Staff Software Engineer, Data Loading Infrastructure

San Francisco · USD 248,000-282,000 / year · 2+ years experience · Hybrid · Posted Oct 19, 2026

At a glance

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.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. 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.
Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

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.

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.

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.