Python AWS Technical Lead
Role details
Job location
Tech stack
Job description
The ideal candidate will lead backend engineering efforts, mentor developers, architect scalable AWS solutions, and drive engineering best practices while ensuring secure, high-performing application delivery., * Lead solution design and development of scalable backend applications.
- Develop and optimize Python-based applications and automation solutions.
- Design and deploy AWS cloud-native applications.
- Build and maintain API services and integrations.
- Perform API testing using Bruno.
- Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and GitHub Actions.
- Troubleshoot and resolve application and infrastructure issues.
- Create technical documentation for APIs, applications, and architecture.
- Conduct code reviews and mentor development teams.
- Establish engineering standards and best practices.
Requirements
- Python
- AWS Cloud
- AWS Lambda
- Amazon S3
- DynamoDB
- Storage Gateway
- SNS
- API Development
- API Integration
- Bruno API Testing
- Splunk
- PyTest
- CI/CD
- GitHub Actions
- AWS CodePipeline
- AWS CodeBuild
- Cloud Architecture
Preferred Skills
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React.js
-
PySpark
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BFSI Domain
-
Capital Markets
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Backend Development
-
Application Deployment
-
Automation Frameworks, We are seeking a highly skilled Python AWS Technical Lead with strong hands-on experience in Python development, AWS cloud services, API development, and cloud-native architecture., * 6 8+ years of experience in Python development.
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Strong hands-on expertise in:
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Python
-
Pandas
-
NumPy
Extensive AWS experience:
- Lambda
- S3
- DynamoDB
- Storage Gateway
- SNS
Strong API development and integration experience.
Hands-on experience with:
- Bruno
- Splunk
- PyTest
Experience building and deploying applications on AWS.
Strong understanding of cloud architecture and scalability concepts.
Experience implementing CI/CD pipelines., * Experience with React.js development.
- Exposure to BFSI or Capital Markets environments.
- Experience with PySpark.
- Experience leading technical teams and mentoring developers.
Tools & Technologies
Programming
- Python
- Pandas
- NumPy
- PySpark
AWS Services
- Lambda
- S3
- DynamoDB
- SNS
- Storage Gateway
DevOps & CI/CD
- GitHub Actions
- AWS Code Pipeline
- AWS Code Build
Testing & Monitoring
- Bruno
- PyTest
- Splunk