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Posted 3 days ago
Senior Full stack engineer
Pynea
📍 London
Recruitment
Job description
<p>Pynea is an AI hiring intelligence system built around evidence, not impressions: real capability in context, not past credentials, with a candidate experience designed to show more than a CV.</p><p>Most hiring systems turn people into data: scanned, skimmed, forgotten. We’re building the opposite. A voice-first, challenge-led application journey that feels like a conversation from the start, and gives hirers signal they can trust.</p><p>We’re in full build mode towards launch, and we operate like a top-tier creative engineering studio: small team, high taste, high ownership, low bureaucracy.</p><p>We’re hiring a Senior Fullstack engineer to build the enterprise backbone that makes all of this possible: high-concurrency APIs, event-driven systems, and reliability foundations that turn messy hiring inputs into trusted signal, fast, secure, GDPR-safe, and ready to scale.</p><p><br><br>The information below covers the role requirements, expected candidate experience, and accompanying qualifications.<br></p><p><strong>The role (what you own)</strong></p><p>You’ll own the enterprise backbone across a few high-impact areas:</p><p><br></p><p><strong>Enterprise-grade architecture</strong></p><p>Standardised patterns from intake → build → QA → deploy → measure. Secure by default, GDPR-safe, compliance-ready.</p><p><br></p><p><strong>Full-stack workflow automation</strong></p><p>Scalable GraphQL APIs, integrations, event-driven systems, monitoring/logging, error handling, and documentation that scales beyond you.</p><p><br></p><p><strong>What you’ll build (real scope)</strong></p><ul><li>High-concurrency APIs and reliability mechanisms (retries, idempotency, queues)</li><li>Event-driven systems that don’t drop data</li><li>Dashboards/reporting surfaces that remain consistent under load</li><li>Cloud-ready architecture across GCP (with minimal AWS for asset management)</li><li>Systems designed to ship fast, stay robust, and scale cleanly</li></ul><p><br></p><p><strong>What success looks like</strong></p><ul><li>Features ship fast without hacks</li><li>The system scales from 10 → 10,000+ users with confidence</li><li>Reliability is visible: monitoring, alerts, error tracking, runbooks</li><li>Security is default: permissions, audit trails, GDPR-safe practices</li><li>Clear scoreboard: uptime, latency, error rates, queue health, enterprise readiness metrics</li><li>AI is applied with taste and rigour: you help us ship AI-powered capabilities that are measurable, monitored, and safe, not magical or brittle</li><li>You’re a visionary when it comes to AI and its impact on modern engineering: you bring new ideas and practical patterns that raise delivery speed and quality without compromising correctness</li></ul><p><br></p><p><strong>Who thrives here</strong></p><p>You dive in and help debug issues collaboratively. You ship production-grade systems quickly. You make sharp trade-offs without sacrificing reliability. You communicate crisply async (short Looms, diagrams, notes). You enjoy building enterprise systems that teams can depend on.</p><p>You’re AI-native in practice. You’re curious enough to explore what’s possible and disciplined enough to ship what’s reliable. You can build AI into the product in a production-safe way (guardrails, evals, monitoring, failure modes), and you bring a strong point of view on how AI should reshape the engineering workflow, raising speed and quality without sacrificing correctness. xwzovoh </p><p><br></p><p><strong>Must-haves</strong></p><ul><li>NodeJS, GraphQL (NestJS), PostgresSQL</li><li>Data structures</li><li>OOP principles</li><li>Understanding of complexity principles and correct approaches</li><li>Experience with AI and LLMs (including but not limited to Gemini)</li><li>Strong analytical and problem-solving skills in a fast-changing environment</li><li>Reliability mindset: monitoring, logging, retries, QA, incident-aware design</li><li>Comfortable operating in a sprint with incomplete context and tight deadlines</li><li>Experience in GCP, Prisma and terraform</li></ul><p><br></p><p><strong>Additional Skills</strong></p><ul><li><strong>Code quality & maintainability</strong>Writes readable, consistent, and well-structured code</li><li>Understands trade-offs between speed of delivery and long-term maintainability</li><li>Comfortable working in a shared codebase with established guidelines</li><li><strong>Testing mindset</strong>Understands the value of unit, e2e, and regression tests to minimise disruption to the frontend apps</li><li>Writes testable code and doesn’t rely solely on manual testing</li><li><strong>Collaboration & ownership</strong>Can work closely with frontend, product, and design teams</li><li>Takes ownership of features end-to-end</li><li>Comfortable giving and receiving code reviews</li></ul><p><br></p><p><strong>Ready to apply?</strong></p><p>If this sounds like the kind of challenge you’re up for, apply now. We look forward to hearing from you.</p>