Senior Software Engineer, Marketing Enablement & Technology

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Marketing Enablement & Technology based in Canada.

This role sits at the intersection of software engineering, marketing technology, data, and product strategy, powering systems behind large-scale paid marketing operations.

You’ll architect and scale backend services, APIs, and data pipelines that support campaign execution, audience targeting, conversion tracking, and third-party integrations.

Working across Paid Social, Display, SEM, Online Video, Linear Television, and Streaming Audio, you’ll help build reliable infrastructure for critical marketing workflows.

The role offers substantial technical ownership, with responsibility for projects from architecture and experimentation through production rollout.

You’ll partner closely with Marketing and Product leaders, influencing technical direction while balancing business value, complexity, performance, and delivery timelines.

You’ll also mentor engineers and improve engineering practices through automation, reusable abstractions, and thoughtful system design.

This is an opportunity to make a direct impact on growth while working on high-throughput systems at the intersection of technology and modern digital marketing.

Accountabilities

• Lead complete engineering projects independently across backend services, APIs, and data pipelines, defining architecture, experimentation, development, and rollout strategies across multiple systems.
• Architect scalable, reliable, and cost-efficient solutions capable of supporting high-throughput marketing operations.
• Identify and address underlying technical problems by developing appropriate abstractions, simplifying system complexity, and promoting reusable solutions.
• Partner directly with Marketing and Product stakeholders to shape requirements, influence product direction, and make thoughtful trade-offs between technical complexity, business value, and delivery timelines.
• Develop and scale systems supporting marketing campaign execution, conversion tracking, audience targeting, and third-party advertising integrations.
• Drive technical improvements across observability, reliability, performance, automation, and system extensibility.
• Mentor junior engineers through code reviews, technical guidance, onboarding, and day-to-day engineering support.
• Contribute to team productivity by improving engineering processes and developing automation that reduces repetitive work.
• Support strategic modernization efforts, technical debt reduction, production reliability, and long-term platform scalability.

Requirements

• 5–8 years of professional software engineering experience, with expert-level Python skills for scalable backend services, APIs, and data pipelines.
• Proven experience leading complete technical projects from architecture and implementation through experimentation and production rollout.
• Deep expertise with data integration technologies, including Snowflake, SQL, ETL processes, Airflow, and dbt.
• Strong experience designing systems for performance, scalability, reliability, and robustness, including comprehensive observability through logging, metrics, and tracing.
• Strong product mindset, with the ability to investigate complex problems, influence product direction, and balance technical and business considerations.
• Excellent communication skills, with the ability to mentor engineers, build alignment across teams, and explain technical concepts to diverse stakeholders.
• Experience designing automation frameworks and reusable abstractions that improve engineering productivity and system extensibility is preferred.
• Advanced knowledge of advertising platform APIs such as Google Ads, Facebook Ads, and Snapchat Ads, as well as large-scale conversion tracking, is preferred.
• Strong understanding of digital marketing operations and performance marketing metrics such as ROAS, LTV, CAC, and CPA is preferred.
• Experience with cloud cost optimization, chaos engineering, disaster recovery, technical debt management, or legacy system modernization is a plus.
• Knowledge of security-by-design principles and experience leading production incident response is a plus.
• Demonstrated ability to use AI tools to improve engineering productivity and contribute to AI-assisted development infrastructure is preferred.
• Strategic, adaptable, and collaborative approach to solving complex technical and business problems.

Benefits

• Remote position available to candidates permanently located in Ontario, Alberta, British Columbia, or Nova Scotia.
• Flex First work model offering flexibility to work from home, an office, or another suitable location.
• Base compensation of $168,000–$177,500 USD for Canadian-based candidates, depending on location, experience, skills, and role requirements.
• Eligibility for a new-hire equity grant.
• Eligibility for annual equity refresh grants.
• Market-competitive benefits tailored to the employee's location.
• Opportunity to work on large-scale backend systems, data pipelines, APIs, and marketing technology infrastructure.
• Significant technical ownership and influence over architecture and product strategy.
• Cross-functional collaboration with Marketing, Product, Operations, and Engineering teams.
• Mentorship and leadership opportunities through technical guidance, code reviews, and team development.
• Exposure to paid marketing technologies, advertising platforms, data infrastructure, automation, and AI-assisted engineering.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.