Join a fully remote infrastructure team building and operationalizing next-generation software-defined storage to support modern analytics and AI workloads. This contract role is ideal for a hands-on storage engineer who enjoys working across Kubernetes, automation, and production environments to take solutions from proof of concept to readiness for scale.
Responsibilities
- Deploy, configure, and support software-defined storage solutions in Kubernetes-based environments
- Evaluate and prototype storage technologies to help inform platform selection and architecture decisions
- Create automation for deployments, upgrades, and ongoing operational tasks using scripting and infrastructure tools
- Build monitoring dashboards, alerts, and runbooks to improve visibility and supportability
- Run benchmarking, scalability, and resiliency testing to validate storage performance
- Partner with Kubernetes, security, infrastructure, and application teams to integrate and harden solutions
- Investigate complex storage and infrastructure issues in production and drive them to resolution
- Contribute to engineering documentation and best practices for storage platform operations
Skills
- 5+ years of hands-on experience in storage engineering, infrastructure engineering, or a related technical discipline
- Proven experience operating distributed or large-scale storage systems in production
- Strong experience with software-defined storage platforms such as Ceph, MinIO, SeaweedFS, Apache Ozone, or similar systems
- Working knowledge of deploying and managing storage solutions in Kubernetes environments
- Scripting experience for infrastructure automation using Python, Go, Bash, or similar tools
- Solid Linux administration skills for troubleshooting and maintaining storage nodes and infrastructure
- Understanding of distributed systems concepts, including high availability and fault tolerance
Preferred Skills
- Hands-on Ceph experience
- Experience with S3-compatible object storage protocols and architectures
- Familiarity with Prometheus, Grafana, or OpenTelemetry
- Exposure to Helm charts, Kubernetes operators, or similar deployment automation tools
- Knowledge of storage-related security practices such as encryption, certificate management, secrets management, and access controls
- Experience with CI/CD pipelines and infrastructure-as-code practices
- Background supporting enterprise-scale or large-scale production environments
- Exposure to AI, analytics, or large-scale data platform workloads
We’re committed to fostering a welcoming, inclusive environment where diverse perspectives, experiences, and working styles are valued. We encourage candidates from all backgrounds to apply and welcome applicants who bring curiosity, collaboration, and a shared commitment to respectful teamwork.
By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
Please apply through this online posting or by visiting our Job Board at Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $31 - $64 per hour based on qualifications and experience.
Americas-Software Engineer III (Senior Software-Defined Storage Engineer — Storage Platform) in san diego at Unknown Company
This position is listed as contract and able to be worked remotely.