Senior Backend Engineer

What 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 :

- Golang, 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.