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Known employer, metro location and deep Kubernetes specialization yield moderate competition.
Requires deep Kubernetes, observability, and cloud-native experience, limiting cross-industry transferability.
Explicit 8+ engineering years, management experience, and strong Kubernetes/Go/Python requirements enforce strict screening.
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Lead and manage a team of engineers developing Kubernetes observability integrations including Go/Python data collectors, scalable backend services, and UI dashboards.
Drive technical strategy and architectural decisions for Kubernetes integrations and OpenTelemetry semantic conventions.
Ensure end-to-end delivery of software projects from instrumentation agents to frontend components, collaborating cross-functionally and managing operational excellence including support and incident response.
8+ years of software engineering experience, with strong background in large-scale distributed systems and high-cardinality data processing.
2+ years of direct engineering management experience in a fast-paced, agile environment.
Deep understanding of Kubernetes architectures and multi-cloud containerized environments (EKS, AKS, GKE).
Hands-on experience with Go and/or Python, Linux systems, and API development.
Experienced leader comfortable managing and scaling engineering teams focused on complex Kubernetes observability products.
Technically fluent in distributed systems, container orchestration, and operational incident management in production environments.
Familiar with open source contribution, Kubernetes tooling (Helm charts, Operators), and observability frameworks such as OpenTelemetry and Prometheus.