Senior Systems Engineer Tech Foundations

Remote · USD 164,000-193,000 · 5+ years experience · Remote · Posted Sep 29, 2026

At a glance

As a Senior Systems Engineer on the Content Products team, you will build the systems that power content management at Airbnb.
You will own major projects that span multiple workstreams, partnering with product, engineering, and content teams to meet evolving needs.

Deliver major projects end to end across the software development lifecycle, breaking work down and leading a small engineering pod.
Partner with content teams to map and improve authoring workflows, translating them into technical requirements including reporting and AI-assisted features.
Own the authoring platform, extending enterprise headless CMS Contentstack with custom UI extensions and authoring apps in React.
Design systems that satisfy functional requirements and the -ilities including reliability, security, maintainability, and observability.
Raise the technical bar by deprecating or improving low-quality code, services, and frameworks while giving constructive design and code review input.
Document technical solutions clearly, surfacing benefits, risks, and tradeoffs while incorporating peer review.
Coach and mentor engineers, give actionable feedback, onboard team members, and contribute to interviewing and the technical community.
Work in an agent-assisted development loop by directing AI agents to explore systems, prototype solutions, and generate or review code.

5+ years designing and implementing complex systems end to end in integrated enterprise environments.
Proven experience building and maintaining custom author-facing tools, workflows, automations, and integrations in an enterprise headless CMS.
A track record of owning delivery on projects that span multiple workstreams, including work that began without a clear definition.
Depth in front-end and back-end development, preferably with TypeScript, React, and Node.js.
Strong working knowledge of large-scale content data analysis, bulk updates, and reporting, including processing large volumes of data efficiently.
Demonstrated ability to build and operate high-performance, scalable, and fault-tolerant internal tooling.
Fluency with agentic development workflows, directing AI agents to explore, prototype, implement, and review.
Clear technical writing skills demonstrated through design documents that make benefits, risks, and tradeoffs explicit.
Experience mentoring engineers and giving actionable feedback.
Ability to drive alignment, manage projects, and collaborate effectively with technical and non-technical stakeholders.

Experience working with structured data in enterprise taxonomy or knowledge graph platforms.
Familiarity with architectural patterns of large, high-scale web applications such as well-designed APIs, high-volume data pipelines, and efficient algorithms.
Experience with modern reporting or analytics platforms such as Tableau or Grafana.
BS, MS, or PhD in Computer Science or a related field