Python Full Stack Engineer (For a Product Client)

Immediate Joiner

Job Title: Python Full Stack Engineer

Location: Noida, Film City Sector 16A

Budget: Upto 35LPA

Position Overview:

Role:

Core Engineering & Integration Development

510 years of strong, hands-on technical experience in software engineering with a primary focus on system and enterprise integrations. Experience in developing an orchestration layer.

Proven expertise in backend development using Python and Node.js

Working knowledge of frontend frameworks such as React, Angular, or Vue, sufficient to support integration flows, dashboards, and UI-driven workflows.

Strong experience using GitHub for: o Branching strategies. o Code reviews and merges. o Release and version management

Solid understanding of API design principles, microservices architecture, and distributed systems. Good working knowledge of relational databases (PostgreSQL) and NoSQL databases, including schema design and performance tuning.

Strong troubleshooting skills with the ability to: o Identify root causes of integration failures o Diagnose performance bottlenecks, latency issues, and data inconsistencies o Debug issues across multiple systems and environments.

Enterprise Integration Expertise

Hands-on experience designing and implementing integrations using: o REST and GraphQL APIs o Webhooks and event-driven architectures o Message queues (Azure Service Bus

Strong understanding of synchronous vs asynchronous integration patterns, retries, idempotency, and failure handling.

DevOps & Cloud Enablement:

Strong experience containerizing and deploying applications using Docker and Kubernetes.

Hands-on experience setting up and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.

Practical experience working with Azure services at the API / SDK integration level.

Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.

Familiarity with monitoring, logging, and alerting tools to support production integrations.

AI / ML Integration Exposure (Good to have)

Experience integrating machine learning models into production applications via APIs or services. Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn (integration and deployment focus).

Understanding of: o Model deployment and inference pipelines o Versioning of models o Monitoring model performance and reliability in production

Why Join This Company?

Industry Leadership: Join a 14,000+ person organization with over a decade of insurance innovation

Full Integration: Work across the complete insurance value chain from brokers to reinsurers

Innovation Focus: Report directly to Digital Innovation leadership with dedicated transformation mandate

Data-Driven Culture: Build the data foundation for AI-powered insurance transformation

Global Impact: Design data solutions that serve our integrated ecosystem across U.S. and international markets

Growth Opportunity: Lead the India data expansion from startup to 100+ person operation