Staff Engineer – Distributed Systems

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🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

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Logo of HighLevel

HighLevel

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

• Design, build, and scale backend systems and frontend interfaces powering the Threads & Composer experience inside HighLevel Conversations • Own backend and API design, data flows, performance, reliability, throughput, and correctness at scale • Own the Vue 3 UI layer end-to-end • Maintain architecture health of a billion-scale distributed system, including failure modes, capacity limits, consistency guarantees, and interactions across 50+ deployments • Approve critical-path designs and make architecture decisions across teams • Proactively identify and fix single points of failure, unbounded queues, missing idempotency, thundering herds, and data-loss windows • Prototype risky architectural changes, remediate serious incidents, and pair on complex cross-team bugs • Build resilience through degradation strategies, backpressure, isolation boundaries, and capacity models supporting 10%+ month-over-month growth • Raise engineering standards through design reviews, post-mortems, and reusable patterns • Establish safe AI-assisted engineering practices for critical systems • Work with Node.js/TypeScript, Go, GKE, GCP Pub/Sub, Cloud Tasks, Redis, MongoDB, Firestore, ClickHouse, and Elasticsearch • Improve Workflows critical paths through ownership, capacity models, tested failure modes, and incident reduction

🎯 Requirements

• 10+ years of engineering experience with deep, hands-on ownership of large-scale distributed systems • Sole accountability for a production system through real failures • Deep command of queueing and asynchronous architectures, delivery semantics, ordering, backpressure, idempotency, exactly-once and at-least-once delivery • Strong knowledge of multiple SQL and NoSQL storage engines, consistency models, and indexing at scale • Expert-level depth in Redis or comparable in-memory systems, including failure modes under memory pressure and network partitions • Production experience with Kubernetes at scale, including resource limits, autoscaling behavior, and node-pool failures • Exceptional design communication through documentation, diagrams, and root-cause analyses • Fluency in Node.js and/or Go sufficient to prototype proposals and ship critical-path fixes • Comparable large-scale experience with hundreds of services or thousands of instances and billions of daily events strongly preferred • Experience with AI agents, GCP-native services, taking 0→1 systems to production, and hardening mature systems listed as bonus points

🏖️ Benefits

• Global, remote-first organization • Equal Opportunity Employer • Voluntary demographic information process; information kept separate from application and not used in hiring decision • Privacy Policy available for review

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