Lead Site Reliability Engineer, Corporate KYC

What you'll do

• Lead resiliency design reviews and break down complex problems into manageable tasks for other engineers.
• Improve application reliability and stability using data-driven analytics to enhance service levels.
• Establish service level objectives and error budgets in collaboration with stakeholders.
• Integrate AI capabilities into incident triage, troubleshooting, and post-incident analysis while ensuring security compliance.
• Implement AI-assisted reliability workflows across the software development lifecycle and CI/CD pipelines.
• Act as the primary point of contact during major incidents to resolve issues quickly and prevent financial loss.
• Identify and resolve technical bottlenecks within specialized domains to improve system performance.
• Document and share technical knowledge through internal forums and communities of practice.

What we're looking for

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, and toil reduction.
• Fluency in at least one programming language such as Python, Java Spring Boot, or .Net.
• Experience using enterprise-authorized AI capabilities to improve SRE workflows while ensuring data sensitivity and security.
• Ability to evaluate AI-assisted operational recommendations for correctness and risk while defining appropriate guardrails.
• Proficiency in observability tools including Grafana, Dynatrace, Prometheus, Datadog, Splunk, or similar.
• Proficiency in CI/CD tools such as Jenkins, GitLab, and Terraform.
• Experience with containerization and orchestration technologies like ECS, Kubernetes, and Docker.