Senior Python AWS Developer

Agiliad LLC; Pune District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Agiliad LLC in Pune, India seeks a Senior Python AWS Developer with 5+ years of experience to design, build, and maintain scalable backend systems and microservices using modern Python frameworks. You will bridge application development with cloud infrastructure, emphasizing security, performance, and reliability.

Responsibilities include backend development with FastAPI/Flask/Django, AWS cloud architecture (Lambda, API Gateway, S3, RDS), RESTful APIs, CI/CD with Docker and IaC tools, and

Qualifications

• 5+ years of production-level Python development experience with strong OOP, data structures, and async programming.
• Hands-on AWS experience deploying and scaling enterprise systems, including serverless (Lambda) and containerized workflows.
• Solid understanding of relational databases (PostgreSQL/MySQL) and NoSQL data stores.
• Proficient in Git and standard CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).
• Familiar with cloud design patterns, security, and IaC principles.

Responsibilities

• Backend Development: design and build robust, efficient services using Python frameworks (FastAPI, Flask, Django).
• Cloud Architecture: design and manage AWS-based cloud-native solutions (EC2, Lambda, S3, RDS, DynamoDB, ECS/EKS).
• API Engineering: create secure, scalable RESTful APIs and event-driven microservices.
• CI/CD & Automation: implement deployment automation, containerization, and IaC.
• Database Optimization: optimize schemas, queries, and pools for SQL and NoSQL.
• Monitoring & Support: implement logging and tracing via CloudWatch, Datadog, etc.
• Team Collaboration: participate in code reviews, document, and mentor engineers.

Skills

Python Mastery

AWS Expertise

Databases

DevOps & Tools

Design Principles

Tools

Docker

Git

GitHub Actions

GitLab CI

Jenkins

Terraform

CloudFormation

Job description

Role Overview

We are seeking a highly skilled Senior Python AWS Developer with 5+ years of professional software engineering experience. In this role, you will design, develop, and maintain scalable, secure, high-performance backend systems and microservices. The ideal candidate has deep expertise in modern Python frameworks, paired with hands-on mastery of AWS cloud architecture. You will bridge the gap between application development and cloud infrastructure, driving automation, code quality, and technical excellence across our engineering team.

Key Responsibilities

• Backend Development: Design and build robust, testable, and efficient backend services using Python frameworks like FastAPI, Flask, or Django.
• Cloud Architecture: Design, implement, and manage cloud-native solutions using AWS infrastructure (EC2, Lambda, S3, RDS, DynamoDB, ECS/EKS).
• API Engineering: Build, secure, and optimize highly available, developer-friendly RESTful APIs and event-driven microservices.
• CI/CD & Automation: Implement deployment automation, containerization (Docker), and Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
• Database Optimization: Design and optimize schemas, queries, and connection pools for both relational (PostgreSQL, MySQL) and NoSQL databases.
• Monitoring & Support: Implement application logging, monitoring, and tracing via AWS CloudWatch, Datadog, or similar tools to provide L3 production support.
• Team Collaboration: Participate in code reviews, enforce engineering best practices, write technical documentation, and mentor junior engineers.

Required Skills & Qualifications

Technical Competencies

• Python Mastery: 5+ years of production-level Python development experience with a strong grasp of OOP, data structures, and asynchronous programming.
• AWS Expertise: Proven hands-on experience deploying and scaling enterprise systems on AWS, specifically serverless (Lambda, API Gateway) and containerized workflows.
• Databases: Solid understanding of relational SQL databases (PostgreSQL/MySQL) and familiarity with NoSQL data stores.
• DevOps & Tools: Strong proficiency with Git version control, Docker, and standard CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
• Design Principles: Familiarity with High-Level Design (HLD), Low-Level Design (LLD), system architecture patterns, and cloud security compliance