Platform Engineer (Azure, Kubernetes, Terraform

Delavan Holdings•Delavan, WI

5d•Onsite

About The Position

Delavan Holdings is hiring a Platform Engineer in Delavan, WI to build and operate our Azure cloud environment, Kubernetes platforms, and infrastructure as code. This is an on-site, full-time role owning cloud infrastructure, CI/CD, and observability for a multi-company portfolio. Own the Azure environment, the container platforms, and the observability stack that every internal application and AI workload at Delavan Holdings runs on.

Requirements

3 or more years in platform engineering, infrastructure, DevOps, cloud, or site reliability engineering, operating production systems
Hands-on Azure: Entra ID, RBAC, service principals and managed identities, virtual networks, DNS, firewalls, private endpoints, and core compute and storage services
Production Kubernetes experience (AKS or EKS), including deployments, networking, scaling, and upgrades
Infrastructure as code with Terraform, Bicep, or similar. Depth in the underlying skills matters more to us than the specific tool
Strong PowerShell or Bash scripting, practiced inside a modern workflow: Git and GitHub, code review, and documenting and testing changes as routine
Strong SQL and comfort supporting database and data platform infrastructure
Monitoring and observability with Azure Monitor, Application Insights, Datadog, or equivalent, used to drive real incident response
Backup, disaster recovery, and business continuity practice, including recovery testing, plus cloud cost monitoring and management
Sound security and data governance habits: least-privilege access, secret management, and careful handling of sensitive data across multiple entities
Advanced fluency with AI tools in engineering work, such as coding agents and assistants for infrastructure code, troubleshooting, and documentation, paired with the judgment to verify what they produce
Strong written communication and documentation habits, with the ability to work with technical and non-technical stakeholders

Nice To Haves

Administered an API gateway such as Kong or Azure API Management, or an AI gateway routing LLM traffic
Write working Python for automation and tooling
Operated with event-driven architectures such as queues, pub/sub, or streaming, for example with Redis
Operated under financial-reporting controls or audit requirements such as change logging and access review
Built a platform from close to nothing and know which corners are safe to cut early and which are not
Treat documentation and runbooks as part of the deliverable, not as cleanup
Background in automotive retail, hospitality, logistics, or multi-entity or holding company environments

Responsibilities

Build, operate, and maintain our Azure environment end to end: subscriptions, cloud identity and access, networking, compute, and storage, plus the cost discipline to keep spend predictable
Define and manage infrastructure as code in Terraform or Bicep, kept in GitHub with code review and documented changes, so environments are reproducible and maintainable by more than one person
Operate the container platforms running our internal applications and services, including the API and AI gateway components, and administer the gateways themselves: routing, authentication, rate limiting, and policy
Own monitoring, alerting, and observability: build the dashboards and the alerts that are actually actionable, and serve as primary responder for infrastructure incidents and outages
Diagnose to root cause, ship the fix, communicate status to affected teams, write the RCA, and run the lessons-learned review
Maintain the infrastructure beneath our data platform, including compute, storage, orchestration, and connectivity, in partnership with the data and analytics team
Manage backup, disaster recovery, and business continuity for platform-hosted systems, including regular recovery testing rather than assumed recoverability
Handle credentials, access, and data responsibly across entities: least-privilege access, secrets out of code, and respect for entity boundaries and data governance
Take changes through design, build, test, and release, deploying through staged Azure environments with controlled releases
Participate in sprint planning, backlog refinement, standups, reviews, and retrospectives, keeping work broken down and current in Asana
Partner with forward deployed engineers, the data team, and IT to unblock deployments and make the safe path the easy path
Use AI tools at an advanced level in daily work: writing and reviewing infrastructure code, diagnosing issues, drafting documentation, and automating routine tasks, while verifying output and owning the result