Sr Python Engineer

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.

Experience: - 8+ Years

Location: - Chicago, IL(Hybrid 3 days Onsite per week)

Educational Qualifications: -

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

• Experience 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

Good to Have Skills

• Experience with Go (Golang) for building microservices and backend tooling.
• Understanding of .NET-based applications and backend architecture patterns.
• Experience with Terraform and Infrastructure as Code for AWS deployments.
• Hands-on exposure to Kubernetes (EKS), Helm, and container orchestration platforms.
• Experience with messaging and streaming platforms such as Kafka, SQS/SNS, and Kinesis.
• Knowledge of cloud security, networking concepts, and AWS best practices.