Senior Software Development Engineer - Backend Architecture

Senior Backend EngineerWhat You'll Do :- Build and scale the core backend and infrastructure powering a customer feedback intelligence platform - owning systems from data ingestion through real-time analytics.- Harden ML and NLP infrastructure, including pipelines, model serving, and data flows, so features remain reliable in real-world production environments at scale.- Own critical infrastructure decisions around data models, event flows, and service boundaries, with strong correctness and data-integrity guarantees.- Instrument systems deeply for observability, ensuring failures surface early and production behavior becomes a source of continuous learning.- Balance speed, cost, and long-term system health, making pragmatic, cost-effective trade-offs while shipping continuously.- Partner closely with Product, Design, and the founding team to turn ambiguous problem statements into clear, scalable infrastructure.- Raise the engineering bar through clean code, thorough design reviews, mentorship, and platform-level improvements.What It Takes :- 6-8 years of software engineering experience, with a proven track record of building and shipping reliable systems in production.- 3+ years at a single organization where you've built infrastructure from the ground up and owned complex projects end to end.- Deep expertise in infrastructure, including data pipelines, event-driven and microservices architectures, observability, reliability, and cost optimization.Tech Stack :-serverless computing, SQL/NoSQL databases, Elasticsearch, or GraphQL.Bonus :- Experience building or operating ML/NLP infrastructure such as data pipelines, model serving, feature stores, or inference systems.Why This Opportunity :- High Impact : Build foundational backend and infrastructure systems at an early-stage, high-growth technology company.- Ownership : Take end-to-end responsibility for critical features, systems, and infrastructure.- Complex Challenges : Work across ML/NLP infrastructure, distributed systems, data pipelines, and real-time analytics.- Growth : Deepen your technical expertise while having the opportunity to grow into a technical leadership path.- Culture : Work in an open, collaborative, and values-driven environment with significant autonomy.- Benefits : Competitive compensation, equity, hybrid work setup, premium healthcare, and more.