Site Reliability Engineer - Observability; Global Security

Job Description

We are seeking a Staff, Site Reliability Engineer - Observability (Global Security) to own the resilience and "see-ability" of our mission-critical Identity and Access Management (IAM) platform. Your primary mission will be to design, build, and scale an end-to-end observability stack that provides deep, actionable insights into our distributed systems.

You will be the team's subject matter expert on monitoring, logging, tracing, and detection. By leveraging a diverse toolset including Elastic Stack, Dynatrace, Prometheus, Grafana, Splunk and Catchpoint
, your work will directly strengthen our detection capabilities and aggressively reduce our Mean Time to Detect (MTTD). This isn't just about collecting data; it's about transforming data into automated intelligence that proactively identifies and mitigates failures before they impact our users.

• Architect & Build: Design and implement a unified, multi-layered observability framework that provides a "single pane of glass" for our IAM services.
• Strengthen Detection: Develop sophisticated, high-signal/low-noise alerting strategies. This includes building anomaly detection models, predictive monitoring and critical integrity checks for unexpected configuration drifts, potential privilege escalation events and expiring certificates and keys to prevent security related outages.
• Reduce MTTD: Be the primary driver for initiatives, tooling, and process improvements focused on minimizing Mean Time to Detect and Mean Time to Resolution (MTTR).
• Tool Integration & Management: Master and integrate our full stack of observability tools:
  • Metrics & Dashboards: Prometheus & Grafana for time-series metrics and visualization.
  • Logging: Elastic Stack and/or Splunk for centralized logging, query optimization, and trend analysis.
  • APM & Tracing: Dynatrace for deep application performance monitoring and distributed tracing across microservices.
  • Synthetic & RUM: Catchpoint for proactive, outside-in monitoring of critical IAM user journeys (like login, token issuance, and password reset).
• Define "Normal": Establish and evangelize key Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for the IAM platform and build the dashboards that track them.
• Champion Resiliency: Partner with Infrastructure and Engineering teams to use observability data to inform chaos engineering tests, performance tuning, and capacity planning.
• Evangelize Best Practices: Train and mentor system engineers on observability best practices, instrumentation (e.g., Open Telemetry), and building "observable-by-default" applications.

• Must Have:
• Experience: 7+ years in a senior Observability, SRE, or Dev Ops role with a focus on monitoring highly-available, distributed systems.
• Metrics & Dashboards: Deep, hands-on expertise with Prometheus (incl. PromQL) and building complex, actionable dashboards in Grafana
  .
• Logging Expertise: Proven experience managing and extracting value from large-scale logging platforms like ELK (Elasticsearch, Logstash, Kibana) or Splunk
  .
• APM Mastery: Demonstrable experience using an APM tool like Dynatrace
  , New Relic, or App Dynamics to trace, debug, and optimize application performance.
• Synthetic Monitoring:
  
  Experience with synthetic monitoring tools like Catchpoint to model and validate critical user flows.
• Core Concepts: A strong "three pillars" foundation (metrics, logs, traces) and a passion for data-driven reliability.
• Automation: Strong scripting skills (e.g., Python, Go, Bash) and experience with Infrastructure as Code (Terraform, Ansible) for managing your monitoring stack.
• Communication: Excellent ability to communicate complex technical concepts to diverse audiences, from junior engineers to senior leadership.

• IAM Context: Experience monitoring IAM-specific protocols and services (e.g., OAuth2, OIDC, SAML, LDAP, SCIM).
• Trust & Integrity Monitoring: Experience building monitors for configuration drift, anomalous privilege escalation, and certificate lifecycle management.
• Anomaly Detection: Practical experience implementing or using AIOps and machine-learning-based anomaly detection systems.
• Cloud Native: Deep experience with observability in a Kubernetes and/or public cloud (AWS, GCP, Azure) environment.
• Distributed Tracing: Experience with Open Telemetry, Jaeger, or Zipkin.
• Chaos Engineering: Familiarity with chaos engineering principles and tools (e.g., Chaos Toolkit, Gremlin).

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders who support your development through coaching and…