Lead Python Developer (AWS Serverless)

TL;DR

Lead Python Developer (AWS Serverless): Designing, developing, and optimizing backend services with a strong focus on AWS Serverless Architecture, Lambda functions, and application design principles. Focus on building scalable, secure, and maintainable backend systems, implementing infrastructure-as-code, and ensuring adherence to best practices for performance, security, and cost.

Location: Hybrid (3 Days work from office in Bangalore)

Company

hirify.global is a global company offering Software and Digital Engineering solutions, including Cloud Services, AI & LLM Engineering, and Cybersecurity.

What you will do

• Develop, maintain, and optimize Python backend services and AWS Lambda functions, adhering to PEP8 and SOLID principles.
• Design and maintain serverless applications using AWS services like API Gateway, DynamoDB, SQS/SNS, and EventBridge.
• Participate in architectural discussions, designing scalable, fault-tolerant, and cost-optimized microservice components.
• Implement robust exception handling, logging, monitoring (CloudWatch), and manage dependencies.
• Collaborate with DevOps to build CI/CD pipelines using AWS CodePipeline, GitHub Actions, or Jenkins.
• Write unit and integration tests (PyTest) and conduct code reviews to maintain code quality.

Requirements

• 8+ years of experience as a Python Developer.
• Strong proficiency in Python (3.x) with experience in AWS Lambda, API Gateway, DynamoDB/RDS, SQS/SNS, and S3.
• Familiarity with RESTful APIs, JSON, event-driven architectures, and async programming.
• Hands-on knowledge in CI/CD automation and understanding of microservices, serverless, and distributed systems design.
• English: B2 required.

Nice to have

• Experience with FastAPI, Flask, or Django.
• Familiarity with Docker and container-based Lambda deployments.
• Knowledge of security best practices (IAM, encryption, VPC) and monitoring tools (X-Ray).

Culture & Benefits

• Collaborative environment with a focus on best coding and architectural practices.
• Emphasis on continuous learning and professional development (implied by advanced tech stack).
• Commitment to diversity and inclusion, hiring professionals based solely on skills.
• Full-time employment.