Software Development Engineer - Backend (Builder)
New
Listing location: IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- Backend DevelopmentNode.jsElasticSearchKafkaMongoDBVue.JsClickhouseGoPostgresCRMData modelingDistributed Systems
Requirements
- 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
Responsibilities
- 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
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