Staff Site Reliability Engineer Observability

Observability Strategy & Implementation:

Design and implement comprehensive observability solutions tailored for edge computing environments, including monitoring, logging, tracing, and metrics collection, to provide deep visibility into system performance and health across distributed remote facilities.

Define and maintain Service Level Indicators (SLIs), Service Level Objectives (SLOs), and business KPIs to measure and enhance system reliability in edge and centralized infrastructure.

Build and optimize dashboards, visualizations, and alerting systems to enable real-time insights and rapid incident response for edge nodes and remote facilities.

Implement distributed tracing and log aggregation systems to troubleshoot complex issues in edge computing environments.

System Reliability & Performance in Edge Computing:

Collaborate with engineering teams to ensure applications and infrastructure at edge locations are designed with observability in mind, incorporating best practices for instrumentation and monitoring in resource-constrained environments.

Drive proactive identification of issues in edge facilities through advanced observability tools, reducing Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) across distributed systems.

Lead incident postmortems, analyzing root causes specific to edge environments and implementing observability-driven improvements to prevent recurrence.

Tooling & Automation for Edge Environments:

Develop and maintain tools, scripts, and automation to enhance observability pipelines, optimizing for the unique challenges of edge computing, such as bandwidth limitations and intermittent connectivity.

Evaluate and integrate industry-standard observability tools (e.g., Prometheus, Grafana, ELK Stack, OpenTelemetry) and recommend solutions tailored for edge computing use cases.

Optimize observability data storage, retention, and querying to balance performance, cost, and scalability across a large number of remote facilities.

Leadership & Collaboration:

Mentor and guide junior SREs and engineers on observability best practices for edge computing, fostering a culture of reliability and proactive monitoring.

Partner with solution, engineering, and business teams to align observability efforts with business objectives, ensuring seamless operation of edge and centralized systems.

Lead cross-functional initiatives to improve observability, reliability, and operational efficiency across distributed edge infrastructure.

Continuous Improvement:

Stay current with emerging observability trends, tools, and methodologies, particularly those suited for edge computing and distributed systems, and advocate for their adoption.

Contribute to the development of observability standards, runbooks, and documentation tailored for edge environments to ensure consistency and scalability.

Drive cost optimization for observability infrastructure while maintaining high-quality monitoring and alerting capabilities across remote facilities.

7+ years of experience in Site Reliability Engineering, Observability Engineering, or a related field.

5+ years of experience with observability tools and platforms such as Prometheus, Grafana, Splunk, ELK, OpenTelemetry, or similar.

3+ years of experience with microservices, containerized environments (e.g., Kubernetes, Docker), and distributed systems, particularly in edge deployments.

Experience with implementation of AIOps.

Demonstrated ability to handle observability challenges in environments with intermittent connectivity, high latency, or geographically dispersed infrastructure.

Strong proficiency in programming/scripting languages (e.g., Python, java) for automation and tooling in distributed environments.

Expertise working in edge computing environments with a large number of remote facilities, managing observability for distributed, high-latency, or resource-constrained systems.

Experience with OpenTelemetry or other open-source observability frameworks optimized for edge computing.

Familiarity with chaos engineering principles to validate observability systems in edge environments.

Certifications in cloud platforms (Google Cloud Professional certification) or Kubernetes.

Strong problem-solving skills with a proactive, analytical mindset, particularly for addressing edge computing challenges.

Excellent communication and collaboration skills to work effectively with cross-functional teams across centralized and remote locations.

Ability to mentor and lead technical initiatives with a focus on observability and reliability in edge environments.

Comfortable working in a fast-paced, dynamic environment with a focus on delivering customer value.

Knowledge of incident management processes and tools (e.g., ServiceNow, xMatters, Opsgenie) tailored for distributed systems.

Deep understanding of monitoring, logging, and tracing concepts, including metrics collection, log aggregation, and distributed tracing for edge and centralized systems.

Familiarity with cloud infrastructure, CI/CD pipelines, and edge-specific deployment patterns.

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.