We are looking for a contract Backend and UI Developer to help build and refine analytical, data-driven web applications and supporting infrastructure for a quantitative trading firm. This role is hands-on and implementation-driven, working with production microservices, databases, and automated workflows.
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
Reason about business logic as it relates to backend data transformations
Collaborate with front-end developers to design APIs that provide the necessary data to the UI
Make informed decisions about where certain pieces of business logic belong in the stack
Optimize query performance for large datasets and frequent updates
Debug issues related to job dependency management and data integrity
Implement and maintain CI/CD pipelines for backend services
Ensure system reliability through monitoring, logging, and alerting
Required Skills
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 designing and implementing RESTful APIs collaboratively with UI developers
Strong grasp of software engineering fundamentals including data structures, algorithms, and design patterns
Knowledge of code performance optimization and memory efficiency
Familiarity with message brokers and event-driven architectures (e.g., Kafka, RabbitMQ, or Pub/Sub)
Experience with version control (Git) including branching strategies, code reviews, and PR workflows
Understanding of authentication and authorization patterns (OAuth2, JWT, API keys)
Ability to work independently within an existing, complex codebase
Strong debugging and troubleshooting skills in distributed systems
Nice to Have
Experience with financial, trading, or analytical applications
Full proficiency handling time-series data as well as streaming/real-time data
Familiarity with market data from industry vendors such as Bloomberg, Factset, or Refinitiv
Experience with task scheduling and orchestration tools (Airflow, Prefect, or similar)
Focus on software testing and validation, including unit, integration, and performance testing
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)
Python, Pandas, NumPy, FastAPI, Microservices, RESTful APIs, SQL Server, PostgreSQL, MongoDB, SQL Server Stored Procedures, Docker, GCP, Kubernetes, Data Architecture, Design Patterns, Data Structures, Algorithms, Performance Optimization, Memory Optimization, Kafka, RabbitMQ, Pub/Sub, Git, OAuth2, JWT, API Keys, Distributed Systems, CI/CD, Monitoring, Logging, Alerting, Time-Series Data, Streaming Data, Real-Time Data, Bloomberg, FactSet, Refinitiv, Airflow, Prefect, Unit Testing, Integration Testing, Performance Testing, Redis, Memcached, Terraform, Helm, Kustomize, Prometheus, Grafana, ELK Stack