Jobs / United States / Pure Storage INC
Software Engineer
Pure Storage INC · 🇺🇸 Santa Clara, California
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 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Mar 2026) — the step every H-1B hire needs first. USCIS also records 67 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 Pure Storage INC paid sponsored hires in similar roles3 certified filings for “Member of Technical Staff (Software Engineer)” (Information Technology Project Managers) in CA: $223k–$250k, median $250k. Most were filed at wage level IV (100%) — 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.
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Sponsor Radar — Pure Storage INC
The US Department of Labor certified 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Mar 2026) — the step every H-1B hire needs first. USCIS also records 67 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 Pure Storage INC →
About the role
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms. WHAT YOU'LL DO • Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines. • Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior. • Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture. • Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate. • Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking. • Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes. • Apply strong security best practices, including access control, data protection, audit logging, and secure API design. • Ensure strong observability, monitoring, and reliability of AI-driven services in production. • We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING • 3–6 years of professional software engineering experience building backend or distributed systems. • Strong proficiency in Python and developing RESTful APIs. • Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations. • Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques. • Experience deploying and operating applications in AWS cloud environments. • Experience implementing AI guardrails, model validation techniques, and production monitoring. • Solid understanding of cloud-native security practices and secure system design. Preferred Qualifications • Experience with multi-agent orchestration frameworks or AI tool integration patterns. • Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar. • Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes. • Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems. • Familiarity with observability tools such as Datadog, Prometheus, or similar platforms. #LI-ONSITE #LI-TH3 Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locat