Senior Vice President, Site Reliability Automation Engineer

Archer is collaborating with BNY to connect them with exceptional professionals for this role. We’re seeking a future team member for the role of Sr. Site Reliability Automation Engineer to join our Technology team. This role is located in Lake Mary, FL and Pittsburgh, PA. In this role, you’ll make an impact in the following ways: Design and implement end-to-end observability (logs, metrics, traces) across distributed systemsBuild Observability & MonitoringIntegrate and optimize tools such as AppDynamics, Dynatrace, Grafana, and SplunkDevelop dashboards, alerts, and telemetry frameworks to provide real-time visibilityIdentify gaps in monitoring and drive adoption of best practices Drive Automation & Reduce Toil Identify repetitive operational work and automate it using code and toolingBuild self-healing and auto-remediation solutionsEnable scalable, reliable processes through automation and engineering rigorImprove operational efficiency across production environments Support Production & Incident Triage Troubleshoot and resolve complex production issues across distributed systemsParticipate in incident management, triage, and root cause analysisImprove monitoring and automation based on recurring incident patternsCollaborate with support and engineering teams to improve system stability Improve Reliability & Performance Define and measure service health using SLIs/SLOs and key performance metricsIdentify system bottlenecks and reliability risksContribute to performance optimization and capacity planningProvide input into system architecture to improve resilience and scalability To be successful in this role, we’re seeking the following: 3–6 years of experience in Site Reliability Engineering, Software EngineeringStrong programming background in Java (preferred) or another modern languageExperience with at least one observability platform: AppDynamics, Dynatrace, Grafana, or SplunkHands-on experience supporting and troubleshooting production systemsStrong analytical and problem-solving skillsAbility to identify inefficiencies and drive automation Preferred Qualifications Experience with distributed systems or microservices architecturesFamiliarity with CI/CD pipelines and DevOps practicesExposure to cloud platforms and/or KubernetesExperience scripting (Python, Bash, etc.) for automationKnowledge of SRE concepts like observability, incident management, and reliability engineering