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 debugging complex distributed systems.
- Coding: Proficiency in at least one of Java, TypeScript, Python, or Go for automation, tooling, and platform development; comfort with scripting and SQL.
- Communication & Leadership: Able to communicate technical concepts to technical and non-technical audiences, lead through influence, and mentor other engineers.
Helpful, but not required:- 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 (AWS194195GCP) integrations.
Compensation Range: $215,000 - $240,000
OfferUp offers a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. Individual salaries within our ranges are determined through a variety of factors, including but not limited to education, experience, knowledge, skills, and geography. All roles will receive equity in OfferUp as part of their compensation, the amount of equity varying depending on the individual's level and experience.
Benefits (all US roles): In addition to our compensation package, this role is eligible to enroll in health insurance, healthcare savings and spending accounts, retirement savings benefits (401(k) plan with match), basic and voluntary life insurance, disability benefits, and paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays. In regard to vacation time, OfferUp has a flexible vacation policy, and, in general, full-time, exempt employees will be expected to take 3-5 weeks (15-30 days) of pre-planned vacation time per year. Vacation needs are flexible and will naturally vary from year to year based on individual circumstances and business needs. In regard to sick time, all full-time employees (exempt and non-exempt) will be granted 12 days (96 hours) of sick time per year (pro-rated if the start date is other than January 1). Your recruiter can share more details about specific benefits during the interview process.
