Senior Platform Engineer

Implement and operate Kubernetes infrastructure (AKS): cluster lifecycle, networking, resource management, auto-scaling, and multi-tenancy patterns.
Build and maintain CI/CD pipelines using GitHub Actions and ArgoCD for automated testing, container builds, and GitOps deployments.
Develop Infrastructure as Code (Terraform, Bicep) to provision and manage Azure resources with consistency and auditability.
Operate container registries (ACR), artifact management, and image security scanning workflows.
Implement and maintain observability infrastructure: Azure Monitor, Application Insights, Prometheus, Grafana — including dashboards, alerting, and distributed tracing.
Manage async processing infrastructure: Celery workers, Redis queues, and workflow orchestration patterns supporting AI agent execution.
Implement platform security controls: network policies, pod security standards, Key Vault integration, RBAC, and private endpoint configurations.
Support database infrastructure: PostgreSQL management, backup/recovery, connection pooling, and performance tuning.
Create self-service tooling and templates that enable development teams to deploy and operate services with minimal friction.
Diagnose and resolve infrastructure issues across clusters, pipelines, and cloud services; perform root-cause analysis and implement preventative improvements.
Collaborate with Platform Architects, Backend Engineers, and ML Engineers to translate architecture designs into reliable infrastructure.

6+ years of professional experience in platform engineering, SRE, or DevOps roles; experience supporting AI/ML workloads is a strong plus.
Strong Kubernetes experience: cluster operations, networking (Ingress, network policies), storage, autoscaling, and troubleshooting.
Solid Infrastructure as Code experience with Terraform, Bicep, or equivalent tools.
Production experience with Azure cloud services: AKS, ACR, Key Vault, Azure Monitor, Virtual Networks, Private Endpoints, and Azure Policy.
Strong CI/CD experience: GitHub Actions (self-hosted runners, reusable workflows), ArgoCD, or similar GitOps tooling.
Proficiency in Python for automation, scripting, and tooling.
Experience with container security: image scanning, runtime security, network policies, and least-privilege patterns.
Experience with observability stack: Prometheus, Grafana, centralized logging, and alerting configuration.
Familiarity with async task processing: Celery, Redis, or equivalent message queue patterns.
Strong Linux systems administration and networking fundamentals.
Operational mindset with strong troubleshooting skills across infrastructure layers.
Hands-on proficiency with Claude Code as an active coding assistant for infrastructure scripting, automation, and tooling development.

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