Senior Site Reliability Engineer

Job Description: At Nimbus Data Systems, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Nimbus Data Systems is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Nimbus Data Systems, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! This job is responsible for partnering with leaders across engineering and technology to define objective reliability goals for services. Key responsibilities include composing observability designs through instrumentation and dashboards, identifying root causes of complex/impactful issues, partnering with cross functional teams to deliver sustainable design patterns, and driving early adoption of non-functional production support requirements. Job expectations include automating services to improve reliability and efficiency and influencing a culture of innovation and continuous improvement. Position Summary: The Senior GCP Site Reliability Engineer acts as an advanced senior individual contributor responsible for designing, implementing, and maturing reliability engineering capabilities. The role focuses on complex technical problem solving, reliability architecture, automation strategy, observability maturity, platform resiliency, and operational excellence. The ideal candidate can operate across both strategy and execution: defining patterns, building automation, mentoring engineers, resolving hard platform issues, and driving long-term reliability improvements. Key Responsibilities: Serve as a senior technical authority for GCP platform reliability, resiliency, observability, automation, and production readiness Design and implement advanced reliability patterns for Azure landing zones, private networking, DNS, firewalls, regional resiliency, service health checks, and workload onboarding Lead complex platform reliability initiatives such as secondary-region readiness, egress/ingress observability, private DNS resolver monitoring, GenAI platform health checks, and enterprise dashboard automation Define and mature SLIs, SLOs, reliability indicators, alerting standards, and service health reporting for Azure platform services Develop reusable Terraform modules, automation frameworks, and CI/CD patterns that improve consistency, compliance, and operational quality Drive observability improvements using Log Analytics, Dynatrace, Resource Graph, dashboards, and enterprise monitoring tools Identify systemic reliability risks and translate them into engineering roadmaps, remediation plans, automation opportunities, and operational controls Lead deep technical investigations for major incidents, recurring problems, platform defects, or service degradation events Partner with security and governance teams to integrate IAM, policy-as-code, vulnerability remediation, control validation, and audit readiness into Azure platform operations Provide technical design input for new Azure services and workloads to ensure operational readiness before production adoption Mentor SRE engineers and raise the technical bar for automation, troubleshooting, documentation, resiliency design, and production support Create executive-ready technical summaries, reliability narratives, and recommendations for leadership review Establish reusable standards for runbooks, dashboards, health checks, problem records, post-incident reviews, and production-readiness gates Designs solutions to visualize key production support metrics enabling Operational Readiness and Site Reliability Engineer teams to identify scenarios requiring intervention Develops software solutions and/or improved processes to address work identified as 'toil' by collaborating with key partners to identify, track and remediate processes to free time allocated to reliability Partners with Development and Infrastructure teams to create error budget policies prioritizing reliability stories that fall below Service Level Objective (SLO) thresholds and suggests code optimizations, additional instrumentation and/or logging structures to gain service reliability visibility Identifies and plans for capacity bottlenecks, vulnerabilities and opportunities for reliability improvement, such as low level error rates and 'noise', and reduces manual support effort and/or improves system reliability Assesses monitoring for new changes