Cloud Engineer

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We are seeking a highly skilled Cloud Engineer (Senior, Data Platforms) to join our team and lead the design, implementation, and management of cloud infrastructure for 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.

We are a growing data product company working primarily with Fortune 500 organizations. Our focus is on delivering digital solutions that accelerate business growth by creating value through innovation.

Job Responsibilities

• Design, provision, and maintain cloud resources across AWS (primary), with the ability to work in Azure and Google Cloud environments.
• Manage end-to-end infrastructure for full-stack GenAI applications including:
• Security groups and IAM policies
• VPC architecture and network design
• Container orchestration (ECS, EKS, Lambda)
• Storage solutions (S3, EFS)
• 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.
• 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.

Job 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.
• 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 microservices architectures.
• Background in building developer platforms or internal tools.
• Experience with Infrastructure as Code testing frameworks.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT System Custom Software Development

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