Mindlance
Key Responsibilities:
Design, develop, test, and maintain high-performance
RESTful APIs
and
microservices
using Python (Flask/FastAPI/Django). Develop
serverless applications
and integrate APIs with
AWS Lambda ,
API Gateway ,
Step Functions , and other AWS components. Manage and configure cloud infrastructure using
AWS CloudFormation ,
CDK , or
Terraform . Implement robust logging, monitoring, and alerting using
CloudWatch ,
X-Ray , and
SNS . Optimize performance and scalability of services using
asynchronous programming
and
event-driven architectures . Work with
AWS RDS ,
DynamoDB ,
S3 ,
SQS , and other AWS storage and messaging solutions. Secure APIs using
IAM roles ,
Cognito ,
Secrets Manager , and other AWS security best practices. Write unit, integration, and end-to-end tests; ensure CI/CD pipeline health (using
CodePipeline ,
CodeBuild ,
Jenkins , or
GitHub Actions ). Collaborate with DevOps, QA, and product teams in an agile environment. Troubleshoot and resolve production issues in a timely manner. Required Skills & Experience:
4+ years of professional experience in
Python development , specifically for backend services and APIs. Strong experience in building and deploying
RESTful APIs
and
microservices . 3+ years of hands-on experience with
AWS services , especially Lambda, API Gateway, S3, DynamoDB, RDS, IAM, CloudWatch. Familiarity with
Infrastructure as Code (IaC)
tools like
CloudFormation ,
AWS CDK , or
Terraform . Deep understanding of
asynchronous programming ,
event-driven architectures , and
serverless patterns . Experience with
CI/CD pipelines , containerization (
Docker ,
ECS ,
EKS ), and version control (
Git ). Familiarity with
OAuth2 ,
JWT , and API security practices. Experience in agile methodologies and team collaboration tools (JIRA, Confluence, etc.).
RESTful APIs
and
microservices
using Python (Flask/FastAPI/Django). Develop
serverless applications
and integrate APIs with
AWS Lambda ,
API Gateway ,
Step Functions , and other AWS components. Manage and configure cloud infrastructure using
AWS CloudFormation ,
CDK , or
Terraform . Implement robust logging, monitoring, and alerting using
CloudWatch ,
X-Ray , and
SNS . Optimize performance and scalability of services using
asynchronous programming
and
event-driven architectures . Work with
AWS RDS ,
DynamoDB ,
S3 ,
SQS , and other AWS storage and messaging solutions. Secure APIs using
IAM roles ,
Cognito ,
Secrets Manager , and other AWS security best practices. Write unit, integration, and end-to-end tests; ensure CI/CD pipeline health (using
CodePipeline ,
CodeBuild ,
Jenkins , or
GitHub Actions ). Collaborate with DevOps, QA, and product teams in an agile environment. Troubleshoot and resolve production issues in a timely manner. Required Skills & Experience:
4+ years of professional experience in
Python development , specifically for backend services and APIs. Strong experience in building and deploying
RESTful APIs
and
microservices . 3+ years of hands-on experience with
AWS services , especially Lambda, API Gateway, S3, DynamoDB, RDS, IAM, CloudWatch. Familiarity with
Infrastructure as Code (IaC)
tools like
CloudFormation ,
AWS CDK , or
Terraform . Deep understanding of
asynchronous programming ,
event-driven architectures , and
serverless patterns . Experience with
CI/CD pipelines , containerization (
Docker ,
ECS ,
EKS ), and version control (
Git ). Familiarity with
OAuth2 ,
JWT , and API security practices. Experience in agile methodologies and team collaboration tools (JIRA, Confluence, etc.).