CirrusLabs - Senior .Net Engineer - ASP/C#
2 weeks ago
Experience : 7-8 years
Location : Bengaluru and Hyderabad
Back End : .NET 6 - 9 / C#, Python, Rabbit MQ
What you'll do :
- Own services in .NET 9/C# (ASP.NET Core, minimal APIs, background workers; SignalR where needed).
- Design robust schemas/queries in MSSQL and Postgres (migrations, indexing, execution plans, isolation levels, partitioning where sensible).
- Model and operate Apache Cassandra 5.0 (wide-column design, partition/clustering keys), including its vector search for embedding-driven features.
- Build clear REST APIs, idempotent workflows, back-pressure, and retry strategies; integrate RabbitMQ for messaging and async pipelines.
- Engineer for reliability : structured logging, meaningful metrics, health checks, rate limiting, circuit breakers, graceful degradation.
- Contribute to the React (JSX) console (forms, data grids, live streams). No design-heavy CSS work.
- Keep security tight : OIDC/JWT, RBAC, multi-tenant isolation, secrets management; work with Cloudflare for routing/WAF.
- Ship via Docker/containers and CI/CD (GitHub Actions); help finish our IaC-driven multi-cloud rollout (Azure, AWS, GCP; Terraform/Ansible/pulumi experience welcome).
Qualifications :
Must-haves :
years building production systems in .NET (8/9)/C#, owning APIs and data layers end-to-end.
- Deep SQL skills across MSSQL + Postgres : schema design, performance profiling, query tuning, reading plans.
- Real-world distributed systems judgment : concurrency, transactions, consistency trade-offs, back-pressure, idempotency, and failure modes.
- Hands-on with RabbitMQ.
- Comfortable in React (JSX) to build and iterate on internal/admin UIs.
- CI/CD and Docker fundamentals; IaC mindset; ability to reason about cost/performance in multi-cloud environments.
- Clear communication, thoughtful PRs, strong testing discipline, and strong system design skills and design patterns.
Nice-to-haves :
- Experience with Cassandra (data modeling, partitioning, SAI/secondary indexes; bonus for vector search usage).
- SignalR, GraphQL; Memcached caching;
- Postgres RLS/partitioning/pgvector; MSSQL columnstore.
- Secrets management (e.g., Vault), Cloudflare (Zero Trust/WAF/Workers).
- Practical LLM/RAG integrations (pipelines, embeddings, vector stores).
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