Senior Software Engineer(Python)

Senior Software Engineer with expertise in Python, Data Analytics, Graph Databases, and AWS, responsible for designing, building, and supporting scalable cloud-native backend services, APIs, and data-driven solutions.Responsibilities: -Design, build, and maintain backend services and APIs using Python (FastAPI, Flask, Django).Model and query complex relationships using Graph Databases such as Neo4j, Amazon Neptune, or similar.Architect, deploy, and operate cloud-native services on AWS (Lambda, EC2/ECS/EKS, API Gateway, S3, RDS/DynamoDB/Neptune, CloudWatch, IAM, etc.).Contribute to system design discussions, architectural reviews, and technical decision-making.Implement CI/CD pipelines, automation, observability (logging/metrics/tracing), and deployment best practices.Write scalable, clean, well-tested, and maintainable code.Collaborate closely with cross-functional teams including frontend, DevOps, and data/ML.Troubleshoot production issues and optimize performance, reliability, and cost.Mentor junior/mid-level engineers and promote engineering best practices.Skills: -Mandatory skillsExperience Strong expertise in Python backend development with hands-on experience in frameworks such as FastAPI, Flask, or Django for building scalable APIs and enterprise applications.Practical experience working with Graph Databases such as Neo4j, Amazon Neptune, or similar technologies, including graph data modeling and querying using Cypher, Gremlin, or SPARQL.Hands-on experience with AWS cloud services including compute, storage, networking, monitoring, identity, and database services such as Lambda, EC2, ECS/EKS, API Gateway, S3, RDS, DynamoDB, Neptune, CloudWatch, and IAM.Strong understanding of RESTful API design, microservices architecture, distributed systems, and event-driven application development.Experience working with both relational and NoSQL databases, including PostgreSQL and DynamoDB.Hands-on experience with source control, CI/CD workflows, Docker containers, automated testing frameworks, and deployment best practices.Strong debugging, performance optimization, troubleshooting, and system design capabilities.Experience working on Data Analytics solutions and data-driven application development