Kubernetes Platform Engineer

Job not on LinkedIn

🕒 3 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Insight Softmax Consulting

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

Insight Softmax Consulting is a data-focused consulting firm that combines data science, software engineering, and high-performance computing to solve business and research problems end-to-end. They emphasize defining business problems first and then delivering solutions in data analytics, AI/ML (including generative AI and LLM training), and last-mile HPC infrastructure (cloud-native HPC, accelerated computing for CFD and advanced scientific workloads). The company also offers open-source expertise and services to make powerful compute and AI capabilities accessible to enterprises and research organizations. Offices are listed in San Francisco, USA and Zürich, Switzerland.

📋 Description

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

🎯 Requirements

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

🏖️ Benefits

• Remote work environment • On-call rotation participation for managed service customers • Occasional US travel for customer workshops, platform bring-up and go-live

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