Mindlance
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, S, 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
years of professional experience in Python development, specifically for backend services and APIs. Strong experience in building and deploying RESTful APIs and microservices. years of hands-on experience with AWS services, especially Lambda, API Gateway, S, 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 OAuth, JWT, and API security practices. Experience in agile methodologies and team collaboration tools (JIRA, Confluence, etc.).
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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, S, 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
years of professional experience in Python development, specifically for backend services and APIs. Strong experience in building and deploying RESTful APIs and microservices. years of hands-on experience with AWS services, especially Lambda, API Gateway, S, 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 OAuth, JWT, and API security practices. Experience in agile methodologies and team collaboration tools (JIRA, Confluence, etc.).
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