Lead Site Reliability Engineer

Job Responsibilities

• Demonstrate and champion site reliability culture and practices, exerting technical influence across your team
• Lead initiatives to improve reliability and stability of applications and platforms using data-driven analytics
• Collaborate with team members to define service level indicators and work with stakeholders to establish service level objectives and error budgets
• Provide technical leadership and guidance for medium to large-sized products
• Proactively identify and resolve technology-related bottlenecks in your areas of expertise
• Avoid financial losses by Actively resolving technology-related issues during major incidents
• Document and share knowledge within the organization through internal forums and communities of practice
• Use enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements
• Lead reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness)
• Ensure traceability/auditability, resiliency, and security controls
• Offer mentorship and advice to other engineers, fostering a culture of continuous improvement
• Drive collaboration with stakeholder partners to establish reasonable service level objectives and error budgets

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• At least 5 years as an SRE and at least 10 years in a highly regulated industry such as Banking
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and site reliability best practices, with the ability to implement these practices within an application or platform
• Familiarity with cloud-native observability, auto-scaling, and infrastructure-as-code in a public cloud environment (AWS, Azure, or GCP)
• Fluency in at least one programming language (e.g., Python, Java Spring Boot, .Net)
• Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
• Proficiency and experience in observability, including white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk
• Experience with continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform)
• Experience troubleshooting common networking technologies and issues
• Experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity
• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations

About The Team

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.