greenhouse
Senior DevOps Engineer
Seekr
Austin, USA
Full-time
Senior · 5+ years experience
Hybrid
Discovered 1 weeks ago
KubernetesTerraformAnsibleHelmKustomizePython
Free
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KubernetesTerraformAnsible
Key Skills for This Role
KubernetesTerraformAnsibleHelmKustomizePython
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About the Opportunity
We are looking for talented Platform/DevOps engineer with deep expertise in Kubernetes, Database technologies, Terraform, and Ansible to help scale Seekr’s AI platform across on-premises, cloud, and SaaS environments.
This role demands a strong foundation in Linux, networking (both traditional and Kubernetes), container technologies, and automation. You’ll collaborate closely with engineering teams, own critical infrastructure, and solve challenging operational and scalability problems in fast-paced, dynamic environments.
From your first day, you will make a valuable — and valued — contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to delight millions of consumers around the world while gaining meaningful experience across a variety of disciplines.
Active US Security clearance or eligibility and willingness to obtain a US Security clearance. Top Secret with SCI eligibility highly preferred.
Duties and Responsibilities
- Design, architect, and operate highly available, multi-tenant Kubernetes platforms across cloud and on-premises environments.
- Own the full networking stack — CNI, service mesh, ingress, DNS, load balancing, and network policy.
- Own database operations for production Postgres and Opensearch clusters — availability, performance, backup, and recovery.
- Partner with engineering teams to define platform and delivery standards.
- Automate infrastructure provisioning, configuration, and lifecycle management.
- Enforce security best practices across the platform — network policies, RBAC, secrets management, and vulnerability patching.
- Lead incident response and post-mortems for platform-level failures; implement systemic fixes.
- Proactively identify and remediate scalability and reliability risks across the platform.
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