insightsoftmax
Kubernetes Platform Engineer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 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.
Nice to have
- 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.
Full description
Insight Softmax is a leading organization in the fields of machine learning, data science, and high-performance computing (HPC). We are dedicated to providing innovative solutions in computing technology to solve complex problems in various sectors including research, science, manufacturing, finance, and data analytics.
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, and 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, and can thrive in a self-directed environment where you’ll figure out what’s needed to deliver rather than wait for detailed instructions
Key Responsibilities:
- 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.