Cloud Engineer
Job Summary
Job Description
ShyftLabs is looking for a Senior Cloud Engineer specializing in Data Platforms to design, implement, and manage cloud infrastructure for GenAI applications. The role involves building a robust platform for rapid experimentation and deployment with enterprise-grade security. Responsibilities include managing cloud resources on AWS (primary), Azure, and Google Cloud, handling end-to-end infrastructure for GenAI apps, designing feature stores, vector stores, and data ingestion frameworks, managing data governance, and implementing serverless solutions. Key tasks also involve architecting disaster recovery strategies, building self-service platforms with Infrastructure as Code (Terraform), creating CI/CD pipelines, and establishing comprehensive monitoring and DevOps practices.
Must have:
- 5+ years of hands-on experience with AWS services
- 2+ years of hands-on experience with Databricks
- Expert-level knowledge of AWS core services
- Expert-level knowledge of Databricks capabilities
- Strong proficiency with Terraform
- Experience with containerization (Docker, Kubernetes)
- Solid understanding of networking concepts
- Experience with CI/CD tools
- Proficiency in scripting languages (Python, Bash, PowerShell)
- Extensive experience with AWS Lambda, API Gateway, ECS, Step Functions
- Experience designing and implementing DR strategies in AWS
- Primary AWS experience required, working knowledge of Azure and GCP
- Experience with monitoring tools (CloudWatch, Datadog, etc.)
- Log management systems experience
Good to have:
- Familiarity with SageMaker, Bedrock, or Anthropic/Claude API integration
- Knowledge of serverless frameworks (SAM, Serverless Framework)
- Experience with event-driven patterns
- Understanding of serverless best practices
- Expertise in multi-region architectures
- Experience with AWS backup services
- Knowledge of RTO/RPO planning
- Hands-on experience with Route53 health checks
- Multi-cloud architecture understanding
- Log management systems experience
- APM tools and distributed tracing
- AWS certifications
- Databricks Certifications
- Experience with open-source LLMs
- Experience with chaos engineering
- Knowledge of security frameworks and compliance
- Experience building developer platforms
- Experience with IaC testing frameworks
Perks:
- Competitive salary
- Strong healthcare insurance and benefits package
- Extensive learning and development resources
23 skills required
Job Details
Position Overview:
ShyftLabs is seeking a highly skilled Cloud Engineer (Senior, Data Platforms) to join our team and lead the design, implementation, and management of cloud infrastructure for our innovative GenAI applications. This role will be instrumental in building a robust platform that enables rapid experimentation and deployment while maintaining enterprise-grade security and reliability.
ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Job Responsibilities:
- 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
- Design feature stores, vector stores, data ingestion frameworks, and lakehouse architectures
- Manage data governance, lineage, masking, and access controls around data products
- 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
- 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
- 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
- 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
Cloud Infrastructure Management
Data & AI Platforms
Serverless Architecture
Disaster Recovery & High Availability
Platform Development
Monitoring & Operations
Basic Qualifications:
- 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)
- 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
- 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
- Primary: AWS (extensive experience required)
- Secondary: Azure and Google Cloud Platform (working knowledge)
- Multi-cloud architecture understanding
- Experience with monitoring tools (CloudWatch, Datadog, Prometheus, Grafana)
- Log management systems (ELK stack, Splunk, CloudWatch Logs) APM tools and distributed tracing
Serverless & Event-Driven Architecture
Disaster Recovery & Business Continuity
Cloud Platform Experience
Monitoring & Observability
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
We are proud to offer a competitive salary alongside strong healthcare insurance and benefits package. The role is hybrid, with 3 days per week spent in the client's Atlanta office, and flexibility for client engagement needs. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
Similar Jobs
Looks like we're out of matches
Set up an alert and we'll send you similar jobs the moment they appear!
Similar Skill Jobs
Looks like we're out of matches
Set up an alert and we'll send you similar jobs the moment they appear!
Jobs in Atlanta, Georgia, United States
Looks like we're out of matches
Set up an alert and we'll send you similar jobs the moment they appear!
Devops Jobs
Looks like we're out of matches
Set up an alert and we'll send you similar jobs the moment they appear!
About The Company
Here at ShyftLabs, we build data products to help enterprises deliver real impact through tailored data analytics, science, and AI solutions. From consulting to operations, we guide our customers through their data journey and ensure they are data and AI-empowered.
Get notified when new jobs are added by ShyftLabs
