Delivery Lead-Full Stack Developer

Acuity Analytics; Gurugram District; Presencial; INR 4.000.000 - 5.600.000; Jornada completa

Descripción de la vacante

Acuity Analytics in Gurugram is seeking a hands-on Full Stack Developer to build analytical, data‑driven web applications and supporting infrastructure for a quantitative trading environment.

The role spans front‑end and back‑end work across React apps, microservices, APIs, databases, and automated workflows. You will ensure high performance, reliability, and scalable client/server architectures.

Formación

• 7+ years of experience in software development.
• Strong experience with Python (3.9+) and data manipulation libraries (Pandas, NumPy).
• Proficiency building microservices using FastAPI or similar async frameworks.
• Solid understanding of enterprise‑level data architecture and design patterns.
• Experience with both relational (SQL Server, PostgreSQL) and NoSQL (MongoDB) databases.
• Good understanding of SQL Server stored procedures with the ability to alter or create them as needed.
• Working knowledge of containers (Docker) and cloud platforms (GCP/Kubernetes).
• Experience with version control (Git) including branching strategies, code reviews, and PR workflows.
• Knowledge of code performance optimization and memory efficiency.
• Strong experience with React and TypeScript.
• Clear understanding of client vs. server responsibilities in modern React apps.
• Experience building data‑heavy UIs (tables, charts, filters, dashboards).
• Solid command of Tailwind CSS and responsive design patterns.
• Comfortable working with asynchronous data flows and state management.
• Ability to reason about performance, memorization, and rendering efficiency
• Able to work independently in an existing, complex codebase

Responsabilidades

• Build and upgrade microservices and workflows written in Python/Pandas
• Design and maintain RESTful APIs that serve time-series and quantitative data
• Integrate with database storage across MongoDB, SQL Server, and PostgreSQL
• Implement and maintain CI/CD pipelines for backend services
• Building and maintaining UI components in React + TypeScript
• Developing data visualization and analytical interfaces (tables, charts, dashboards)
• Implementing responsive layouts and design systems using Tailwind CSS
• Working within applications that mix server‑side and client‑side logic
• Making informed decisions about what belongs on the client vs. the server
• Integrating UI with backend APIs that serve time-series and quantitative data
• Optimizing rendering performance for large datasets and frequent updates
• Debugging issues related to async data, re‑renders, and UI state consistency
• Ensure system reliability through monitoring, logging, and alerting

Conocimientos

Python

Pandas

NumPy

FastAPI

React

TypeScript

SQL Server

PostgreSQL

MongoDB

Docker

Kubernetes

Git

CI/CD

UI performance optimization

Tailwind CSS

Data visualization

Herramientas

FastAPI

Docker

Kubernetes

Git

SQL Server

PostgreSQL

MongoDB

React

TypeScript

Tailwind CSS

Descripción del empleo

Job Description:

Job Purpose

We are seeking a hands‑on, Full Stack Developer to help build and enhance analytical, data‑driven web applications and supporting infrastructure for a quantitative trading firm. This role spans both front‑end and back‑end development, working across production React applications, microservices, APIs, databases, and automated workflows. The ideal candidate has strong experience developing high‑performance, data‑intensive applications where scalability, responsiveness, reliability, and clean client/server architecture are critical.

Key Responsibilities

• Build and upgrade microservices and workflows written in Python/Pandas
• Design and maintain RESTful APIs that serve time-series and quantitative data
• Integrate with database storage across MongoDB, SQL Server, and PostgreSQL
• Implement and maintain CI/CD pipelines for backend services
• Building and maintaining UI components in React + TypeScript
• Developing data visualization and analytical interfaces (tables, charts, dashboards)
• Implementing responsive layouts and design systems using Tailwind CSS
• Working within applications that mix server‑side and client‑side logic
• Making informed decisions about what belongs on the client vs. the server
• Integrating UI with backend APIs that serve time-series and quantitative data
• Optimizing rendering performance for large datasets and frequent updates
• Debugging issues related to async data, re‑renders, and UI state consistency
• Ensure system reliability through monitoring, logging, and alerting

Key competencies

Required Skills

• 7+ years of experience in software development
• Strong experience with Python (3.9+) and data manipulation libraries (Pandas, NumPy)
• Proficiency building microservices using FastAPI or similar async frameworks
• Solid understanding of enterprise‑level data architecture and design patterns
• Experience with both relational (SQL Server, PostgreSQL) and NoSQL (MongoDB) databases
• Good understanding of SQL Server stored procedures with the ability to alter or create them as needed
• Working knowledge of containers (Docker) and cloud platforms (GCP/Kubernetes)
• Experience with version control (Git) including branching strategies, code reviews, and PR workflows
• Knowledge of code performance optimization and memory efficiency
• Strong experience with React and TypeScript
• Clear understanding of client vs. server responsibilities in modern React apps
• Experience building data‑heavy UIs (tables, charts, filters, dashboards)
• Solid command of Tailwind CSS and responsive design patterns
• Comfortable working with asynchronous data flows and state management
• Ability to reason about performance, memorization, and rendering efficiencyAble to work independently in an existing, complex codebase

Nice to Have

• Familiarity with market data from industry vendors such as Bloomberg, Factset, or Refinitiv
• Experience with task scheduling and orchestration tools (Airflow, Prefect, or similar)
• Knowledge of caching strategies (Redis, Memcached) for high‑throughput systems
• Exposure to infrastructure‑as‑code tools (Terraform, Helm, Kustomize)
• Experience with observability tools (Prometheus, Grafana, ELK stack, or similar)

Requirements: