Member of Technical Staff, Core Product

enterpret; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work setup

Equity

Health insurance

Job summary

Enterpret seeks a senior backend infrastructure engineer to own and scale the core backend that powers our customer feedback intelligence platform. You will own data ingestion through real-time analytics, harden ML/NLP pipelines, and drive reliable data models and service boundaries with strong observability.

The role emphasizes end-to-end ownership, mentorship, and collaboration with Product and Design to shape platform direction while balancing speed and long-term system health.

Qualifications

• 6-8 years in software engineering with a track record of shipping reliable systems.
• 3+ years at one organization building infrastructure end-to-end.
• Deep expertise in data pipelines, event-driven/microservices architectures, and observability.
• Hands-on depth in at least one relevant tech stack (Golang, serverless, SQL/NoSQL, ElasticSearch, GraphQL).
• Bonus: experience with ML/NLP infra such as pipelines or model-serving.

Responsibilities

• Build and scale backend and infrastructure powering the customer feedback intelligence platform, from data ingestion to real-time analytics.
• Harden ML/NLP infrastructure, including pipelines, model-serving, and data flows for production reliability.
• Make architecture decisions around data models and service boundaries with strong data integrity guarantees.
• Instrument systems for observability to surface failures early and learn from production behavior.
• Collaborate with Product, Design, and leadership to translate ambiguous problems into concrete platform improvements and directions.

Skills

Golang

Serverless computing

SQL/NoSQL

ElasticSearch

GraphQL

ML/NLP infra

Observability

Mentoring

Tools

Golang

Serverless

SQL/NoSQL

ElasticSearch

GraphQL

Job description

About Enterpret

At Enterpret, we are building the platform that unlocks the most impactful dataset for any business - customer feedback. We solve complex problems across natural language processing, serverless computing, and analytics on the frontend, pushing the envelope of what's possible by applying first-principle thinking. Investors like Kleiner Perkins and Sequoia Capital share our conviction, and respected product development teams at companies like Canva, Notion, Samsung, and Loom rely on us to understand and act on the voice of their customers. We love working with folks who are resourceful, thrive in ambiguity, and display a strong sense of ownership. Our engineering culture is built around leveraging and contributing to open-source tools. We aim to build upon and improve state-of-the-art systems in our field of work. Read more about our team, core values, and operating principles - here .

What You'll Do

• Build and scale the core backend and infrastructure that powers our customer feedback intelligence platform - owning systems from data ingestion through real-time analytics.
• Harden the ML and NLP infrastructure - pipelines, model-serving, and data flows - so features stay reliable in real customer 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, so failures surface early and production behavior becomes something the team learns from.
• Balance speed, cost, and long-term system health , making pragmatic cost-effective and scalable trade-offs while shipping continuously.
• Partner with Product, Design, and the founding team to turn ambiguous problem statements into clear infrastructure, and contribute directly to product direction.
• Raise the bar on the systems you own through clean code, thorough design reviews, and mentorship - and propose platform-level improvements where you spot leverage.

What It Takes

• 6-8 years in software engineering, with a proven record of building and shipping reliable systems in production.
• 3+ years at one organization where you've built infrastructure from scratch and owned complex projects end to end, from problem framing to production impact.
• Deep expertise in infrastructure - not just distributed systems : data pipelines, event-driven/microservices architectures, and the operational backbone (observability, reliability, cost) that keeps them healthy in production.
• Hands-on depth in at least one of Golang, serverless computing, SQL/NoSQL, ElasticSearch, or GraphQL, and the range to go deep when things break. Bonus: experience building or operating ML/NLP infrastructure such as pipelines, model-serving, or feature stores.
• Strong systems thinking and engineering judgment : you reason clearly about data models, boundaries, and failure modes, and you know when to move fast and when to slow down.
• A track record of mentoring and collaborating - raising the bar through code, reviews, and cross-functional partnership with Product and Design.
• Comfort operating in ambiguity , making sound decisions with incomplete information, with a bias toward action and continuous learning.

Why Enterpret?

• High Impact: Build the foundational backend and infrastructure at an early-stage startup where every line of code matters.
• Ownership: End-to-end responsibility for features and systems.
• Complex Challenges: Work on state-of-the-art ML/NLP infrastructure, distributed systems, and real-time analytics at production scale.
• Growth: Learn and grow with a high-caliber team and expand into deep technical expertise or a tech-lead path.
• Culture: Open, collaborative, and values-driven environment with autonomy.

Benefits

• Competitive salary, equity, hybrid work setup, premium healthcare, and more.

What We Value

At Enterpret, we operate with a deep sense of ownership - we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.

Equal Opportunities

We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.