Staff Software Engineer, Data Loading Infrastructure

📋 Job Overview

LunaDb is Asana’s core reactive data loading platform, powering our GraphQL-like query model to deliver instantaneous updates across web, mobile, and external API platforms at a scale of billions of daily queries. As a Staff Software Engineer on the Data Loading Infrastructure team, you will lead the next chapter of LunaDb by driving stack modernization, challenging architectural assumptions, and building dependable, highly available distributed services. You will set technical direction, improve workload isolation and query performance, and partner closely with product engineering teams to ensure Asana remains fast, reliable, and scalable as we expand platform capabilities.

🏢 About Asana

Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana 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.

🎯 The Role

This role is based in our San Francisco 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.

✅ Key Responsibilities

• Define and execute a technical roadmap that improves scalability, reliability, developer productivity, and operational simplicity.
• Design, build, and operate highly available distributed services, caching layers, and realtime data pipelines processing millions of events per second.
• Advance query performance, cache invalidation, workload isolation, and resource efficiency while preserving data correctness across the platform.
• Partner with product engineers to support new capabilities, making complex data access easier, faster, and more predictable.
• Lead major initiatives through architecture, implementation, safe migration, rollout, and long-term production operations.
• Mentor teammates, guide cross-team technical architecture, and raise the bar for system design, reliability, and engineering quality.
• Participate in on-call rotations, lead incident investigations, and translate operational learnings into lasting improvements across tooling, automation, and infrastructure architecture.

📌 Required Qualifications

• 7+ years of software engineering experience designing, building, and operating large-scale distributed backend services.
• 2+ years of experience building and scaling high-throughput data pipelines, relational/non-relational data stores, and realtime streaming systems.
• Proven track record of operating mission-critical production systems and maintaining high reliability standards.
• Demonstrated technical leadership in setting architectural direction, driving cross-team consensus, and mentoring senior engineers.
• Deep architectural judgment with the ability to articulate trade-offs clearly to both engineering peers and cross-functional partners.
• Practical expertise with Kubernetes, distributed caching technologies (such as Redis), and cloud-native infrastructure design.

⭐ Desirable Experience

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

🎁 Benefits

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. For this role, the estimated base salary range is between $248,000 - $282,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. 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

🛂 Visa & Eligibility

We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.