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Senior Fullstack Engineer

About the Role

We're seeking an experienced Senior Fullstack Engineer to drive the evolution from a monolithic single-server architecture to a scalable, distributed system while maintaining and enhancing our data-intensive analytics platform that helps biotech companies optimize drug development portfolios through Monte Carlo simulations and sensitivity analyses.

Tech Stack

  • Backend: Python, Flask, SQLAlchemy, NumPy/Pandas/SciPy
  • Frontend: React, Material-UI, TypeScript, Plotly/Recharts
  • Database: MariaDB, with plans for PostgreSQL and Redis
  • Infrastructure: Docker, Terraform, AWS (EC2, S3, ECR), Cloudflare
  • Target Stack: Celery, Redis, FastAPI, Kubernetes/ECS

 

Key Responsibilities

Architecture & Scaling (40%)

  • Lead migration from synchronous Flask to async processing with Celery/Redis
  • Design and implement horizontal scaling strategy with load balancing
  • Architect transition from file-based to distributed state management
  • Implement proper caching layers and database replication
  • Establish WebSocket connections for real-time analysis updates

 

Development & Features (30%)

  • Build integrated analytics database system for biopharma benchmarking data
  • Develop RESTful and GraphQL APIs for complex data operations
  • Implement advanced Monte Carlo simulation optimizations
  • Create real-time collaborative features for portfolio planning
  • Enhance React frontend with better state management

 

Quality & Testing (20%)

  • Establish comprehensive testing framework (pytest, Jest, React Testing Library)
  • Implement CI/CD pipelines with automated testing and deployment
  • Set up monitoring and observability
  • Conduct code reviews and establish coding standards

 

Mentorship & Leadership (10%)

  • Mentor junior engineers on best practices and architecture patterns
  • Lead technical design discussions and document architectural decisions
  • Collaborate with stakeholders to translate business needs into technical solutions

 

Required Qualifications

  • 5+ years of fullstack development experience
  • Strong Python backend development (Flask/FastAPI)
  • Production React experience with modern patterns (hooks, context, TypeScript)
  • Experience scaling applications from monolith to microservices
  • Proficiency with SQL databases and query optimization
  • Experience with Docker, cloud deployment (AWS preferred), and IaC tools
  • Strong understanding of async programming and distributed systems
  • Experience with data-intensive applications and scientific computing

 

Preferred Qualifications

  • Experience in pharmaceutical, biotech, or financial analytics domains
  • Knowledge of statistical modeling and Monte Carlo methods
  • Experience with Terraform and Kubernetes
  • Familiarity with data visualization libraries (Plotly, ReCharts)
  • Experience implementing RAG systems or LLM integrations
  • Background in building multi-tenant SaaS platforms

 

What You'll Achieve

  • Year 1: Lead architecture modernization, implement testing framework, deploy horizontal scaling
  • Year 2: Launch integrated analytics database, achieve 10x performance improvement
  • Build a platform handling 100+ concurrent users and million-point simulationsll benefit patients with a group of people with whom you’ll genuinely enjoy spending the day.

 

QLS Advisors LLC is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We do not tolerate any kind of discrimination or bias. QLS Advisors LLC does not accept unsolicited submissions from third parties.