datasets and a mix of data stores such as Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, and MariaDB.
- Build systems that rely on messaging technologies including Kafka, SQS, and Kinesis.
- Write code that is efficient in both execution speed and memory usage.
- Contribute to one of several backend teams, including bidding, marketing execution, or integrations, depending on team fit and business needs.
Team focus areas
Bidding team: Build and tune real-time services that buy ad inventory across web, mobile, CTV, and other channels. This work includes low-level performance improvements, high-throughput infrastructure, campaign pacing logic, and ML model integrations that affect how millions of dollars are spent each day.
Marketing execution team: Help build backend systems for email, direct mail, and SMS marketing, supporting the company’s broader marketing technology vision. This role suits engineers who enjoy greenfield development, event-driven systems, and shaping how martech and adtech work together.
Integrations / solutions team: Create specialized integrations that connect fragmented parts of the adtech ecosystem into a unified platform. You’ll work with internal product teams and external data partners to expand capabilities and build scalable solutions for new use cases.
What the company is looking for
The ideal candidate has at least 2 years of experience as a backend software engineer and brings strong problem-solving ability, especially in data structures, algorithms, and optimization. You should have hands-on experience with relational databases and/or key-value stores, along with a background in building scalable microservices and distributed systems.
Benefits and perks
- Highly competitive compensation
- Retirement savings support, including 401(k), pension, or equivalent programs depending on location
- Paid time off packages, including a birthday day off
- Access to a broad mental health support program
- Health coverage starting on day one
- Work-from-home reimbursement support
- Optional global WeWork access for employees who prefer a change of workspace, including hubs in London and Toronto
- Structured onboarding and training
- Support for professional development such as conferences, courses, and books
- Access to programmatic advertising courses and certifications
- Parental leave support
- A collaborative, welcoming, and supportive work culture
- Company social activities and team events
Additional information
Benefits and perks can differ based on country of employment and the type of engagement. In places where the company does not have a legal entity, employment and benefits are handled according to local regulations and partner policies.
The company emphasizes diversity, inclusion, and accessibility. Candidates of all backgrounds are encouraged to apply, and support can be arranged for interview-related accommodations. Artificial intelligence may be used to help review resumes and assess fit against the stated criteria, but final hiring and interview decisions are made by people.
About the company
The organization is recognized for its strong performance, customer service, workplace culture, and innovation. It has received multiple industry accolades, including recognition from G2 and Great Place to Work, and is known as a leading demand-side platform in cross-channel advertising.