Cloud Engineer at ShyftLabs

Job Responsibilities:

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Cloud Infrastructure Management
• Design, provision, and maintain cloud resources across AWS (primary), with capabilities to work in Azure and Google Cloud environments
• Manage end-to-end infrastructure for full-stack GenAI applications including:
• Database systems (Aurora, RDS, DynamoDB, DocumentDB, etc.)
• Security groups and IAM policies
• VPC architecture and network design
• Container orchestration (ECS, EKS, Lambda)
• Storage solutions (S3, EFS, etc.)
• CDN configuration (CloudFront)
• DNS management (Route53)
• Load balancing and auto-scaling
Data & AI Platforms
• Design feature stores, vector stores, data ingestion frameworks, and lakehouse architectures
• Manage data governance, lineage, masking, and access controls around data products
Serverless Architecture
• Design and implement serverless solutions using AWS Lambda, API Gateway, and EventBridge
• Optimize serverless applications for performance, cost, and scalability
• Implement event-driven architectures and asynchronous processing patterns
• Manage serverless deployment pipelines and monitoring
Disaster Recovery & High Availability
• Architect and implement comprehensive disaster recovery strategies
• Design multi-region failover capabilities with automated recovery procedures
• Implement RTO/RPO requirements through backup strategies and replication
• Build auto-failover mechanisms using Route53 health checks and failover routing
• Create and maintain disaster recovery runbooks and testing procedures
• Ensure data durability through cross-region replication and backup strategies
Platform Development
• Build and maintain a self-service platform enabling rapid experimentation and testing of GenAI applications
• Implement Infrastructure as Code (IaC) using Terraform for consistent and repeatable deployments
• Create streamlined CI/CD pipelines that support local-to-dev-to-prod workflows
• Design systems that minimize deployment time and maximize developer productivity
• Establish quick feedback loops between development and deployment
Monitoring & Operations
• Implement comprehensive monitoring, observability, and alerting solutions
• Set up logging aggregation and analysis tools
• Ensure high availability and disaster recovery capabilities Optimize cloud costs while maintaining performance
• DevOps Excellence
• Champion DevOps best practices across the organization
• Automate infrastructure provisioning and application deployment
• Implement security best practices and compliance requirements
• Create documentation and runbooks for operational procedures

Basic Qualifications:

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• Technical Skills
• 5+ years of hands-on experience with AWS services
• 2+ years of hands-on experience with Databricks
• Expert-level knowledge of AWS core services (EC2, VPC, IAM, S3, RDS, Lambda, ECS/EKS)
• Expert-level knowledge of Databricks capabilities
• Familiarity with SageMaker, Bedrock, or Anthropic/Claude API integration
• Strong proficiency with Terraform for infrastructure automation
• Demonstrated experience with containerization (Docker, Kubernetes)
• Solid understanding of networking concepts (subnets, routing, security groups, VPN)
• Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, AWS CodePipeline) 
• Proficiency in scripting languages (Python, Bash, PowerShell)
Serverless & Event-Driven Architecture
• Extensive experience with AWS Lambda, API Gateway, ECS, Step Functions
• Knowledge of serverless frameworks (SAM, Serverless Framework)
• Experience with event-driven patterns using SNS, SQS, EventBridge
• Understanding of serverless best practices and optimization techniques
Disaster Recovery & Business Continuity
• Proven experience designing and implementing DR strategies in AWS
• Expertise in multi-region architectures and data replication
• Experience with AWS backup services and cross-region failover
• Knowledge of RTO/RPO planning and implementation
• Hands-on experience with Route53 health checks and failover routing policies
Cloud Platform Experience
• Primary: AWS (extensive experience required)
• Secondary: Azure and Google Cloud Platform (working knowledge)
• Multi-cloud architecture understanding
Monitoring & Observability
• Experience with monitoring tools (CloudWatch, Datadog, Prometheus, Grafana)
• Log management systems (ELK stack, Splunk, CloudWatch Logs) APM tools and distributed tracing

Preferred Qualifications

• AWS certifications (Solutions Architect, DevOps Engineer)
• Databricks Certifications
• Experience with open-source LLMs, embedding models, and RAG-based applications
• Experience with chaos engineering and resilience testing
• Knowledge of security frameworks and compliance (SOC2, HIPAA, PCI)
• Experience implementing complex build systems for mono-repo micro-services architectures
• Background in building developer platforms or internal tools Experience with Infrastructure as Code testing frameworks