DevOps Engineer- Contour Cloud
Listed on 2026-05-16
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IT/Tech
Cloud Computing, Systems Engineer, SRE/Site Reliability, Network Engineer
Company: Contour Data Solutions, LLC
Role: Dev Ops Engineer – Contour Cloud
Location: Remote / Hybrid (US‑based preferred)
Department: Cloud & Infrastructure Engineering
Reports To: Head of Engineering / Infrastructure/Cloud
Salary Range: $150K-$200K
Role OverviewContour Data Solutions is seeking a Dev Ops Engineer to support and evolve Contour Cloud, our private and hybrid cloud platform, and to work closely with the Cinch Software development team on cloud orchestration and platform automation.
This role sits at the intersection of cloud infrastructure, software development, network engineering, and storage platforms, with a heavy emphasis on Linux-based systems, virtualization, automation, and observability. The ideal candidate is hands‑on, infrastructure‑first, and comfortable bridging development and operations in a production cloud environment.
Key Responsibilities Cloud & Platform Engineering- Design, deploy, and maintain Linux‑based cloud infrastructure supporting Contour Cloud workloads
- Build and automate cloud deployments, platform services, and infrastructure workflows through scripting and code
- Support and enhance virtualization platforms, with a primary focus on Xen/XCP‑ng; VMware, NSX and vSphere experience
- Build, deploy, and maintain physical and virtual server platforms
- Work daily with Cinch Software to enable cloud orchestration and automation
- Ensure reliable cloud deployments and management workflows
- Improve integration between software‑driven automation and infrastructure real‑time operations
- Collaborate closely with the Cinch Software development team to support cloud orchestration, platform integration, deployment automation, and Infrastructure‑as‑Code–style workflows
- Develop and maintain automation using scripting and programming languages (e.g., Bash, Python, Go, etc.)
- Improve deployment consistency, reliability, and repeatability across environments
- Work directly with the Network Engineering team on IP address management (IPAM), network provisioning and lifecycle, and cloud and data center network integration
- Leverage Net Box for IPAM, DCIM, and infrastructure modeling
- Implement and maintain monitoring and observability platforms including Zabbix for infrastructure monitoring and Grafana for visualization and dashboards
- Assist in capacity planning, performance tuning, and fault analysis
- Participate in platform reliability and operational readiness initiatives
- Design, build, and maintain server and storage platforms, including ZFS‑based storage architectures and TrueNAS (Core or SCALE) platforms
- Support data integrity, performance, and scalability requirements across cloud and customer environments
- Strong Linux systems administration experience (required)
- Proven experience with scripting and automation, infrastructure or platform engineering in production environments
- Hands‑on experience with Xen virtualization, XCP‑ng (preferred), VMware NSX & vSphere
- Net Box (IPAM / DCIM)
- Zabbix
- Grafana
- Physical servers
- Virtual infrastructure
- ZFS‑based storage platforms
- TrueNAS
- Software development teams
- Network engineering teams
- Infrastructure and operations teams
- Experience in private cloud or MSP environments
- Familiarity with cloud orchestration and self‑service platform design
- Understanding of Dev Ops best practices across infrastructure and application life cycles
- Strong documentation and communication skills
- Experience supporting multi‑tenant or customer‑facing platforms
- Not a pure CI/CD or app Dev Ops role
- Not isolated infrastructure engineering
- This is a platform Dev Ops role, tightly coupled to product-driven cloud orchestration (Cinch), real production infrastructure, networking, storage, and observability
- Work on a real, production private cloud platform
- Direct impact on cloud architecture, automation, and platform design
- Tight collaboration with product development around Cinch Software
- Engineering‑first culture with deep infrastructure expertise
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