Description
We are seeking a Principal Platform Engineer with deep expertise in Kubernetes, distributed systems, and highly available infrastructure to help evolve and operate the Object Storage platform.
This role will own the most complex platform-level technical challenges, including Kubernetes scheduling and resource management, pod failover, service discovery and load balancing, control-plane availability, node failure recovery, timeout behavior, and system resilience during degraded operating conditions.
The successful candidate will work across engineering teams to establish clear ownership, diagnose complex production issues, guide architectural decisions, and build scalable, reliable platform capabilities.
Key Responsibilities:
- Serve as the senior technical authority for Kubernetes platform architecture, reliability, and operational behavior.
- Own the investigation and resolution of complex issues involving:
- Pod failover and rescheduling
- Service availability and load balancing
- Control Plane operation as well as Node failover
- Network, API, and service timeouts
- Resource requests, limits, quotas, scheduling, affinity, taints, tolerations, and workload pinning
- Cluster capacity, performance, and scaling
- Distributed-system failure modes and recovery behavior
- Define and drive improvements to Kubernetes high availability, fault tolerance, and disaster-recovery strategies.
- Establish clear technical ownership and operating models for platform capabilities.
- Lead architecture, design, and implementation of platform improvements across multiple engineering teams.
- Develop repeatable approaches for diagnosing failures across application, Kubernetes, networking, storage, and infrastructure layers.
- Improve observability, including metrics, logs, traces, alerts, dashboards, and health indicators for platform services.
- Define and monitor service-level objectives and reliability measures for platform components.
- Lead or support major incident response, root-cause analysis, and corrective-action programs.
- Identify systemic issues rather than treating incidents as isolated events.
- Create technical standards, reference architectures, runbooks, and operational best practices.
- Mentor senior engineers and raise the organization’s expertise in Kubernetes and distributed systems.
- Partner with application, infrastructure, networking, security, and operations teams to resolve cross-functional issues.
- Evaluate new Kubernetes capabilities and platform technologies and determine where they provide meaningful value.
- Balance short-term incident resolution with long-term architectural improvements.
Benefits:
- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
- Investment in career development and growth
- Unconditionally inclusive work environment that celebrates individual uniqueness
Requirements:
- Significant experience designing, building, and operating production Kubernetes platforms.
- Deep understanding of Kubernetes architecture and core components.
- Strong knowledge of high-availability and failure-recovery patterns for distributed systems.
- Demonstrated experience troubleshooting complex production failures involving Kubernetes, networking, infrastructure, and application services.
- Experience with Kubernetes cluster upgrade process.
- Strong understanding of Linux systems, networking, DNS, TCP/IP, containers, and storage fundamentals.
- Experience with cloud or on-premises infrastructure and infrastructure-as-code practices.
- Proficiency in Go, Python, and Bash programming or scripting language.
- Experience developing automation, platform tooling, or operational frameworks.
- Strong observability and reliability engineering experience using metrics, logs, traces, alerting, and performance analysis.
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