Senior Site Reliability Engineer

JOB SUMMARYThe Site Reliability Engineer will be responsible for ensuring the reliability, availability, performance, and operational visibility of critical cybersecurity platforms and services within Cyber Data Risk & Resilience. This role entails maintaining production systems, instrumenting infrastructure and application layers, developing effective monitoring and actionable alerting, supporting incident response, and continuously enhancing dashboards for engineering, operations, risk, and executive stakeholders.
Key Responsibilities
Maintain and improve the reliability, availability, scalability, and performance of cybersecurity platforms, services, and supporting infrastructure.
Support day-to-day operational stability by monitoring system health, identifying risks, responding to incidents, and driving timely resolution of service-impacting issues.
Instrument infrastructure, applications, services, APIs, data pipelines, and cloud components to provide end-to-end visibility into system behavior and service health.
Design, build, and continuously refine monitoring, alerting, logging, tracing, and observability capabilities across distributed systems and cloud environments.
Develop meaningful and actionable alerts that reduce noise, improve signal quality, and enable teams to respond quickly to emerging issues.
Define and track key reliability metrics, including availability, latency, throughput, error rates, saturation, service-level indicators, service-level objectives, and operational risk indicators.
Build, maintain, and enhance dashboards for engineering, operations, product, risk, and executive stakeholders, ensuring information is accurate, timely, and decision‑ready.
Continuously modify and improve executive dashboards to support regular leadership reviews of service health, reliability trends, incidents, risks, and operational performance.
Partner with engineering, cybersecurity, infrastructure, cloud, and application teams to identify reliability gaps and implement long-term improvements.
Participate in incident response, root‑cause analysis, problem management, and post‑incident reviews to prevent recurrence and improve operational maturity.
Automate operational tasks, health checks, reporting, deployment validation, and recovery procedures to improve efficiency and reduce manual effort.
Collaborate with application and platform teams to embed reliability, monitoring, and supportability requirements into the software development lifecycle.
Support CI/CD, DevOps, and release management practices by validating operational readiness, monitoring coverage, rollback plans, and production support requirements.
Contribute to resiliency engineering efforts, including capacity planning, performance tuning, failover validation, disaster recovery readiness, and chaos/resilience testing where applicable.
Ensure monitoring, alerting, dashboards, and operational processes align with enterprise security, risk, compliance, and governance standards.
Required Qualifications
10+ years of experience in site reliability engineering, systems engineering, software engineering, DevOps, infrastructure engineering, or production operations.
Strong experience supporting highly available, distributed, cloud‑based, or mission‑critical technology platforms.
Hands‑on experience with observability practices, including monitoring, alerting, logging, metrics, tracing, dashboards, and service health reporting.
Experience instrumenting applications, services, APIs, infrastructure, databases, and cloud components to enable end‑to‑end operational visibility.
Strong understanding of reliability engineering concepts, including SLIs, SLOs, SLAs, error budgets, incident management, capacity management, and operational readiness.
Experience designing actionable alerts that support rapid issue detection, triage, escalation, and resolution.
Experience building and maintaining operational dashboards for technical teams, support teams, and senior/executive stakeholders.
Strong scripting or programming skills using Python, Java, Bash, PowerShell, or similar languages for automation and operational tooling.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with Infrastructure-as-Code tools such as Terraform or similar technologies.
Experience working with CI/CD pipelines, DevOps workflows, release processes, and production support models.
Experience troubleshooting distributed systems, REST services, event‑driven architectures, messaging platforms, and service‑to‑service integrations.
Familiarity with relational and non‑relational databases, such as PostgreSQL, MSSQL, MongoDB, or similar platforms.
Strong analytical, troubleshooting, and problem‑solving skills with the ability to diagnose complex technical issues across multiple layers of the stack.
Strong written and verbal communication skills, including the ability to translate technical issues into clear business and executive‑level updates.
Preferred Qualifications
Experience supporting cybersecurity, risk, resilience, compliance, or enterprise security platforms.
Experience with observability and monitoring tools such as Splunk, Grafana, Prometheus, Datadog, Dynatrace, New Relic, Azure Monitor, CloudWatch, OpenTelemetry, or similar platforms.
Experience creating executive‑level service health dashboards, reliability scorecards, operational risk reporting, or incident trend reporting.
Experience developing automated health checks, synthetic monitoring, service dependency maps, and operational runbooks.
Experience with incident response, major incident management, post‑mortems, root‑cause analysis, and problem management practices.
Experience with containerized and cloud‑native environments, including Kubernetes, Docker, serverless services, or managed cloud platforms.
Experience with distributed messaging or streaming platforms such as Apache Kafka.
Familiarity with cloud‑native security, governance, and policy tooling such as Azure Policy, AWS SCP, GCP constraints, or related controls.
Familiarity with Cloud Security Posture Management tools such as Wiz, Prisma, CloudGuard, or similar platforms.
Experience with cloud‑based AI services such as Azure AI, AWS Bedrock, or Google Vertex AI, particularly from an operational monitoring, reliability, or governance perspective.
Experience supporting Linux and Windows environments through scripting, automation, monitoring, and operational troubleshooting.
Exposure to web technologies, APIs, front‑end services, or user‑facing application monitoring.
#J-18808-Ljbffr