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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing cloud-native AI infrastructure, with a strong focus on observability, security, and operational excellence. Proficient in implementing infrastructure as code and driving FinOps for AI platforms to optimize performance and cost.
Highest-signal resume keywords
Cloud Infrastructure ManagementAI/ML Infrastructure ExpertiseInfrastructure As Code (IaC)CI/CD Pipeline DevelopmentKubernetes and Containerization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingTerraform/BicepKubernetesGPU OptimizationCI/CDObservabilityNetworkingSecurityAI/ML InfrastructureMLOps/LLMOps
Soft Skills
MentoringCollaborationStakeholder Engagement
Tools & Technologies
AzureAWSPrometheusGrafanaOpenTelemetryKafkaAzure Event HubsMLflowKServeHugging Face
Industry Keywords
Cloud-Native PatternsService MeshServerlessFeature StoresVector DatabasesResponsible AIData ResidencyAudit ReadinessError BudgetsChaos Testing
Tech Stack
Tools & technologiesAWSAzureCloudGrafanaKafkaKubernetesMicroservicesPrometheusPythonTerraformTypeScriptGo
About the role
Key responsibilities & impact- Define reference and production-grade AI/GenAI solutions on cloud
- Build reusable, secure, and observable APIs, SDKs, microservices, and pipelines
- Operationalize LLMs and RAG with Responsible AI guardrails
- Drive platform roadmaps that enable faster delivery, lower risk, and measurable business outcomes
- Design, build, and operate cloud-native AI infrastructure for ML/GenAI workloads
- Manage GPU/CPU clusters, autoscaling, spot instance strategies, networking, storage, databases, IAM, secrets, encryption, and policy-as-code
- Implement observability and reliability for AI infrastructure using metrics, logging, tracing, SLOs, and SLIs
- Build CI/CD and GitOps pipelines for infrastructure-as-code and AI platform components
- Drive FinOps for AI infrastructure through GPU rightsizing, caching, inference optimization, and cost governance
- Enable secure APIs, microservices, event-driven architectures, model runtimes, and RAG retrieval pipelines
- Define and evolve AI infrastructure reference architecture, including Kubernetes, service mesh, ingress, serverless, multi-region, HA/DR, and compliance-ready designs
- Establish standards for containerization, IaC, secure networking, and AI systems
- Implement defense-in-depth security and Responsible AI controls, including data residency, encryption, lineage, and audit readiness
- Lead infrastructure discovery and solution design with stakeholders
- Operate platforms with SRE principles, including error budgets, incident response, and chaos testing
- Mentor engineers and create reusable IaC modules, templates, and golden paths
Requirements
What you’ll need- Bachelor’s/Master’s/PhD in CS, Engineering, or related field
- 7+ years building large-scale distributed cloud infrastructure
- 5+ years hands-on with Azure/AWS
- Proven experience with AI/ML infrastructure, including GPU clusters, Kubernetes, CI/CD, and observability
- Strong in infrastructure as code, Terraform/Bicep, Kubernetes, networking, and security
- Expertise in cloud-native patterns, including containers, service mesh, and serverless
- Familiarity with MLOps/LLMOps infrastructure, model serving, feature stores, and vector databases
- Programming in Python and one of Go/TypeScript for tooling
- Understanding of frontend/backend integration for AI services
- GPU optimization knowledge, including CUDA/NCCL and TensorRT-LLM
- Familiarity with Prometheus, Grafana, and OpenTelemetry
- Experience with Kafka/Azure Event Hubs and real-time systems
- Experience with AI platform products such as Azure ML, MLflow, KServe, or Hugging Face
Benefits
Comp & perks- Performance-based incentives
- Discretionary bonuses
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
- In-depth training and coaching
- Manager support
- Network-building opportunities
- Tools and resources to reach new milestones
- Equal employment opportunity
- Reasonable accommodations for individuals with disabilities