Jobs / United States / Roblox Corporation
Senior Software Engineer, Data Infrastructure
Roblox Corporation · 🇺🇸 San Mateo, CA, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 197 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. USCIS also records 48 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- 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. 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 Roblox Corporation paid sponsored hires in similar roles122 certified filings for “Senior Software Engineer” (Software Developers) in CA: $227k–$295k, median $243k. Most were filed at wage level IV (41%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
Or apply yourself on the official page →
Sponsor Radar — Roblox Corporation
The US Department of Labor certified 197 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. USCIS also records 48 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Roblox Corporation →
About the role
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions. As a Senior Software Engineer in our Data Infra org, you will design, build, and scale the distributed data infrastructure platforms that power Roblox. You will own and drive the next-generation architecture of our core platforms, which span Kafka, Flink, Spark, Trino, Druid, Airflow and Data Catalog. This role combines high ambiguity and ownership to push the boundaries of what our infrastructure can handle at massive scale, giving you the unique opportunity to steer the evolution of the data landscape. You Will: • Own and Scale Core Platform Components: Take responsibility for the design, architecture, and implementation of 1–2 key data platform frameworks within our stack • Collaborate and Align: Partner with infra, data science, and product engineering teams to ensure your target platform's capabilities are directly guided by platform governance and product requirements. • Optimize Performance at Scale: Dive deep into engine internals, query planning, state management, memory optimization, serialization efficiency to maximize throughput and reliability under heavy load. • Drive Infrastructure Robustness: Lead the design, testing, and operational lifecycle of next-generation infrastructure features running on Kubernetes across cloud environments. • Agentic Interface: Embed AI/ML capabilities within our data platforms, leveraging LLMs for data discovery and generation, building autonomous, self-serve mechanisms for platform interaction layer. You Have: • 5+ years of experience building, designing, testing and maintaining production-grade, large-scale distributed systems. • Data Platform Depth: Deep technical experience building or strong familiarity with at least 1 or 2 foundational technologies within our stack: Kafka, Flink, Spark, Trino, Druid, Airflow, or Data Catalog/Metadata systems. • Strong Engineering Foundations: Robust proficiency in Java, Go, or Scala , with a track record of writing clean, highly performant backend code. • Cloud Fluency: Experience operating and troubleshooting data infrastructure at scale on top of Kubernetes in AWS or GCP. • Technical Leadership: Demonstrated ability to influence technical direction across teams, mentor engineers, and drive alignment on complex cross-cutting initiatives. • B.S. equivalent in CS or sufficient experience. Nice to Have: • Contributions to open-source projects in the data infrastructure ecosystem. • Experience operating infrastructure at consumer-internet scale (100M+ users). For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range