Backend Engineer - Python, AWS

Senior Software Engineer – Python & AWS

6–8 Years

• Agile Way of Working
  

• AWS Cloud Computing
  

• Data Architecture & Modeling
  

• Python (FastAPI / Flask)
  

• Microservices Architecture
  

  
  

We are seeking a Senior Software Engineer with strong hands-on experience in Python and AWS cloud services. The role focuses on developing scalable microservices, building cloud-native architectures, and optimizing system performance. The ideal candidate should bring deep technical expertise, DevOps knowledge, and leadership skills to mentor engineers and support Agile delivery.

• Develop and maintain scalable microservices using Python frameworks such as FastAPI or Flask.
  

• Design and implement RESTful APIs and backend services.
  

• Ensure high code quality through modular design, clean coding practices, and performance optimization.
  

Work extensively with AWS services including:

• AWS Lambda
  

• API Gateway
  

• EC2
  

• S3
  

• DynamoDB
  

• CloudWatch
  

• IAM
  

• ECS / EKS
  

Responsibilities include:

• Designing cloud-native architectures
  

• Implementing serverless and event-driven solutions
  

• Managing scalable and secure cloud infrastructure.
  

• Build and maintain CI/CD pipelines using GitHub Actions or Jenkins.
  

• Develop containerized applications using Docker.
  

• Deploy and orchestrate services using Kubernetes.
  

• Implement automated testing and deployment strategies.
  

• Apply modern architecture and design patterns.
  

• Conduct code reviews and enforce coding standards.
  

• Optimize application performance, reliability, and scalability.
  

• Provide technical leadership and mentoring to junior engineers.
  

• Participate in Agile ceremonies including planning, estimation, and retrospectives.
  

• Promote engineering best practices and cloud adoption.
  

  
  

• 10 years of software engineering experience with strong expertise in Python.
  

• Experience with FastAPI or Flask, microservices, and API development.
  

• Strong hands-on experience with AWS services including Lambda, API Gateway, EC2, S3, DynamoDB, CloudWatch, IAM, ECS/EKS.
  

• Experience with CI/CD tools such as GitHub Actions or Jenkins.
  

• Proficiency in Docker and Kubernetes.
  

• Experience with system architecture, performance tuning, and code reviews.
  

• Strong leadership, mentoring, and Agile delivery experience.
  

  
  

• Experience in Data Architecture and Data Modeling.
  

• Knowledge of Agile frameworks and cloud-native best practices.
  

• Experience building large-scale distributed systems.