About Role
We are seeking an SDE-3 Backend Builder to own the CRM Opportunities product end-to-end. Opportunities is the deal and pipeline engine at the heart of our CRM — the system of record for every revenue motion our customers run, from lead conversion to closed-won.
This role emphasises deep backend ownership: designing data models, APIs, and distributed workflows that power pipelines, stages, automations, reporting, and integrations at scale. You will operate with high autonomy, turning ambiguous problems into production systems, with enough frontend fluency to ship the occasional UI surface without waiting on anyone.
Own the full lifecycle of Opportunities backend: translate business and customer needs into scalable, production-grade services
Design and evolve the data model for pipelines, stages, deals, and associated entities — getting consistency, throughput, and query patterns right
Build and scale APIs, event-driven workflows, and background jobs that handle high-volume writes, automations, and integrations
Tackle distributed systems concerns: idempotency, eventual consistency, race conditions, hot tenants, and noisy-neighbor isolation
Improve performance and reliability of large pipelines (millions of opportunities per workspace) through indexing, sharding, caching, and query optimization
Ship end-to-end when needed — including UI changes in Vue — without blocking on cross-functional handoffs
Instrument the system: logs, metrics, traces, and SLOs that make production behavior legible
Drive incident response, postmortems, and the engineering hygiene that keeps a high-traffic product healthy
4+ years building and operating production backend systems at scale
Strong fundamentals in data modeling (SQL and NoSQL), API design, and distributed systems
Hands-on experience with Node.js or Go in production
Track record of owning services end-to-end — design, build, deploy, on-call
Comfort working independently in ambiguous problem spaces with high ownership
Solid grasp of scalability, performance, and reliability trade-offs
Experience building CRM, sales, pipeline, or workflow products
Worked on multi-tenant SaaS at scale (sharding, tenant isolation, fair-use limits)
Familiarity with event streaming (Kafka/Redis Streams), queues, and async processing
Exposure to MongoDB, Postgres, ElasticSearch, ClickHouse, or similar at non-trivial scale
Frontend fluency in Vue.js — enough to ship a feature without a frontend partner
Strong product instincts and a portfolio or GitHub of shipped work
Builds services that stay reliable as workspaces grow from thousands to millions of deals
Makes sound trade-offs between speed, quality, and long-term maintainability
Raises the bar on data correctness, API design, and operational excellence for the product
Continuously sharpens the customer experience through iteration and instrumentation