Infrastructure Software Engineer

Job Description

Red Oak Technologies is a leading provider of comprehensive resourcing solutions across a variety of industries and sectors including IT, Marketing, Finance, Business Operations, Manufacturing and Engineering.

Our client is a software and services company specializing in cloud computing and storage . They are looking for an Infrastructure Software Engineer to join their team. This role is a Direct Hire / FTE / Permanent / Full Time position. Position will be REMOTE . Candidates must be residing within the United States of America in order to be considered for the role.

**FTE / Direct Hire / Permanent / Full Time**

**Full Remote Role**

**If selected candidate is in the Bay Area, they will need to work 3 days a week in the Mountain View HQ office**

Position Summary:

In this role you will design and build a system that unifies scattered configuration, inventory, and observability data into a single infrastructure knowledge graph, and delivers multi-layer topology maps and service dependency maps on top of it. Users can overlay physical, logical, and service layers selectively, drill down hierarchically from a region to an individual node, and jump from any component to its related alerts, tickets, runbooks, and dashboards. The system serves as a shared operational view for the network, compute, SRE, and security teams, and becomes the foundation for fast root cause analysis, failure-domain analysis, and pre-change impact assessment.

Position Duties:

• Design and maintain an infrastructure topology data model spanning physical, logical, and service layers — schemas, node and edge metadata, and cross-layer relationships
• Build read-only, low-impact collectors and parsers that gather data from configuration management tools, network devices, hypervisors, and metrics/log systems
• Build pipelines that reconcile declared configuration against observed state to detect and report drift
• Develop the interactive web frontend and backend services providing multi-layer, hierarchical drill-down navigation, directional traffic and dependency flow visualization, and deep links into related systems
• Design dependency-based blast radius calculation, failure-domain analysis, and change scenario simulation
• Provide topology and dependency data as the foundation for alert correlation and automated root cause analysis (RCA), and integrate with incident response, alerting, and ticketing systems and AIOps pipelines — including human-in-the-loop review and approval workflows
• Define data accuracy and freshness metrics; own the reliability and performance of the system itself
• Gather requirements from consuming teams and expand adoption in stages (static artifacts → hosted service)

Position Requirements:

• Understanding of hypervisor-based virtualization and compute host operations
• Understanding of the data models and limitations of observability stacks (Prometheus, Open Telemetry, logging and tracing systems)
• Sound judgment in designing data collection that minimizes impact on production systems
• Ownership -Take ownership of projects, ensuring excellence in execution and accountability for results. Foster a sense of responsibility and pride in delivering high-quality work
• Innovation - Drive innovation by proposing and implementing creative solutions to challenges. Stay abreast of industry trends and technologies, bringing fresh ideas to the table
• Customer focus - Understand and prioritize customer needs, striving to exceed expectations in every interaction. Collaborate with cross-functional teams to ensure the delivery of customer-centric solutions
• Teamwork - Embrace a collaborative and inclusive approach, working seamlessly with colleagues to achieve common goals

Education & Experience:

• 5+ years in infrastructure, platform, SRE, or network automation, with hands-on experience across both cloud and on-premises environments
• Working knowledge of L2/L3 networking: routing protocols (e.g. BGP), overlay networks (e.g. VXLAN), and the Linux networking stack
• Experience building Python data pipelines, including schema definition and validation tooling
• Experience modeling and processing data in analytical stores (columnar databases, graph databases, or similar)
• Experience visualizing graph/topology data on the web (D3, Cytoscape, or similar) and handling the performance and readability challenges of large graphs

Preferred Requirements:

• Experience operating large-scale multi-region cloud or IaaS environments
• Experience building or integrating CMDBs, inventories, or network sources of truth (NetBox, Nautobot, or similar)
• Experience with service dependency mapping, failure-domain analysis, or what-if / digital-twin style simulation
• AIOps experience: alert correlation and noise reduction, anomaly detection, automated root cause analysis, and building incident response automation pipelines
• Experience applying LLM-based agents to operational workflows — particularly using LLMs to parse and summarize unstructured sources (documents, free-form configuration, alert text) wrapped in deterministic validation and human review
• Experience with automated diagram generation (draw.io, Graphviz, or similar)
• Experience collaborating with security teams on exposure surface or attack path visualization

Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it’s like to be at the top; connect with one of our recruiters and apply today.

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