Senior Software Engineer, Logging & Experiments

We’re looking for a backend-oriented engineer to join our Data Infrastructure team in Vancouver to scale the foundation of how the company measures success. The Data Infrastructure team builds the infrastructure responsible for consuming, exposing, and creating product and product-derived datasets, owning the pipelines that transport and process data from all of the company’s product surfaces. You will lead the design and execution of high-bandwidth logging systems and experimentation frameworks that empower every product team at the company to make data-driven decisions. As a senior member of the team, you’ll solve hard technical challenges and magnify the impact of those around you through mentorship and operational excellence. This role is based in our Vancouver office with an office-centric hybrid schedule.

The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Design, develop, and maintain medium to large-scale projects related to logging and experimentation, acting as a subject matter expert for our Vancouver engineering site.
• Scale and optimize our in-house experimentation and feature flagging framework, ensuring reliable, low-latency execution for logic sitting in the critical path of every the company user session.
• Define and implement the next generation of our logging APIs, establishing the high-fidelity data contracts used across the company to architect solutions for unique observability challenges.
• Curate the observability experience for the company’s engineers, working at the interface of vendor capabilities and internal workflows to provide out-of-the-box monitoring and debugging.
• Collaborate cross-functionally with Product, Infrastructure, and Data Science teams to align our infrastructure with the evolving needs of the company’s strategy.
• Facilitate technical clarity across teams by writing high-quality design docs and documentation that scale your impact beyond your immediate projects.

About you

• Software, Data, or Infrastructure Engineering background with experience shipping production-grade code and navigating both application development and data-intensive backends.
• 5+ years of experience designing and shipping production-ready systems, with a focus on building scalable backend services, distributed systems, or cloud-native infrastructure.
• Familiarity with at least one of the following, or a strong interest to learn: distributed data processing, experiment and feature flag rollout systems, and modern observability and logging platforms.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
  Strong focus on competencies such as solving problems across the stack and participating in complex infrastructure rollouts.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $176,000 - $200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
  Career coaching & support
• Inclusive family building benefits
  Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

About us

The company is a leading platform for human + AI collaboration. Millions of teams around the world rely on the company to achieve their most important goals, faster. The company has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.

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