Infrastructure Software Engineer in United

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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.

• 5+ years in infrastructure, platform, SRE, or network automation, with hands-on experience across both cloud and on-premises environments \n

• Working knowledge of L2/L3 networking: routing protocols (e.g. BGP), overlay networks (e.g. VXLAN), and the Linux networking stack \n

• Experience building Python data pipelines, including schema definition and validation tooling \n

• Experience modeling and processing data in analytical stores (columnar databases, graph databases, or similar) \n

• Experience visualizing graph/topology data on the web (D3, Cytoscape, or similar) and handling the performance and readability challenges of large graphs \n

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• Design and maintain an infrastructure topology data model spanning physical, logical, and service layers - schemas, node and edge metadata, and cross-layer relationships \n

• Build read-only, low-impact collectors and parsers that gather data from configuration management tools, network devices, hypervisors, and metrics/log systems \n

• Build pipelines that reconcile declared configuration against observed state to detect and report drift \n

• 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 \n

• Design dependency-based blast radius calculation, failure-domain analysis, and change scenario simulation \n

• 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 \n

• Define data accuracy and freshness metrics; own the reliability and performance of the system itself \n

• Gather requirements from consuming teams and expand adoption in stages (static artifacts * hosted service) \n

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• Understanding of hypervisor-based virtualization and compute host operations \n

• Understanding of the data models and limitations of observability stacks (Prometheus, Open Telemetry, logging and tracing systems) \n

• Sound judgment in designing data collection that minimizes impact on production systems \n

• 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 \n

• Innovation - Drive innovation by proposing and implementing creative solutions to challenges. Stay abreast of industry trends and technologies, bringing fresh ideas to the table \n

• 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 \n

• Teamwork - Embrace a collaborative and inclusive approach, working seamlessly with colleagues to achieve common goals \n

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• Experience operating large-scale multi-region cloud or IaaS environments \n

• Experience building or integrating CMDBs, inventories, or network sources of truth (NetBox, Nautobot, or similar) \n

• Experience with service dependency mapping, failure-domain analysis, or what-if / digital-twin style simulation \n

• AIOps experience: alert correlation and noise reduction, anomaly detection, automated root cause analysis, and building incident response automation pipelines \n

• 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 \n

• Experience with automated diagram (draw.io, Graphviz, or similar) \n

• Experience collaborating with security teams on exposure surface or attack path visualization \n

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Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace 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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