AWS Python Tech Lead

PineQ Lab Technology
Malvern, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Malvern, United States of America

Tech stack

API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Engineering
Code Review
Amazon DynamoDB
Github
Python
NumPy
Software Deployment
Systems Architecture
Web Services
AWS Lambda
Backend
Pandas
Pytest
Deployment Automation
Build Tools
Codebase
Api Design
Splunk
Api Management

Job description

We are seeking a highly skilled Technical Lead with deep hands-on experience in Python programming, API and key AWS services and strong expertise in cloud architecture, deployment strategies and deploying applications on AWS. The role involves leading and guiding engineering best practices, and driving high-quality, scalable solutions. The Technical Lead will collaborate with cross-functional teams to ensure secure, performant, and cloud-ready delivery., * Lead solution design and develop clean efficient and scalable code for backend and automation task

  • sOversee development of Python AWS services, API services and API testing using Bruno. Architect and deploy applications on AWS using S3, Lambda, Dynamo DB, Storage Gateway, SNS Implement CI/CD pipelines for builds using Code Pipeline /Code Build, GitHub Actions, or equivalent. Identify, analyze and resolve technical issues and bugs across the application stack
  • .Create and maintain clear, concise documentation for codebases, APIs, and system architecture Lead code reviews, mentor engineers, and drive engineering standards for performance and maintainability

Requirements

  • ) Python programming includes experience with various frameworks and libraries such as Pandas, NumPy and others. AWS: Lambda, S3, DynamoDB, Storage Gateway and SNS Strong experience in API development and integratio
  • n.Hands-on experience with Splunk and Bruno for API testing Proven ability to design, build, and optimize backend-end applications in AWS environment
  • s.Strong experience with automated testing frameworks (pytest

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