Jobs / United States / Elasticsearch INC
Platform Engineer - Kubernetes
Elasticsearch INC · 🇺🇸 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 20 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 8 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 Elasticsearch INC paid sponsored hires in similar roles3 certified filings for “Principal Software Engineer I” (Software Developers) in WA: $277k–$299k, median $290k. 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 — Elasticsearch INC
The US Department of Labor certified 20 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 8 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 Elasticsearch INC →
About the role
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role? The role will be tasked with developing and maintaining our Application Hosting Infrastructure on Kubernetes in GCP. As a Platform Engineer, you will play a critical role in developing and maintaining our core application infrastructure that supports our business operations. You’ll be part of a small, focused team that prioritizes automation and security while engineering a robust platform for hosting internal applications. This position offers the chance to work with the latest technologies in an AI-forward environment, allowing you to contribute to impactful projects that drive our growth. What You Will Be Doing • Design scalable infrastructure solutions that meet the demands of our core applications. Implement infrastructure as code practices to automate and streamline processes. Monitor system performance, optimize resources, and integrate cloud services while troubleshooting and resolving any infrastructure issues that arise. • Implement CI/CD pipelines to streamline the software development lifecycle. Design and develop scalable build systems to ensure applications are delivered quickly and proficiently, matching the pace of business needs. • Ensure compliance with security regulations and best practices to protect application infrastructure. Collaborate with Infosec and other engineering teams to implement effective incident response and CVE remediation processes. • Collaborate with cross-functional teams to gather requirements for platform improvements. Provide technical support and guidance to internal users of the platform. Facilitate knowledge sharing sessions to educate team members on platform features and best practices. • Analyze cloud spending patterns to ensure cost optimization and implement financial governance policies for cloud resources. Identify opportunities for cost savings while enhancing operational efficiency. Regularly assess application usage to eliminate unused resources and maintain a proficient environment. What You Bring • Bachelor's degree in Computer Science or equivalent experience • 5+ years with infrastructure as code tools like Terraform or Crossplane • 5+ years with cloud service providers like AWS, Azure, or Google Cloud • Kubernetes and Cloud Native Associate or equivalent certification • Knowledge of service mesh architectures such as Istio or Linkerd • Hands-on experience with cloud security practices and tools • Experience with cost management tools for cloud infrastructure • Led cross-functional initiatives that improved platform usability and performance based on user feedback • Experience with Elasticsearch is a plus Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.