Staff Software Engineer, DevOps

Slate Auto

. Set the technical direction for building, running and operating Slate's infrastructure .

Posted 10/9/2026full-timeRemote • Washington • United StatesLead💰 $155,854 - $233,781 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in architecting and managing AWS environments, particularly with Kubernetes and hybrid cloud infrastructures. Proficient in implementing observability, incident management, and CI/CD practices while driving architectural decisions across teams.

Highest-signal resume keywords

AWS Environment DesignKubernetes ManagementInfrastructure As CodePython ProgrammingObservability Implementation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

KubernetesAWS EKSInfrastructure As CodePythonTypeScriptGitHub ActionsGitOpsNetworkingSLO EstablishmentCloud Cost Management

Soft Skills

LeadershipMentoringStakeholder AlignmentClear CommunicationAdaptability

Tools & Technologies

AWS CDKArgo CDFluxHelmKustomizeVMwareRancher

Certifications & Qualifications

AWS Professional CertificationAWS Specialty Certification

Industry Keywords

DevOpsSite Reliability EngineeringPlatform EngineeringManufacturing SystemsAI Workloads

Tech Stack

Tools & technologies

AWSCloudDNSFirewallsFluxKubernetesPythonTypeScriptVMware

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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