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.).
#J-18808-Ljbffr
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.).
#J-18808-Ljbffr