Jobs / United States / Offerup INC

Offerup INC

Senior Cloud Engineer (Hybrid @ Bellevue, WA or Remote @ Florida)

Bellevue, WA or Remote Florida · Remote · US only Posted 16 days ago

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Skills this job asks for

CI/CDAWSGoogle CloudMachine learningTerraformKubernetesNetworkingJavaTypeScriptPythonSQL

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Where you can work from

United States only

Based on the listing's location: Bellevue, WA or Remote Florida.

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

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 1 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first.
  • 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.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 1 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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.

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.

About the role

Team Charter: The Cloud Engineering team is dedicated to maintaining and evolving cloud infrastructure, CI/CD pipelines, Application Security, Change Management, and Backend application golden templates. We are the backbone of the technical organization, ensuring the foundation of our services is robust, secure, and efficient. About the role: We are looking for a Senior Cloud Engineer to join our Cloud Engineering team. This team is tasked with ensuring scalability, reliability, and security for all backend services and keeping the SDLC running smoothly for engineers across the company. As a senior member of the team, you will own meaningful pieces of our cloud platform end-to-end — from design through deployment and operation — while helping shape the standards, tooling, and golden templates that the rest of the engineering organization builds on. You will balance deep, hands-on technical ownership with mentoring teammates and influencing the technical direction of the systems that power a large-scale mobile marketplace. What we love about this role: • Scale & Impact: You will work on systems that drive the end-user experience and support every technical team across the organization, operating across a multi-account AWS and GCP footprint. • Ownership: You will own critical infrastructure and platform capabilities end-to-end, making architectural decisions that affect reliability, security, and cost at scale. • Force Multiplier: The templates, pipelines, and tooling you build raise the productivity and safety of every engineer at OfferUp. • Emerging Technology: You will help bring new capabilities — including AI/ML developer tooling and infrastructure — into the hands of our engineers. In this role, you will design, build, and operate the cloud infrastructure, platform tooling, and CI/CD systems that underpin OfferUp's core applications. Day to day, that means you will: • Build cloud infrastructure as code — design, implement, and maintain AWS and GCP infrastructure with Terraform, optimizing for reliability, security, and cost. • Own our Kubernetes & GitOps platform — run and evolve EKS/GKE (cluster upgrades, Envoy/Gloo networking, Helm, ArgoCD delivery). • Keep the SDLC fast and safe — build CI/CD pipelines and developer workflows (GitHub Actions, monorepo tooling, JFrog Artifactory), and maintain the backend “golden templates” and shared libraries the wider org builds on. • Lead platform migrations end-to-end — plan, execute, and de-risk observability, data-store, Kubernetes, and multi-account migrations, including rollback strategy. • Drive operational excellence & security — own observability in Datadog and on-call, remediate CVEs, manage secrets and access controls (Cloudflare/ZTNA, Okta, SSO, Workload Identity Federation), and optimize cloud cost. • Multiply the team — enable AI/ML developer tooling (Amazon Bedrock, Claude, AI-assisted workflows), lead design and code reviews, set technical standards, mentor engineers, and partner with other teams. You'll thrive in this role if you have: • Experience & Education: 5–8 years in cloud engineering, infrastructure, platform, DevOps, or SRE roles; Bachelor's in Computer Science or a related field, or equivalent practical experience. • Cloud & Infrastructure as Code: Deep, hands-on AWS (ideally GCP) — EKS/GKE, Lambda, networking, IAM, S3, Kinesis, OpenSearch, Route53 — managed declaratively with Terraform at scale. • Containers & Delivery: Solid experience with Kubernetes (EKS/GKE), Helm, GitOps (ArgoCD), and CI/CD pipelines (GitHub Actions or similar) in a monorepo or multi-service environment. • Observability & Operations: Modern observability tooling (Datadog or similar) for metrics, logs, traces, and alerting; supporting production systems, on-call, and de

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