AI DevOps and Cloud Infrastructure Engineer - Manchester, NH

Only for registered members Manchester, NH, United States

1 month ago

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Job summary

At Crowe you can build a meaningful and rewarding career with real flexibility to balance work with life moments trusted to deliver results make an impact We embrace you for who you are care for your well-being nurture your career Everyone has equitable access to opportunities for career growth leadership Over our 80-year history delivering excellent service through innovation has been a core part of our DNA across our audit tax consulting groups That's why we continuously invest in innovative ideas such as AI-enabled insights technology-powered solutions enhance services Join us at Crowe embark on a career where you can help shape the future of our industry

Responsibilities

  • Architecting maintaining cloud infrastructure AI model training inference services distributed compute workloads
  • Implementing infrastructure-as-code IaC automate provisioning configuration scaling lifecycle management cloud resources
  • Designing operating CI/CD pipelines automated model training testing deployment AI-enabled applications Optimizing Kubernetes clusters GPU utilization compute scaling strategies balance performance reliability cost Integrating AI models inference endpoints data pipelines cloud-native platforms Developing monitoring logging alerting observability solutions modern telemetry tracing tools Troubleshooting issues networking containers compute storage model-serving layers Leading performance benchmarking load testing reliability validation AI systems Documenting infrastructure architectures operational runbooks engineering standards Supporting automation dataset ingestion model versioning artifact management ML testing Ensuring compliance cloud security identity management encryption responsible AI guidelines Partnering security teams secure networking IAM policies secrets management Providing technical mentorship design reviews best-practice guidance junior engineers Evaluating new cloud services platform capabilities AI infrastructure tooling adoption

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