Back end developer

Job Description:

Years of Experience - 5.5+ years.

Location: Bengaluru, Pune, Gurugram.

Notice Period: Immediate / 15 -20 days.

Job purpose:

We are looking for a Backend Engineer 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 Mongo DB, SQL Server, and Postgre SQL 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

Key competencies:

Required Skills

Strong experience with Python (3.9+) and data manipulation libraries (Pandas, Num Py) Proficiency building microservices using Fast API or similar async frameworks Solid understanding of enterprise-level data architecture and design patterns Experience with both relational (SQL Server, Postgre SQL) and No SQL (Mongo DB) 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, Rabbit MQ, 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)