Infrastructure Engineer (Software-Defined Storage & Kubernetes)

Help Build the Future of Enterprise Storage

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.

What You'll Do

• 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

Required Qualifications

• 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

Required Technical Skills

• 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-Have Experience
• 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

Why This Opportunity?

This role offers the chance to influence the development of a strategic storage platform from the ground up. You'll work with modern cloud-native technologies, solve complex distributed systems challenges, and play a key role in shaping infrastructure that supports the next generation of analytics and AI solutions. If you're passionate about Kubernetes, distributed storage, automation, and building highly scalable infrastructure, we'd love to hear from you. Apply today and help build the storage foundation powering tomorrow's data and AI platforms.

Job Type & Location

This is a Contract position based out of San Diego, CA.

Pay and Benefits

The pay range for this position is $60.00 - $70.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Oct 14, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.