Sr Full-Stack Engineer (Back-end)

• 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.

• 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 experience with a NoSQL database and its trade-offs.

• Working knowledge of Snowflake for analytical data access, processing, or integration with application services.

• Ability to contribute confidently to a React and TypeScript application 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.

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

• 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

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.