remote

Salary
Posted
Jul 25, 2026
Location
Last confirmed open
Jul 26, 2026

What this job asks for AI summary

A senior-level fullstack engineering role focused on designing and maintaining scalable web applications and platform services, spanning Node.js backends, React/TypeScript frontends, and cloud infrastructure. The position carries architectural responsibility — setting engineering standards, guiding technical decisions, and mentoring peers — while also involving hands-on delivery within cross-functional product teams. Prior experience leading engineering projects and working with data-intensive or AI-integrated systems is a plus.

Senior level · 8+ years

Must have (5)
Node.jsReactTypeScriptAWS, GCP or AzureCI/CD
Nice to have (3)
microservicesDocker or Kubernetesdistributed systems

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What won't set you apart
CI/CD45%Node.js40%React40%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $138,970 (middle half $107,524–$175,762).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (7)

Location is not specified in the posting; CBSA and state fields are left blank. The role is US-based (confirmed by the no-sponsorship note) but no city or remote status is stated.

The '8-10+ years' experience range is treated as a minimum of 8 years at the role level.

Cloud platform requirement lists AWS/GCP/Azure as interchangeable options; AWS is used as the primary with GCP and Azure as alternatives.

Containerization is mentioned under 'Familiarity with' (the softer qualifications paragraph), so Docker/Kubernetes is marked preferred rather than required.

Microservices and distributed systems also appear under the 'Familiarity with' qualifier and are marked preferred accordingly.

Experience with AI/ML systems and imagery/video pipelines is explicitly called a 'bonus' and is not captured as a named technology skill.

No compensation range is provided in the posting.

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