Platform Engineer

Econolite Group, Inc.•Colorado Springs, CO

3h•$1,155,000 - $140,000

About The Position

Econolite is seeking a Platform Engineer specializing in Kubernetes-based infrastructure. The role primarily deploys, operates, and supports the Centracs Mobility product line in customer on-premises Kubernetes environments, and also assists with cloud DevOps for hosted environments. The engineer works with development, support, and customer IT teams to deliver secure, reliable, and repeatable deployments. Some travel to customer sites is required for installations, upgrades, and troubleshooting. The position covers Kubernetes clusters and application deployments, on-premises platform services, databases, monitoring and security, customer-site preparation, and support for cloud CI/CD pipelines and hosted Kubernetes environments. It also includes using AI tools for scripting, troubleshooting, automation, and documentation, with review of generated output before production use.

Requirements

2–6 years of experience in platform engineering, DevOps, SRE, or systems engineering.
Hands-on experience running Kubernetes outside a managed cloud service, including installation, upgrades, and troubleshooting; examples include RKE2, k3s, kubeadm, and OpenShift.
Strong background with Docker containers and Helm.
Understanding of networking, including TCP/IP, DNS, load balancing, TLS/certificates, firewalls, VPNs, and network segmentation.
Linux and Windows Server administration, with scripting in Bash and PowerShell.
Azure DevOps pipeline development or comparable CI/CD experience, and Azure or AWS cloud experience.
Working knowledge of SQL Server and PostgreSQL administration.
Experience managing security policies and practices, such as SOC 2.
Experience supporting enterprise-grade production software, preferably delivered into customer-managed environments.
Programming experience with a high-level language such as C#.
Ability to communicate effectively with customer IT staff and travel to customer sites as needed.
Bachelor’s or master’s degree in computer science or an equivalent engineering field.
Keen analytical and problem-solving skills, excellent communication skills, a continual-learning mindset, and self-motivation.

Nice To Haves

Experience with air-gapped or disconnected deployments.
Experience operating Kafka (e.g., Strimzi), Keycloak, and cert-manager on Kubernetes.
Infrastructure as code and configuration management experience, such as Ansible or Terraform.
Experience with observability tooling such as Prometheus, Grafana, or OpenTelemetry.
Experience with virtualization platforms such as VMware vSphere or Hyper-V.
Traffic or Intelligent Transportation Systems (ITS) domain experience, or experience serving public-sector customers.

Responsibilities

Install, configure, upgrade, and maintain Kubernetes clusters in customer on-premises environments using customer-provided hardware and virtualization platforms.
Package and deploy Centracs Mobility services with Helm and version-controlled, repeatable configuration.
Build and maintain tooling, runbooks, and documentation for consistent on-premises installations and upgrades, including restricted or air-gapped deployments.
Provide on-premises platform services including ingress and load balancing, certificate management, persistent storage, secrets management, identity with Keycloak, and messaging with Kafka.
Provide platform capabilities for SQL Server and PostgreSQL, including provisioning, backup and restore, high availability, and upgrades.
Set up monitoring, logging, and alerting for on-premises deployments, and diagnose and resolve issues remotely or on site.
Coordinate with customer IT and network teams on prerequisites such as networking, DNS, firewall rules, remote access, and hardware sizing.
Apply security hardening and patching to clusters, nodes, and containers; remediate CVEs; and support security practices and certifications such as SOC 2.
Build and maintain Azure DevOps CI/CD pipelines for containerized .NET (C#) and Angular applications, and support cloud-hosted Kubernetes environments.
Use AI tools to accelerate scripting, troubleshooting, automation, and documentation, and review their output before applying it to production or customer environments.
Work with technical and support teams to deliver and manage services with maximum uptime.
Contribute to other projects as needed, such as software development.
Travel to customer sites as needed for installations, upgrades, and troubleshooting.