Principal Software Engineering Manager

Lead, grow, and develop a diverse, globally distributed team of software engineers, creating an inclusive culture of accountability, collaboration, customer focus, technical excellence, and continuous learning. Define and communicate the vision, architecture, roadmap, and execution strategy for a self-service platform that enables engineers, operators, and domain experts to author reusable automated tests that validate sensor and telemetry health. Partner across engineering, operations, product management, data science, and domain teams to translate operational risks and telemetry-quality requirements into scalable platform capabilities and drive adoption across the organization. Establish a clear platform ownership and extensibility model that enables users to safely create, validate, deploy, and maintain tests while the platform team owns the frameworks, execution infrastructure, reliability, security, governance, and support model. Drive architectural and engineering decisions for highly available, scalable services that process large volumes of telemetry with appropriate latency, resiliency, observability, security, privacy, and cost efficiency. Define and report against measurable service and platform outcomes using SLIs, SLOs, error budgets, OKRs, and operational metrics to evaluate reliability, adoption, test effectiveness, alert quality, engineering velocity, and customer impact. Establish mechanisms that improve telemetry and detection quality, including visibility into telemetry loss, stale or invalid sensor values, test coverage, false-positive and false-negative rates, detection latency, remediation time, and platform availability. Drive engineering fundamentals and live-site excellence, including design and code reviews, automated testing, CI/CD, secure development, observability, operational readiness, incident response, and durable improvements from incidents and near misses. Lead complex cross-organizational execution, clarifying priorities, resolving ambiguity, managing dependencies and risk, and influencing senior leaders and partner teams through sound technical judgment, data-driven recommendations, and clear communication. Build organizational capability and a strong talent pipeline through thoughtful hiring, coaching, career development, succession planning, and meaningful growth opportunities for engineers and future leaders. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include, but are not limited to the following specialized security screenings: Citizenship Verification: This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years of people-management experience, including responsibility for hiring, coaching, performance management, and career development.

leading the design, development, and operation of production software platforms, distributed systems, cloud services, developer platforms, or site reliability engineering solutions.

establishing engineering plans, technical roadmaps, service metrics, and measurable goals for a team or service.

partnering across organizational and disciplinary boundaries to deliver complex technical programs.

building test frameworks, validation platforms, developer platforms, or self-service systems that enable engineering or operational teams to author, deploy, and operate automated tests at scale.

with telemetry pipelines, time-series data, sensor validation, anomaly detection, or data-quality monitoring, including systems that identify and alert on production or service-health issues.

designing and operating highly available cloud services using SLIs, SLOs, error budgets, availability targets, capacity planning, observability, and incident-management practices.

Demonstrated success using metrics and OKRs to connect engineering investments to measurable outcomes, such as reliability, platform adoption, test effectiveness, operational efficiency, engineering velocity, and customer impact.

with modern software engineering and DevOps practices, including Git, CI/CD, infrastructure as code, automated unit and integration testing, secure development, and progressive deployment.

Production experience with cloud-scale data, compute, monitoring, and visualization technologies, such as Azure Data Explorer/Kusto, Azure Monitor, Event Hubs, Azure Functions, Azure Kubernetes Service, Power BI, Grafana, or equivalent technologies.

leading globally distributed engineering teams and influencing across organizational boundaries, with demonstrated success developing strong engineers and future leaders while creating alignment, accountability, and effective operating rhythms.

with or understanding of datacenter infrastructure and operations, including critical-environment systems, telemetry, monitoring, reliability, or other technologies used to operate large-scale datacenter environments.