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# Senior DevOps Engineer

- **Company:** SEEKR TECHNOLOGIES INC.
- **Location:** Reston, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Packaging, Microsoft Azure, Bash Shell, Border Gateway Protocol, Software as a Service, Cloud Computing, Cloud Engineering, Computer Networks, Databases, Linux, DevOps, Distributed Systems, Domain Name System (DNS), Elasticsearch, Failover, Python (Programming Language), Key Management, Network Troubleshooting, PostgreSQL, Query Optimization, Role-Based Access Control, Ansible, Prometheus, TCP/IP, Ceph (Software), Load Balancing, Autoscaling, Istio, Grafana, Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Bare Metal, Terraform, Oracle Cloud Infrastructure, OpenSearch, Golang
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-devops-engineer-reston-va--3a9e8e83-2859-47dd-814c-43884c133401

## About the Role

DevOps, DevOps, Software as a Service (SaaS), Ansible, Artificial Intelligence (AI), Database Technology, Cloud Computing, Linux Operating System, Automation, Security Clearance, * 5+ years in Platform Engineering, Infrastructure Engineering, or DevOps supporting large-scale distributed systems.

 * 5+ years of Kubernetes experience - cluster architecture, multi-tenancy, RBAC, scheduling, and autoscaling across cloud and bare-metal. Experience with k3s is a plus.
 * Strong Kubernetes networking knowledge - CNI (Calico, Cilium), service mesh (Istio, Traefik), ingress controllers, and NetworkPolicy.
 * Linux networking fundamentals - TCP/IP, DNS, BGP, and network troubleshooting.
 * Experience designing and operating infrastructure across hybrid environments - on-premises, edge, and multiple cloud providers (AWS, Azure, OCI).
 * Infrastructure as code proficiency - Terraform and Ansible.
 * Working knowledge of Helm/Kustomize for application packaging and deployment.
 * Proficiency in Python, Go, and Bash for automation and tooling.
 * Postgres experience - replication, HA/failover, connection pooling (PgBouncer), query tuning, backup/recovery, and Kubernetes operators (CloudNativePG).
 * Experience operating stateful workloads on Kubernetes including Elasticsearch/Opensearch and Postgres.
 * Experience operating storage solutions (CSI, Rook/Ceph).
 * Cloud-native observability experience - Prometheus, Grafana, Loki, and Tempo.
 * Demonstrated ability to deliver results on time and with high quality.
 * Effective communication skills and the ability to work effectively across multiple business and technical teams.

## Description

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.