We are hiring a senior scalability engineer to help prepare a modern microservices backend for high-concurrency production usage. This role is focused on backend performance, reliability, capacity planning, async workflow design, database scalability, and observability.

This is not a generic DevOps-only role. We are looking for someone who can reason deeply about how backend systems behave under load: database pressure, queue depth, retries, rate limits, stuck jobs, async workflows, API latency, and failure recovery.

Responsibilities
Analyze backend architecture and identify scalability bottlenecks across APIs, services, database, cache, queues, storage, and third-party integrations.
Design and execute load tests for high-concurrency user flows.
Tune Postgres queries, indexes, connection pools, pagination, and transaction patterns.
Design reliable queue/background-job systems with retries, idempotency, dead-letter queues, and reconciliation jobs.
Define observability for scale: metrics, dashboards, request IDs, error tracking, alerts, and stuck-state monitoring.




Improve reliability of webhook-driven and async processing workflows.
Partner with backend engineers to implement code-level and architecture-level scalability improvements.
Recommend infrastructure and autoscaling changes based on measured bottlenecks.

Required Skills
4+ years of backend, platform, SRE, performance engineering, or scalability engineering experience.
In-depth system design knowledge is of paramount importance.
Robust understanding of high-concurrency backend systems and distributed systems failure modes.
Deep Postgres experience: query plans, indexing, connection pools, slow queries, transaction design, and pagination.
Experience with Kafka, Redis, queues, background workers, retry/backoff, DLQs, and idempotent processing.
Hands-on load testing experience with k6, Artillery, Locust, JMeter, or similar.
Strong observability experience with logs, metrics, dashboards, alerting, and error tra

📌 AI Forward (India)
🏢 Sceneplay
📍 India