Back
Known SaaS brand, remote flexibility and metro location increase applicant density but seniority and specialization moderate competition.
Medium because Kubernetes and observability skills transfer across industries but require specific platform and cloud experience.
High due to explicit 8+ years, 2+ years people-management and mandatory Kubernetes, Go/Python and observability expertise.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and mentor a team of Go and Python engineers developing Kubernetes integrations, observability agents, backend services, and UI dashboards.
Drive technical strategy, including architectural decisions around Kubernetes and OpenTelemetry integrations.
Ensure end-to-end delivery and operational excellence of software projects, including incident response and DevOps responsibilities.
8+ years of software engineering experience with expertise in large-scale distributed systems and high-cardinality data processing.
2+ years of direct engineering management experience in fast-paced, agile environments.
Deep understanding of Kubernetes architectures and experience with multi-cloud containerized environments (EKS, AKS, GKE).
Hands-on experience with Go and/or Python, Linux systems, API development, and handling customer incidents in production.
Experienced in managing and scaling engineering teams focused on Kubernetes observability and container orchestration.
Strong technical leader with background in distributed systems, Kubernetes integrations, and operational incident management.
Familiar with open-source contributions and emerging technologies such as AI workflows, OpenTelemetry, and Helm/Kubernetes tooling.