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

OfferUp•Bellevue, FL

20d•Hybrid

About The Position

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. In this role, you will design, build, and operate the cloud infrastructure, platform tooling, and CI/CD systems that underpin OfferUp's core applications.

Requirements

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.
Deep, hands-on AWS (ideally GCP) — EKS/GKE, Lambda, networking, IAM, S3, Kinesis, OpenSearch, Route53 — managed declaratively with Terraform at scale.
Solid experience with Kubernetes (EKS/GKE), Helm, GitOps (ArgoCD), and CI/CD pipelines (GitHub Actions or similar) in a monorepo or multi-service environment.
Modern observability tooling (Datadog or similar) for metrics, logs, traces, and alerting; supporting production systems, on-call, and debugging complex distributed systems.
Proficiency in at least one of Java, TypeScript, Python, or Go for automation, tooling, and platform development; comfort with scripting and SQL.
Able to communicate technical concepts to technical and non-technical audiences, lead through influence, and mentor other engineers.

Nice To Haves

Experience with edge and zero-trust networking (Cloudflare, Envoy/Gloo).
Experience operating data and streaming infrastructure (Kinesis, Flink, Redis/Valkey, Confluent/Kafka).
Experience enabling AI/ML infrastructure or developer tooling (Amazon Bedrock, SageMaker, or LLM-based developer workflows).
Experience with security and compliance practices, change management, and incident management at scale.
Experience with GCP Workload Identity Federation and cross-cloud (AWS↔GCP) integrations.

Responsibilities

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.