Senior Full-Stack Engineer (Back-end)

PharmSight Inc.; Gurgaon; Remote; INR 1.800.000 - 2.800.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Flexible work environment

Global client exposure

Career growth & recognition

Zusammenfassung

PharmSight Inc. seeks a senior engineer to own services and data flows behind data-intensive products, designing systems that deliver trustworthy results under real workloads. You will work across the stack, with most time spent on backend architecture and implementation.

Primary focus: Node.js, Python, and data services; Working stack includes Node.js, Python, React, SQL, NoSQL, Snowflake. You will design APIs, data models, and scalable pipelines while ensuring security, observability, and cost

Qualifikationen

• Deep production experience with Node.js and Python, including API design, concurrency, background work, and service reliability.
• Strong SQL skills: data modeling, indexing, query analysis, and transaction design; practical NoSQL experience.
• Working knowledge of Snowflake for analytical data access, processing, or integration with application services.
• Ability to contribute confidently to a React and TypeScript application delivering features across API and UI boundaries.
• Experience with automated testing, CI/CD, cloud infrastructure, observability, and incident response.
• Sound judgment on security, performance, maintainability, and cost, with examples from systems you have operated.
• Familiarity with asynchronous messaging, API & Microservices Patterns and robust schema validation for Python-Node.js data contracts.
• Proven ability to build production pipelines leveraging LLMs and AI Integration & Evaluation Governance.

Aufgaben

• Design and implement APIs and application services in Node.js and Python, defining clear boundaries and contracts.
• Model operational data in SQL and NoSQL stores based on consistency, query, scale, and lifecycle needs.
• Design application access to Snowflake for analytics, considering query behavior, cost, data freshness, and separation of concerns.
• Build reliable ingestion, transformation, and background processing flows with retries, idempotency, and traceability.
• Set standards for authentication, authorization, data validation, secrets handling, and auditability.
• Diagnose performance bottlenecks across code, queries, and integrations; define service metrics and alerts.
• Deliver end-to-end features, including React changes when needed; own deployment and production behavior.
• Lead design discussions, review code, mentor engineers, and reduce architectural debt.

Kenntnisse

Node.js

Python

SQL

NoSQL

Snowflake

React

TypeScript

API design

Microservices

CI/CD

Cloud infrastructure

Observability

Incident response

Asynchronous messaging

Tools

Snowflake

Jobbeschreibung

PharmSight is a rapidly expanding strategic consulting firm, dedicated to propelling bio-pharmaceutical companies forward. We craft bespoke solutions tackling business challenges, specializing in comprehensive analytics for pharmaceutical product commercialization—from competitive intelligence and forecasting to launch strategies and marketing analytics.

• Competitive Compensation: Best-in-class salary with structured career progression
• Flexible Work Environment: Option to work from anywhere, at any time
• Global Client Exposure: Collaborate with leading pharmaceutical companies on impactful projects
• Career Growth & Recognition: A flat hierarchy with ample opportunities for leadership and professional development

Role Overview

Pharmsight is hiring a senior engineer to own the services and data flows behind data-intensive products. You will design systems that deliver trustworthy results to users, perform under real workloads, and can be operated and changed safely. You will work across the stack, with most of your time spent on backend architecture and implementation.

Primary focus:Node.js, Python, and data services

Working stack:Node.js, Python, React, SQL, NoSQL, Snowflake

Key Responsibilities

• Design and implement APIs and application services in Node.js and Python, choosing clear service boundaries and contracts.
• Model operational data in SQL and NoSQL stores based on consistency, query, scale, and lifecycle requirements.
• Design application access to Snowflake for analytical workloads, with attention to query behavior, cost, permissions, data freshness, and the separation of operational and analytical concerns.
• Build reliable ingestion, transformation, and background processing flows where the product requires them. Address retries, idempotency, failure recovery, and traceability.
• Set standards for authentication, authorization, data validation, secrets handling, and auditability.
• Diagnose performance bottlenecks across application code, database queries, and external integrations. Define useful service metrics and alerts.
• Deliver end-to-end features, including React changes where needed, and take responsibility for deployment and production behavior.
• Lead design discussions, review code, mentor engineers, and reduce operational or architectural debt.

Requirements

• Deep production experience with Node.js and Python, including API design, concurrency, background work, and service reliability.
• Strong SQLskills: data modeling, indexing, query analysis, and transaction design; practical experience with a NoSQL database and its trade-offs.
• Working knowledge of Snowflakefor analytical data access, processing, or integration with application services.
• Ability to contribute confidently to a React and TypeScriptapplication and deliver a feature across API and UI boundaries.
• Experience with automated testing, CI/CD, cloud infrastructure, observability, and incident response.
• Sound judgment on security, performance, maintainability, and cost, backed by examples from systems you have operated.
• Deep familiarity with asynchronous messaging, **API & Microservices Patterns ** and robust schema validation to secure data contracts between Python and Node.js services.
• Proven ability to build production pipelines leveraging LLMs and AI Integration & Evaluation Governance

AI expectations

You should know how to use AI coding tools without outsourcing engineering judgment. Experience integrating LLMs or other AI capabilities is valuable if you can discuss evaluation and failure handling in a production workflow.

How we will recognize a strong candidate

You can explain a system you designed and operated: its data model, failure modes, security boundaries, performance limits, monitoring, and the changes you made after seeing real usage.

Join Us

Join PharmSight and contribute to developing innovative software that transforms healthcare data into actionable insights. We provide a platform for innovation, collaboration, and the opportunity to make a significant impact on global health outcomes.