Staff Engineer – Distributed Systems

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, and scale backend systems and frontend interfaces that enhance the Threads & Composer experience within HighLevel Conversations.

• Take ownership of backend and API design, data flows, performance, reliability, throughput, and accuracy at scale.

• Manage the Vue 3 UI layer comprehensively.

• Ensure the architectural integrity of a billion-scale distributed system, focusing on failure modes, capacity constraints, consistency guarantees, and interactions across over 50 deployments.

• Approve critical-path designs and influence architectural decisions across various teams.

• Proactively identify and resolve single points of failure, unbounded queues, absent idempotency, thundering herds, and data-loss intervals.

• Prototype high-risk architectural modifications, address significant incidents, and collaborate on complex cross-team bugs.

• Foster resilience through degradation strategies, backpressure, isolation boundaries, and capacity models that support over 10% month-over-month growth.

• Elevate engineering standards through design reviews, post-mortems, and the development of reusable patterns.

• Establish secure AI-assisted engineering practices for essential systems.

• Work with technologies such as Node.js/TypeScript, Go, GKE, GCP Pub/Sub, Cloud Tasks, Redis, MongoDB, Firestore, ClickHouse, and Elasticsearch.

• Enhance critical workflow paths through ownership, capacity models, tested failure modes, and incident reduction.

⛳️ Requirements

• Over 10 years of engineering experience with extensive, hands-on ownership of large-scale distributed systems.

• Sole responsibility for a production system through actual failures.

• Profound understanding of queuing and asynchronous architectures, delivery semantics, ordering, backpressure, idempotency, and both exactly-once and at-least-once delivery methods.

• Strong expertise in various SQL and NoSQL storage engines, consistency models, and indexing at scale.

• Expert-level knowledge in Redis or similar in-memory systems, including failure modes under memory constraints and network partitions.

• Production experience with Kubernetes at scale, including resource limits, autoscaling behaviors, and node-pool failures.

• Exceptional design communication skills through documentation, diagrams, and root-cause analyses.

• Proficiency in Node.js and/or Go sufficient to prototype proposals and implement critical-path fixes.

• Comparable large-scale experience with hundreds of services or thousands of instances handling billions of daily events is strongly preferred.

• Experience with AI agents, GCP-native services, transitioning 0→1 systems to production, and fortifying mature systems is considered a bonus.

🏝️ Benefits

• Global, remote-first organization.

• Equal Opportunity Employer.

• Voluntary demographic information process; this information is kept separate from applications and not utilized in hiring decisions.

• Privacy Policy available for review.