Cloud & Ai Infrastructure Engineer | Aws, Azure, Multi-llm Deployment, Kubernetes, Terraform, Security & Observability

Synechron

Hybrid
Aws bedrock, eks, ec2
Terraform, jenkins, cloudwatch
Splunk, new relic, postgresql
Synechron is seeking a Cloud & AI Infrastructure Engineer with extensive experience in deploying and managing cloud infrastructure for AI workloads, particularly on AWS. The ideal candidate should have over five years of relevant experience and be proficient in tools such as Terraform, Kubernetes, and various AWS services

Job Summary

  • Design, deploy, and manage cloud infrastructure supporting multi-tenant, fault-tolerant AI platforms on AWS, including Bedrock and EKS clusters.
  • Implement comprehensive observability using CloudWatch, X-Ray, Splunk, and New Relic to track system health, SLA adherence, and incident detection.
  • Collaborate with AI/ML teams, security, and network teams to ensure compliant, high-security deployments.

Matching Summary

Match Score: 85

Synechron is seeking a Cloud & AI Infrastructure Engineer with extensive experience in deploying and managing cloud infrastructure for AI workloads, particularly on AWS. The ideal candidate should have over five years of relevant experience and be proficient in tools such as Terraform, Kubernetes, and various AWS services.

Skills & Requirements

Must-have

  • AWS Bedrock, EKS, EC2
  • Terraform, Jenkins, CloudWatch
  • Splunk, New Relic, PostgreSQL
  • Redshift, REST, SOAP, GraphQL
  • OAuth2, streaming protocols
  • Kubernetes, Helm, service mesh tools
  • CI/CD pipelines, Infrastructure as Code

Nice-to-have

  • AWS Nova, OpenAI, Anthropic, Gemini
  • Datadog, Instana, enterprise security tools
  • Java, Go, or other scripting languages
  • Agile/Scrum methodologies
  • GDPR, SOC, HIPAA compliance

Key Requirements

  • 5+ years AWS cloud platform engineering
  • Large-scale AI infrastructure and microservice deployment
  • Deploying and optimizing multi-model LLM platforms
  • Infrastructure automation (Terraform, CloudFormation)
  • Container orchestration (Kubernetes, EKS)
  • Multi-LLM routing, SLA management, incident response
  • Data infrastructure (PostgreSQL, Redshift) for RAG workflows
  • Bachelor's or Master's degree in Computer Science, Cloud Computing, Data Science, or related field
  • AWS, Azure, or GCP cloud solutions and security certifications (preferred)

Work Rights

Not specified

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