Jobs / United States / Mongodb INC
Senior Site Reliability Engineer, Fleet Management
Mongodb INC · 🇺🇸 Austin; Boston; Chicago; Denver; Miami; New York City; San Francisco; Seattle; 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 93 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 30 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 Mongodb INC paid sponsored hires in similar roles29 certified filings for “Software Engineer” (Software Developers) in NY: $132k–$161k, median $132k. Most were filed at wage level II (41%) — 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 — Mongodb INC
The US Department of Labor certified 93 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 30 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 Mongodb INC →
About the role
Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model. This role can be based out of any MongoDB U.S. office or remotely within the United States. Responsibilities • Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB • Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems • Participate in a 24/7 on-call rotation to resolve critical issues • Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice You may be a good fit if you • Have 6+ years of experience in software development and operating distributed systems • Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests) • Have deep experience using and extending containerization technologies, preferably Kubernetes • Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS) • Possess a customer focused mindset, treating internal developers as your primary users • Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution • Prefer automation over manual processes ("allergic to ops work") • We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil Strong candidates may also have experience with • Designing and implementing secure, multi-tenant runtime environments from first principles • Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI • Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure • Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK) • Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups Special Requirement • Be a US Citizen About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying