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a-place-for-mom

a-place-for-mom - Staff Software Engineer – Web

Remote - USA2d ago
RemoteStaffNASenior CareCloud ComputingStaff EngineerSoftware EngineerSEOProduct MarketingReportingJavaScriptNode.jsReactTypeScriptNext.jsMongoDBGraphQLHeadless CMSAWSData QualitySegmentGitHub ActionsBack-endGeminiClaudeVercelConversion Rate OptimizationMentoringDocumentation

Requirements

• This position reports to the Senior Manager of Engineering – Web. You'll partner closely with product, design, marketing, and SEO stakeholders, and collaborate with peer engineering teams across the company. • 10+ years of software engineering with JavaScript/TypeScript, React, and Node.js, including high-traffic public websites • Deep expertise in Next.js (or a similar framework) and rendering strategies—SSR, SSG/ISR, CSR, hydration, and streaming—and their impact on SEO, performance, and cost • Proven track record improving Core Web Vitals and mobile performance using tools like Lighthouse, CrUX, and real-user monitoring • Strong technical SEO knowledge, including how JavaScript rendering affects search engines • Working back-end knowledge: Node.js APIs and services, MongoDB, and relational databases (GraphQL a plus) • Understanding of headless CMS concepts: content modeling, preview, and publishing workflows • Understanding of experimentation, feature flagging, and product analytics: test design, flag lifecycle, event tracking, and data quality • Hands-on experience building LLM-backed features (prompt design, retrieval, structured output, evaluation, cost and latency management) and fluency with AI coding agents • Experience with AWS, CDNs, and edge caching • Strong communication skills: able to explain a technical vision simply to audiences at every level • Track record of technical leadership: setting standards, mentoring engineers, and owning quality from design to production • Our stack: TypeScript, React, Next.js, Node.js, GraphQL, MongoDB, Sanity, PostHog, Segment, AWS, GitHub Actions, and AI coding agents (Claude, Codex, Gemini). Hands-on experience with any of these is a plus, as is: • Programmatic SEO at scale, such as thousands of templated location or listing pages • SEM landing pages and conversion rate optimization • Edge rendering and middleware (Vercel, CloudFront, or similar) • Healthcare, senior care, or privacy-aware analytics and consent management

Responsibilities

• Lead the architecture of our Next.js and React web platform, choosing the right rendering strategy (SSR, SSG/ISR, CSR, streaming) for each page type • Own mobile-first performance and Core Web Vitals (LCP, INP, CLS): set budgets, monitor real users, and drive measurable gains • Partner with SEO and marketing on technical SEO: crawlability, indexation, structured data, canonicals, redirects, sitemaps, and SEM landing pages • Build Node.js services and APIs on MongoDB and relational stores, with caching at the edge and server layers • Evolve our headless CMS (Sanity) so content and marketing teams can ship pages without engineering bottlenecks • Build experimentation and analytics foundations: feature flags, A/B tests, SSR-safe flag evaluation, and a trustworthy event taxonomy (PostHog, Segment, or similar) • Champion quality and continuous deployment through testing (unit, integration, e2e), pipeline automation, and design system adoption • Review code, create reference implementations, and mentor engineers across the team • Resolve production issues end to end, from the browser through the CDN, rendering, and service layers, and prevent recurrence • Partner with product and project managers to deliver on time, and keep technical documentation current • AI solution architecture & standards: • Architect smaller AI features end to end—retrieval, orchestration, failure modes, and monitoring—such as AI-assisted search, content generation, or personalization on our site • Guide teams in responsible AI patterns, testing, and observability • Partner with Product to size the feasibility, technical risk, cost, and scalability of AI features • Identify repeatable frameworks and components that can become paved paths for other teams • Improve AI evaluation practices, including quality scoring, metrics, and fallbacks • Use AI coding agents in your daily workflow and help define how the team adopts them

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