Infrastructure Software Engineer

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 (Net Box, Nautobot, or similar)Experience with service dependency mapping, failure-domain analysis, or what-if / digital-twin style simulationAIOps 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. Let us help you find your next career opportunity! JOIN RED OAK TECHNOLOGIES!Red Oak Five (Core Values): Relationships First | Exceptional Quality and Service | Unwavering Integrity and Trust | Be Easy To Do Business With | Respect Everyone