Jobs / United States / Workday INC
Sr. Software Engineer - Distributed Systems
Workday INC · 🇺🇸 3 Locations
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 255 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 103 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 Workday INC paid sponsored hires in similar roles80 certified filings for “Software Development Engineer” (Software Developers) in CA: $166k–$214k, median $188k. Most were filed at wage level II (64%) — 2 lottery entries, ≈31% 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.
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Sponsor Radar — Workday INC
The US Department of Labor certified 255 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 103 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 Workday INC →
About the role
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team The Data Platform and Observability team is based in Pleasanton, CA; Boston, MA; and Dublin, Ireland. We enable real-time insight across Workday's platforms, infrastructure, and applications — including the AI agents and automated workflows that are becoming part of how those applications run. Our focus is building a large-scale distributed data and observability platform that keeps critical Workday services, and the AI-powered capabilities layered on top of them, fast, reliable, and trustworthy in production. We handle hundreds of terabytes of data and billions of messages produced daily across Workday's applications and underlying services, powering a platform that tracks over 2 billion time-series in production. We're also modernizing how we do observability itself — bringing AI-driven approaches like anomaly detection, intelligent alerting, and automated root-cause analysis into the platform, so our systems get smarter about surfacing problems before they become incidents. If you enjoy writing efficient software, tuning and scaling large distributed systems, and applying AI to make observability itself sharper, you'll enjoy working with us. Do you want to solve interesting challenges at massive scale, across private and public cloud, for 4,000+ global customers — while helping define what "observability" means for the next generation of AI-driven products? Do you want to work alongside world-class engineers building the platforms that make that possible? If so, we should talk. About the Role The Data Platform and Observability team is hiring a Senior or Mid-Level Software Engineer. We have a hybrid schedule — you'll collaborate with Workmates in the office while having the flexibility to work up to 50% remote. • Design, build, and improve critical observability services: Monitoring, Logging, Alerting, and Tracing. • Own distributed tracing end to end — instrumenting services, propagating context across service boundaries, and using trace data to understand system behavior and diagnose issues in complex, multi-hop request paths. • Build data capture and collection services using the latest technologies across multiple infrastructure types (Kubernetes, Docker, OpenStack, bare metal, etc.). • Design and develop core software modules for real-time and batch data processing. • Build metrics ingestion pipelines, alert definitions, and automation for dashboard lifecycle management. • Instrument AI-powered and automated workflows for performance, cost, and quality, including multi-step processes and tool/service orchestration. • Explore and apply AI-driven observa