Senior SDE – Full Stack, Backend Heavy

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

☁️ SaaS

💰 Series A on 2021-11

Consulting • Logistics • SaaS

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Lead the technical design and implementation of backend-heavy features powering industry solutions • Evaluate architectural trade-offs across APIs, data models, integrations, and event-driven systems • Build scalable APIs and business logic using Node.js/NestJS with Firestore, PostgreSQL, Elasticsearch, and Redis • Use GCP tools including Cloud Tasks, Cloud Scheduler, Pub/Sub, and Cloud Functions to build event-driven infrastructure • Build integrations with industry systems of record, including sync, webhooks, and error recovery • Own technical initiatives and contribute to reusable configurable industry models, templates, and automation packs • Own the full development lifecycle from API design and data modeling through testing, deployment, and maintenance • Collaborate with core platform and app teams on extension points • Help meet industry-specific data privacy, consent, and audit trail requirements • Mentor engineers through code reviews, design discussions, and technical guidance

🎯 Requirements

• 5+ years of software engineering experience with a strong focus on backend systems and API design • Deep expertise in Node.js/NestJS, TypeScript, and distributed systems fundamentals • Experience with both SQL and NoSQL databases at scale • Ability to work end-to-end across the stack, especially owning backend complexity and integrating with UI components • Solid understanding of async workflows, queues, background jobs, webhooks, and system state transitions • Experience integrating with third-party APIs, including auth flows, rate limits, data mapping, and sync reliability • Familiarity with GCP services or willingness to get hands-on with them • Openness to using AI tools such as Cursor, GitHub Copilot, and Claude Code • Strong debugging and system design skills • Ability to navigate technical ambiguity, anticipate edge cases and downstream implications, and make pragmatic architectural decisions • Curiosity about how different industries work and comfort learning from non-technical domain experts

🏖️ Benefits

• Global, remote-first organization • Opportunity to work with domain experts across healthcare, real estate, automotive, home services, fitness, and professional services • High-leverage team environment • Product-oriented engineering and pragmatic engineering culture • Use of AI tools to build smarter and improve productivity