The ideal candidate is outcome driven, leads across the stack, navigates the gap between engineering and executive layer, and can context switch seamlessly between executive presentation and all aspects of constructing concise dashboards.
Responsibilities
Observability and Executive Dashboards
Design and maintain unified observability dashboards that consolidates metrics, logs, traces, events, and application/system data with the purview of Architecture and Infrastructure environments
Develop executive-level views of service health, availability, performance, customer impact, operational risk, and capacity trends
Translate complex technical data into clear insights that support prioritization, risk management, and operational decisions
Define dashboard standards that provide consistent terminology, visualizations, service hierarchies, and health indicators
Ensure dashboards emphasize actionable signals and trends rather than simply displaying large volumes of telemetry
SLO and SLI Engineering
Partner with application owners, product teams, and business stakeholders to define meaningful SLIs and SLOs
Establish indicators for availability, latency, throughput, error rates, data quality, user experience, and critical business transactions
Develop error-budget policies and reporting that help teams balance reliability, risk, and delivery speed
Standardize SLO definitions, measurement methods, ownership, and governance across applications
Automate the collection, calculation, visualization, and reporting of SLO performance
Identify services that lack adequate monitoring or reliability targets and develop plans to close those gaps
Data Analysis and Operational Intelligence
Analyze observability data to identify performance degradation, reliability risks, recurring incidents, capacity constraints, and emerging trends
Correlate technical telemetry with customer experience and business outcomes
Develop health scores, trend analyses, anomaly detection, and predictive indicators.
Perform deep-dive analysis to determine the root causes and broader patterns behind incidents and service degradation
Produce concise operational insights and recommendations for executive and technical audiences
Measure the effectiveness of observability investments using outcomes such as reduced detection time, faster recovery, fewer recurring incidents, and improved SLO attainment
Leadership
Serve as a senior technical authority for observability, monitoring, and reliability measurement
Develop observability strategies, standards, roadmaps, and adoption models.
Work with executives, architects, application teams, site reliability engineers, security teams, and operations leaders
Coach engineering teams on instrumentation, dashboard design, SLO development, and data-driven problem-solving
Lead technical evaluations and make recommendations regarding observability platforms and capabilities
Promote a culture in which operational decisions are based on measurable service performance and customer impact
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent work experience
10+ years of experience in observability engineering in observability engineering, site reliability engineering, platform engineering, production operations, or a related discipline
Hands-on experience with enterprise observability platforms such as Splunk, Grafana, Prometheus, ELK, Nagios, Kafka, or comparable technologies
Demonstrated experience defining and implementing application SLIs, SLOs, error budgets, and service-health measurements
Strong experience analyzing metrics, logs, traces, events, and application-performance data
Experience designing dashboards for both technical teams and executive decision makers
Strong understanding of distributed systems, cloud platforms, microservices, containers, APIs, and application dependencies
Experience with telemetry instrumentation and standards
Proficiency with data-querying or analytical languages
Experience automating observability configurations through APIs, scripting, infrastructure as code, or CI/CD pipelines
Strong analytical, problem-solving, visualization, and communication skills
Ability to translate technical findings into business impact, risk, and recommended action
Preferred Qualifications
Experience establishing or modernizing an enterprise-wide observability program
Experience integrating observability data with Jira, ServiceNow, or similar operational platforms
Familiarity with reliability engineering, incident management, capacity planning, and FinOps practices
Experience developing service maps, application health scores, executive scorecards, or predictive operational analytics
Knowledge of statistical analysis and anomaly detection
Expertise operating and troubleshooting container platforms (Kubernetes, Docker)
Relevant cloud, observability, SRE, data analytics, or platform-engineering certifications
This position is based in our Reston, VA office and offers a hybrid work schedule.
The pay range is $164,300 - $222,300.
The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.
Verisign is an equal opportunity employer. That means we recruit, hire, compensate, train, promote, transfer, and administer all terms and conditions of employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, age, protected veteran status, disability, or other protected categories under applicable law.
Additional Information
- Our Careers Page
- Our Benefits Summary
- Verisign in the Community
- Our EEO Statement
- Our Privacy Notice for Job Applicants/Candidates
- Reasonable Accommodations
Staffing agency policy: No fees will be paid for unsolicited resumes submitted to Verisign or our employees by third parties.
