[Hiring] Kubernetes Platform Engineer @Insight Softmax Consulting LLC

Role Description

We are hiring a Kubernetes Platform Engineer for our engineering team. You will design, build and operate multi-tenant Kubernetes platforms for GPU and HPC workloads, and the automation, identity and security layers around them.

Our customers include:

• A Kubernetes platform vendor who has us build and deliver their product
• Enterprises and telcos deploying GPU clusters inside strict security perimeters
• Neoclouds standing up multi-tenant capacity at scale

Much of this work happens inside large-enterprise security and compliance processes. You need to be comfortable getting things done in those environments: understanding why the controls exist, designing within them, and knowing when and how to push for an exception.

This is a platform engineering role, not IT administration. You write code, build automation, and leave behind systems that run without you.

Our team requires individuals with:

• Focus on delivery and results
• Hunger to learn
• Ability to adapt
• Capability to thrive in a self-directed environment

Qualifications

• At least 5 years in platform, DevOps or SRE roles, with at least 3 years running production Kubernetes you built yourself
• Deep Kubernetes knowledge: networking (CNI, Gateway API, service mesh), storage (CSI), scheduling, operators, multi-cluster management
• Strong Linux chops, including networking, systemd, kernel and driver level troubleshooting
• Robust infrastructure as code and CI/CD experience with Terraform, Ansible and a GitOps toolchain
• Hands-on experience with enterprise identity and security: SSO, SAML and OIDC, IAM design, secrets management, network segmentation, security review processes
• Deep knowledge of at least one of AWS, GCP, or Azure. Preferably AWS
• Experience running on-call and incident response for production platforms
• Proficient in Python, Go or a similar language for automation and tooling

Requirements

• Design, deploy and operate Kubernetes clusters on bare metal, cloud and edge, including multi-tenant and air-gapped deployments
• Build cluster lifecycle automation: bare metal provisioning, immutable node images, cluster profiles and packages, upgrades and fleet management
• Operate GPU workloads on Kubernetes: device plugins, Dynamic Resource Allocation, GPU partitioning, node tuning, high-speed networking and storage
• Build and maintain infrastructure as code and CI/CD pipelines (Terraform, Ansible, GitLab or GitHub, Helm, GitOps)
• Implement identity and access: SSO and SAML, OIDC, Entra ID, Okta, AWS Organizations and IAM, role-based access across clusters and cloud accounts
• Harden platforms for enterprise and sovereign environments: network policy, secrets management, image signing and scanning, FIPS, audit logging, compliance evidence
• Own day-2 operations for managed service customers: monitoring, alerting, on-call rotations, patching, incident response and runbooks
• Work with customer security, network and platform teams to get access, approvals and changes through their processes
• Reserve time each week for pre-sales support, internal platform work and mentoring

Optional Experience and Skills

• Spectro Cloud Palette, PaletteAI and VerteX, or comparable cluster management platforms (Rancher, OpenShift, Cluster API)
• Bare metal provisioning with MAAS, Ironic, PXE or BCM, and immutable OS images such as Kairos
• GPU operators, NVIDIA and AMD device plugins, RDMA and InfiniBand on Kubernetes
• Air-gapped or sovereign deployments, FIPS 140-3, DISA STIG or similar hardening
• Multi-tenancy design: namespaces, virtual clusters, quotas, chargeback
• Security tooling such as Vault, cert-manager, OPA or Kyverno, Falco, Trivy or Cosign
• Telco or large enterprise experience

Bonus Experience and Skills

• Slurm or other batch schedulers alongside Kubernetes
• AWS Outposts or other hybrid cloud hardware
• Observability stacks: Prometheus, Grafana, OpenTelemetry, PagerDuty
• Rust
• Using Linux as your primary desktop workstation environment

Attributes that we value

• Transparency
• Grit
• Effectiveness
• Willingness to learn

Location and Hours

• Full time position
• Remote work environment
• 80% of your work schedule will be during the business time zones for Latin America and Canada
• Some customer meetings will occur each week at non-standard / nighttime hours
• Some customer engagements include on-site work at US customer sites, typically for workshops, platform bring-up and go-live. Expect occasional US travel
• Participation in an on-call rotation for managed service customers

References

• 3 references will be required

Notes

• AI systems may be used with the recruitment and screening processes for this job requisition