Original listing text, shown exactly as published by the company.
About the Role
We’re hiring a Senior Backend Engineer who is passionate about performance optimisation, distributed systems behaviour, runtime efficiency, and platform-level correctness. You won’t just tune endpoints—you’ll design systems and patterns that prevent slowness before it begins.
This is a hands-on engineering role with broad influence across services, architecture decisions, and operational standards. You will work with high-traffic systems, complex micro-services, and global workloads where milliseconds matter.
Responsibilities
- Improve performance and reduce latency:
- Come up with architectural planning for implementing new features around custom objects
- Diagnose and remove bottlenecks in backend services, APIs, and message flows
- Profile Node.js services (CPU, heap, event loop) and rewrite hot paths for efficiency
- Strengthen platform reliability:
- Improve resilience via batching, caching, pooling, concurrency controls, and backpressure
- Harden services against cascading failures and dependency slowness
- Establish rate-limiting, queueing, and circuit-breaker patterns that scale under load
- Optimize database queries, indexing strategies, denormalization, and read/write paths
- Collaborate on infrastructure & operations:
- Work with SRE and Infra teams on autoscaling, capacity planning, quotas, and workload efficiency
- Contribute to runtime configuration improvements (GKE, Node.js, Redis, Pub/Sub, Firestore, ClickHouse)
- Participate in performance incident reviews and drive actionable root-cause fixes
- Build long-lasting performance frameworks:
- Define best practices for high-performance microservices, distributed patterns, and observability
- Create reusable performance tooling, dashboards, and profiling workflows
- Mentor engineers on writing scalable code, interpreting metrics, and designing reliable services
Requirements
- 7+ years of backend engineering experience focused on large-scale systems.
- Strong experience with Node.js internals (event loop, memory model, async behavior)
- Proficiency in diagnosing performance issues using CPU/heap profilers, tracing, and metrics
- Solid understanding of Microservices, Distributed systems, High-throughput APIs, Caching strategies, Queuing/Backpressure patterns & Rate limiting/load balancing
- Experience with MongoDB, Postgres/MySQL, Firestore, Redis, ClickHouse, or similar DBs
- Familiarity with Kubernetes, GCP/AWS, and observability tooling (Grafana, Prometheus, OpenTelemetry)
- Possess strong communication skills & are able to explain bottlenecks clearly without finger-pointing
- A mindset that treats every millisecond, query, and allocation as something to optimize thoughtfully
Nice to Have
- Experience with high-traffic Node.js services serving millions of requests/hour.
- Familiarity with distributed tracing (OTel), tail sampling, RED/USE metrics, and SLO-driven engineering
- Experience preventing and mitigating cascading failures at scale…
