Software Development Engineer III (CRM - Opportunities)

What you will do:: 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

What you will need:: 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

What Success looks like:: Ships Opportunities features from idea to production with minimal cycle time 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

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