Key Responsibilities

• Architect, develop, and maintain scalable backend services and REST/async APIs
• Build robust, fault-tolerant distributed systems with low latency and high throughput
• Lead technical design discussions, architecture reviews, and code reviews
• Develop and deploy Operations Research models into production systems
• Handle full software lifecycle: requirement analysis, development, CI/CD, monitoring, and incident response
• Maintain containerized cloud-native apps on Azure using Infrastructure-as-Code (Terraform, Bicep)
• Own performance tuning, debugging, and system observability
• Mentor junior engineers, drive knowledge sharing, and influence technical hiring

Technical Skills

Programming & Languages

• Strong in Python
• Deep understanding of data structures, algorithms, and time/space complexity
• Writes clean, testable, production-ready code

System Design & Architecture

• Skilled in designing horizontally scalable, fault-tolerant systems
• Proficient in HLD, database schema design, API contracts, and distributed architecture
• Strong grasp of CAP theorem, eventual consistency, idempotency, and backpressure

Backend Development

• Expert in building RESTful and asynchronous APIs using Flask, FastAPI, or similar frameworks
• Skilled in microservices, monolith decomposition, and service orchestration
• Familiar with message brokers like Apache Kafka, RabbitMQ, Redis Streams and async queues like Celery

Cloud & DevOps

• Proficient in Azure (preferred) or other cloud platforms like AWS or GCP
• Familiar with Infrastructure as Code (IaC) tools like Terraform
• Experience with CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins
• Comfortable with Docker, and working knowledge of Kubernetes or Azure Container Apps

Data Handling

• Experience with data validation and schema modeling (e.g., Pydantic, Marshmallow)
• Expertise in handling Excel, CSV, and database ingestion/egress at scale
• Familiar with OLTP/OLAP systems, SQL, NoSQL, and graph databases (e.g., PostgreSQL, MongoDB, CosmosDB, Neo4j)

Observability & Optimization

• Skilled in performance tuning, profiling, and bottleneck resolution
• Experience with observability stacks like Prometheus, Grafana, OpenTelemetry, or Azure Monitor
• Knowledge of resilience patterns such as circuit breakers, bulkheads, timeouts, and retry mechanisms

Security & Authorization

• Designed and implemented auth layers using OAuth2, JWT, and RBAC
• Experience building plug-and-play auth middleware for legacy integration

Operations Research in Production

• Developed and deployed Operations Research models in real-world production environments
• Integrated optimization/forecasting models with backend APIs for real-time and batch processing