Cloud Engineer SME

Key Responsibilities

• Discovery, Legacy Analysis & Migration Planning
• Participate in structured discovery efforts across legacy systems
• Analyze existing application architectures, infrastructure dependencies, batch schedules, data flows, and integration points
• Contribute to formal system inventory documentation
• Identify cloud readiness gaps and modernization constraints
• Support classification of systems using the 7 Rs migration framework
• Provide technical input into phased migration roadmaps and sequencing plans
• Audit operational risk, integration complexity, and environment dependencies during modernization planning
• Document current-state (As-Is) technical architecture and assist in defining target-state (To-Be) environment patterns

Cloud Infrastructure & Environment Engineering

• Design and implement AWS cloud environments aligned to enterprise provisioning constraints
• Develop and maintain Infrastructure-as-Code (IaC) using Terraform or CloudFormation
• Establish repeatable environment patterns for development, testing, staging, and production
• Implement secure network architecture (VPC segmentation, IAM least privilege, encryption)
• Design for high availability, resiliency, and disaster recovery
• Align environment provisioning with migration waves and modernization sequencing

Python Engineering for Cloud-Native Applications (Required)

• Develop and maintain Python-based cloud components including:
• Serverless functions
• Orchestration utilities
• Data validation and transformation scripts
• Automation tooling
• Write production-quality Python code with testability, logging, secure coding practices, and modular design
• Review and support Python refactoring patterns during legacy modernization
• Ensure Python runtime environments are reproducible and aligned with CI/CD standards

Cloud-Native Application Enablement

• Implement scalable AWS compute solutions (Lambda, ECS/EKS/Fargate, Glue, Aurora/PostgreSQL, S3, Batch)
• Evaluate serverless vs containerized approaches based on workload characteristics
• Support refactoring efforts by providing optimized cloud runtime patterns
• Improve performance, scalability, and observability for data-intensive workloads

DevSecOps & CI/CD Implementation

• Design and implement CI/CD pipelines integrating:
• Automated builds
• Unit and integration tests
• Regression validation
• Security scanning
• Embed quality and compliance gates into pipelines
• Automate environment provisioning and deployments
• Ensure version-controlled infrastructure and reproducible deployments

Observability & Operational Readiness

• Implement monitoring, logging, and alerting standards
• Establish performance baselines and capacity thresholds
• Support load testing and scalability validation
• Document operational runbooks for sustained support

Cross-Team Integration Support

• Support integration across multiple interdependent systems
• Affiliate with data engineering teams on schema stability and data lifecycle controls
• Ensure consistency in cloud patterns across teams

Governance & Compliance Alignment

• Contribute to architecture and environment documentation required for governance reviews
• Support ATO readiness and audit artifact collection
• Align cloud implementation with security and compliance requirements
• Maintain traceable, auditable deployment documentation