Cloud Engineer

Remote Full-time Live

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

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

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

Additional Information

We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the 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.

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Cloud Engineer

Job Responsibilities

Basic Qualifications

Preferred Qualifications

Additional Information

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