Infrastructure Engineer

TEKsystems•San Diego, CA

5d•$60 - $70•Remote

About The Position

We're seeking an experienced Infrastructure Engineer to help design, deploy, and scale a next-generation Software-Defined Storage (SDS) platform supporting modern analytics, AI, and data-intensive workloads. This is an opportunity to have a direct impact on platform architecture, technology selection, and infrastructure strategy while working with cutting-edge storage and Kubernetes technologies. You'll be part of a highly technical team responsible for building resilient, scalable, cloud-native storage solutions that power enterprise-scale environments.

Requirements

5+ years of experience in Infrastructure Engineering, Storage Engineering, or a related discipline
Hands-on experience operating distributed or large-scale storage systems in production
Strong Linux systems administration experience
Bachelor's degree in a technical field preferred; equivalent practical experience will also be considered
Software-Defined Storage
Experience deploying, administering, tuning, and troubleshooting SDS platforms such as: Ceph, MinIO, SeaweedFS, Apache Ozone, Similar distributed object storage technologies
Ceph experience is highly preferred
Kubernetes
Experience deploying and managing storage infrastructure in Kubernetes environments
Understanding of containerized infrastructure and storage integration patterns
Automation & Scripting
Experience developing operational automation using: Python, Go, Bash, Similar scripting languages
Distributed Systems
Understanding of: High availability architectures, Fault tolerance, Scalability principles, Distributed storage concepts

Nice To Haves

S3-compatible object storage architectures and protocols
Observability tools such as Prometheus, Grafana, and OpenTelemetry
Helm charts, Kubernetes Operators, and deployment automation frameworks
Storage security concepts including encryption, certificates, secrets management, and identity/access management
CI/CD pipelines and Infrastructure as Code (IaC)
Large-scale enterprise production environments
AI, analytics, or data platform workloads

Responsibilities

Deploy, configure, and operationalize software-defined storage solutions such as Ceph, MinIO, or similar platforms within Kubernetes environments
Evaluate emerging SDS technologies and contribute to platform architecture and engineering decisions
Develop automation for deployments, upgrades, and operational workflows using scripting and infrastructure tools
Create monitoring dashboards, alerting strategies, and operational runbooks to support highly available storage platforms
Perform performance benchmarking, scalability testing, and resiliency validation
Partner with infrastructure, security, platform, and application teams to integrate and harden storage solutions
Troubleshoot and resolve complex storage and infrastructure challenges in production environments
Contribute to architectural standards, documentation, and engineering best practices