Jr./Sr. Python Azure Middleware Engineer

Position: Jr./Sr. Python Azure Middleware Engineer (SUCON) (TK310ST RM 4326)

Exp range : 5 to 8 Years : MANDATORY SKILLS : Azure, Docker, CI/CD, python, Microservices Architecture

Exp range : 8 to 10 Years : MANDATORY SKILLS : Azure, python, AWS, CI/CD, REST APIs, Docker & Kubernetes

Exp range : 3 to 5 Years : MANDATORY SKILLS : Ai/ml, Python, CI/CD, Kuberneties, Docker, Azure, Microservices Architecture

Qualification : Bachelor s/Master s Degree in Computer Science, IT, Engineering, or related field.

Experience Required : 3-10 Years in Cloud Application Development using Azure and Python.

PREFERRED SKILLS
Exposure to Automotive domain projects and workflows.&Experience with messaging and event-streaming platforms such as Kafka, RabbitMQ, or Azure Service Bus.&Experience with observability and monitoring tools such as Prometheus, Grafana, Datadog, or Azure Monitor.&Familiarity with logging platforms such as ELK Stack (Elasticsearch, Logstash, Kibana).&Knowledge of cloud security, authentication, authorization, encryption, network security, and secure coding practices.

Mandatory Skills

• Python (FastAPI / Flask / Django)
• Microsoft Azure (Azure Functions, APIM, AKS, Container Apps, Service Bus, Blob Storage, Key Vault)
• PostgreSQL (Schema Design, Query Optimization, Performance Tuning)
• REST API Development
• Docker & Kubernetes (AKS)
• Microservices Architecture
• CI/CD (Azure DevOps / GitHub Actions)
• ReactJS Integration
• Distributed Systems & Scalability
• AI-Assisted Development Tools

Key Responsibilities

• Develop and maintain Python-based middleware services on Azure.
• Build scalable REST APIs integrating ReactJS applications with PostgreSQL databases.
• Design and optimize PostgreSQL databases for performance and reliability.
• Deploy and manage containerized applications using Docker and AKS.
• Implement CI/CD pipelines and cloud-native best practices.
• Monitor, troubleshoot, and optimize production applications.
• Collaborate with cross-functional teams to deliver scalable enterprise solutions.
• Leverage AI tools for development, testing, documentation, and productivity improvements.