Python AWS Architect/Lead (AWS Serverless & Microservices Specialist)

Role Overview:

As a Technical Architect, you will drive the design and implementation of robust, scalable, and high-performance cloud-native solutions using AWS services, Python, and microservices architecture. This role requires deep expertise in serverless computing, distributed systems, and event-driven architectures.

Key Responsibilities:

1. Architecture Design and Implementation:

• Design serverless architectures using AWS Lambda, DynamoDB, API Gateway, S3, SNS, and SQS.
• Develop scalable microservices with Python, adhering to best practices for modularity, maintainability, and performance.
• Create highly available and fault-tolerant systems leveraging multi-region deployments and disaster recovery strategies.
• Define interaction models for event-driven systems, including pub/sub and message queuing using SNS and SQS.
• Architect APIs with REST, GraphQL, or gRPC for seamless communication between services.

2. Technical Leadership:

• Lead technical discussions to evaluate new frameworks, tools, and technologies.
• Establish best practices for coding, logging, monitoring, and alerting to ensure high code quality and system reliability.
• Review architecture, design, and code to ensure compliance with design principles and security standards.
• Serve as the go-to technical expert for troubleshooting complex performance issues or architectural challenges.

3. Database and Storage Systems:

• Design NoSQL data models for DynamoDB to optimize partitioning, indexing, and query efficiency.
• Implement data backup, restoration, and archiving strategies using DynamoDB streams and S3.
• Define caching mechanisms (e.g., DynamoDB Accelerator, ElastiCache) to reduce database latency in high-throughput environments.

4. Cloud-Native Automation and Deployment:

• Automate infrastructure provisioning and application deployments using AWS CDK, CloudFormation, or Terraform.
• Design and implement CI/CD pipelines for serverless and microservices architectures using AWS CodePipeline, CodeBuild, and CodeDeploy.
• Integrate observability tools like AWS CloudWatch, X-Ray, or third-party solutions for distributed tracing and performance monitoring.

5. Event-Driven Systems and Messaging:

• Architect event-driven workflows with SNS, SQS, and EventBridge to support asynchronous communication between services.
• Optimize message processing systems to ensure throughput, latency, and delivery guarantees (e.g., FIFO queues, dead-letter queues).

6. Security and Compliance:

• Implement robust security measures, including IAM roles and policies, API Gateway throttling, and AWS Key Management Service (KMS) for encryption.
• Ensure compliance with industry standards like GDPR, SOC2, or HIPAA through proper data handling and audit logging.

7. Performance Optimization and Scalability:

• Conduct load testing to identify bottlenecks and optimize for high-throughput, low-latency workloads.
• Leverage AWS Step Functions for orchestrating long-running workflows.
• Optimize cold start performance in AWS Lambda using techniques like provisioned concurrency.

Required Skills and Expertise:

Core Technologies:

• AWS Services: Lambda, DynamoDB, SNS, SQS, API Gateway, S3, Step Functions, EventBridge, CloudWatch, X-Ray.
• Programming: Proficiency in Python for backend development, with a strong focus on concurrency (asyncio, multithreading).
• Microservices: Expertise in designing, implementing, and scaling microservices with REST/GraphQL APIs.

Infrastructure and Automation:

• Hands-on experience with IaC tools like AWS CDK, CloudFormation, Terraform.
• Proficiency in Docker for local development/testing of AWS Lambda functions.
• Knowledge of Kubernetes (preferred but not mandatory).

Data and Messaging:

• Advanced knowledge of DynamoDB, including streams, global tables, and DAX.
• Experience in optimizing message processing pipelines using SQS/SNS.

Performance and Reliability:

• Proven track record of implementing solutions with SLA and SLO adherence.
• Experience in distributed tracing, monitoring, and debugging across microservices.

DevOps Integration:

• Strong knowledge of GitOps and CI/CD pipelines.
• Familiarity with monitoring solutions like Prometheus, Grafana, or AWS-native tools.

Security:

• Hands-on experience in securing AWS-based applications with proper IAM role/policy design.
• Familiarity with OWASP, encryption standards, and audit trails.

Preferred Qualifications:

• Certifications: AWS Certified Solutions Architect (Professional) or AWS Certified Developer (Associate).
• Domain Knowledge: Prior experience in domains like e-commerce, fintech, or IoT also should have familiarity with modern banking tech stacks focusing on savings and mortgages

Soft Skills:

• Ability to effectively communicate complex technical concepts to developers and stakeholders.
• Problem-solving mindset with a keen focus on system reliability and scalability.