Skills this job asks for
GraphQLProduct managementData engineeringLeadershipKubernetesRedisAudit
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 43 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Asana INC paid sponsored hires in similar roles21 certified filings for “Software Engineer” (Software Developers) in CA: $171k–$220k, median $195k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 43 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Asana INC paid sponsored hires in similar roles
- 21 certified filings for “Software Engineer” (Software Developers) in CA: $171k–$220k, median $195k. Most were filed at wage level II (48%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
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.
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.
What you’ll achieve
• 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.
About you
• 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.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
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 co
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