Lead Software Engineer

Your Role and Impact
*Platform Architecture & Design (Primary Focus)*

• Design and architect scalable backend microservices platforms that support high-volume, distributed systems with focus on reliability, performance, and maintainability
• Lead solution architecture for complex backend systems, making critical technical decisions on service boundaries, communication patterns, and infrastructure components
• Define and implement microservices design patterns including API Gateway patterns, circuit breakers, service mesh, event-driven architectures, and asynchronous communication
• Establish platform standards and best practices for API design, service-to-service communication, error handling, logging, monitoring, and observability
• Architect multi-tenant backend platforms with appropriate isolation, security, and resource management strategies

Backend Development & Engineering

• Lead the development of RESTful and GraphQL APIs using Python, ensuring high code quality, comprehensive testing, and proper documentation
• Build and optimize microservices with focus on domain-driven design, loose coupling, and high cohesion
• Implement robust error handling, retry mechanisms, and fault-tolerant patterns to ensure service resilience
• Develop authentication and authorization frameworks using OAuth 2.0, JWT, and role-based access control (RBAC)
• Create reusable libraries and SDKs for common platform functionality to accelerate team velocity
• Optimize API performance through caching strategies, connection pooling, and query optimization

Team Leadership & Mentorship

• Lead a team of engineers in designing, developing, and deploying backend services, providing technical direction and guidance
• Mentor junior and mid-level engineers on microservices architecture, Python best practices, AWS services, and software engineering principles
• Conduct code reviews to ensure adherence to coding standards, security practices, and architectural guidelines
• Drive technical discussions and facilitate architectural decision-making within the team
• Foster a culture of engineering excellence, innovation, and continuous improvement
• Collaborate with product managers and stakeholders to translate business requirements into technical solutions

AWS Cloud Infrastructure & DevOps

• Design and implement cloud-native architectures leveraging AWS services including Lambda, ECS (Fargate/EC2), API Gateway, ALB/NLB, and Auto Scaling
• Build and manage event-driven architectures using AWS MSK (Kafka), SQS, SNS, and EventBridge for asynchronous processing
• Implement container orchestration strategies using ECS and Docker for microservices deployment
• Configure auto-scaling policies and load balancing to handle variable traffic patterns efficiently
• Design CI/CD pipelines using AWS CodePipeline, CodeBuild, or third-party tools for automated testing and deployment
• Implement Infrastructure as Code using AWS CDK, CloudFormation, or Terraform
• Establish monitoring and observability using CloudWatch, X-Ray, and distributed tracing for proactive issue detection

Your Contribution
*Platform Architecture & Design (Primary Focus)*

• Design and architect scalable backend microservices platforms that support high-volume, distributed systems with focus on reliability, performance, and maintainability
• Lead solution architecture for complex backend systems, making critical technical decisions on service boundaries, communication patterns, and infrastructure components
• Define and implement microservices design patterns including API Gateway patterns, circuit breakers, service mesh, event-driven architectures, and asynchronous communication
• Establish platform standards and best practices for API design, service-to-service communication, error handling, logging, monitoring, and observability
• Architect multi-tenant backend platforms with appropriate isolation, security, and resource management strategies

Backend Development & Engineering

• Lead the development of RESTful and GraphQL APIs using Python, ensuring high code quality, comprehensive testing, and proper documentation
• Build and optimize microservices with focus on domain-driven design, loose coupling, and high cohesion
• Implement robust error handling, retry mechanisms, and fault-tolerant patterns to ensure service resilience
• Develop authentication and authorization frameworks using OAuth 2.0, JWT, and role-based access control (RBAC)
• Create reusable libraries and SDKs for common platform functionality to accelerate team velocity
• Optimize API performance through caching strategies, connection pooling, and query optimization

Team Leadership & Mentorship

• Lead a team of engineers in designing, developing, and deploying backend services, providing technical direction and guidance
• Mentor junior and mid-level engineers on microservices architecture, Python best practices, AWS services, and software engineering principles
• Conduct code reviews to ensure adherence to coding standards, security practices, and architectural guidelines
• Drive technical discussions and facilitate architectural decision-making within the team
• Foster a culture of engineering excellence, innovation, and continuous improvement
• Collaborate with product managers and stakeholders to translate business requirements into technical solutions

AWS Cloud Infrastructure & DevOps

• Design and implement cloud-native architectures leveraging AWS services including Lambda, ECS (Fargate/EC2), API Gateway, ALB/NLB, and Auto Scaling
• Build and manage event-driven architectures using AWS MSK (Kafka), SQS, SNS, and EventBridge for asynchronous processing
• Implement container orchestration strategies using ECS and Docker for microservices deployment
• Configure auto-scaling policies and load balancing to handle variable traffic patterns efficiently
• Design CI/CD pipelines using AWS CodePipeline, CodeBuild, or third-party tools for automated testing and deployment
• Implement Infrastructure as Code using AWS CDK, CloudFormation, or Terraform
• Establish monitoring and observability using CloudWatch, X-Ray, and distributed tracing for proactive issue detection