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Staff Software Engineer, DevOps

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🔥 0 minutes ago

☕ Washington – Remote

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💵 $155.9k - $233.8k / year

⏰ Full Time

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Slate Auto

Slate Auto

201 - 500 employees

🚘 Automotive

🏭 Manufacturing

🚗 Transport

Automotive • Manufacturing • Transport

Slate Auto is a manufacturer of a radically simple, highly customizable electric pickup that can be configured as a pickup or fastback SUV. The company sells directly to consumers with an online configurator called the Slate Maker, a reservation model, and an accessories marketplace for swaps and upgrades. Slate Auto emphasizes affordability, practical design, and easy ownership with integrated charging options and third‑party service and charging network partnerships.

📋 Description

• Set the technical direction for building, running and operating Slate's infrastructure • Architect and build a hybrid Kubernetes platform across Amazon EKS and self-managed clusters on virtualized infrastructure • Own the reference architecture for cluster provisioning, multi-cluster management, networking, identity, secrets, storage and upgrades • Evolve the multi-account AWS environment, including governance, guardrails, IAM, networking and DNS connecting cloud sites • Decide where workloads live and how they connect • Establish on-call rotation, SLOs, error budgets, alerting standards, incident response and blameless postmortems • Build observability across metrics, logs, traces and synthetic checks • Partner with Digital, Data Engineering, Manufacturing Systems and enterprise application teams • Provide CI/CD templates, deployment patterns, reusable infrastructure libraries and self-service environments • Shape platform support for manufacturing, plant-floor workloads, data pipelines and AI/agentic workloads • Implement least-privilege access, policy guardrails, secrets management and software supply chain controls • Manage cloud cost visibility and discipline through tagging, right-sizing and commitment planning • Write production infrastructure and code weekly • Lead design reviews, mentor engineers and create documentation and runbooks • Participate in the on-call rotation

🎯 Requirements

• 10+ years in DevOps, site reliability, platform or infrastructure engineering, including several years setting technical direction for production platforms • Extensive hands-on experience designing and operating production AWS environments across many accounts, including multi-account governance, identity and access management, VPC networking and hybrid connectivity, DNS, EKS, containers, serverless and managed data services • Proven experience running Kubernetes in production on EKS and self-managed clusters built on VMs or bare metal, including cluster lifecycle, CNI networking, ingress, storage, RBAC and upgrades • Strong experience with infrastructure as code; AWS CDK strongly preferred • Strong Python skills required • Ability to read, understand and make targeted changes to TypeScript • Experience building delivery pipelines with GitHub Actions or similar tools • Experience deploying to Kubernetes with GitOps tooling such as Argo CD or Flux, Helm and Kustomize • Track record of establishing SLOs, observability, incident management and on-call practices, and participating in on-call • Solid grasp of networking across cloud and on-premises environments, including routing, VPN, DNS, load balancing, certificates and firewalls • Ability to drive architectural decisions across teams without direct authority, write clear design documents and align stakeholders • Comfort in a fast-moving, resource-constrained startup environment • Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience • Applicants must be authorized to work in the United States on a permanent basis • AWS Professional or Specialty certification is a plus • Experience with Rancher or a comparable multi-cluster management platform is a strong plus • Exposure to manufacturing, industrial or OT environments is nice to have • Experience running GPU, machine learning or AI and agentic workloads on Kubernetes is nice to have • Familiarity with enterprise virtualization platforms such as VMware is nice to have • Policy as code, service mesh or GitHub Enterprise administration experience is nice to have

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • Vacation • 401k • Equity program eligibility • Discretionary annual incentive program eligibility

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