Drive incident response, root cause analysis, and post-incident reviews to identify systemic improvements and reduce mean time to recovery
Develop and maintain automation frameworks to eliminate toil, improve deployment pipelines, and accelerate delivery velocity
Collaborate cross-functionally with software engineering, architecture, and security teams to embed reliability and resiliency principles early in the design process
Champion observability practices by building and maintaining monitoring, alerting, and dashboarding solutions that provide actionable insights into system health
Mentor and guide junior engineers, fostering a culture of continuous learning, operational discipline, and engineering excellence
Evaluate and influence platform and tooling decisions to ensure alignment with reliability, scalability, and security requirements
Leverage enterprise-authorized AI-assisted engineering practices to improve operational outcomes, including incident triage support, test strategy acceleration, and delivery workflow optimization, while ensuring consistent validation and secure handling of inputs and outputs
Required qualifications, capabilities, and skills
Formal training or certification on site reliability engineering concepts and advanced applied experience
Hands-on experience designing and operating large-scale distributed systems with a strong focus on availability, fault tolerance, and performance
Proficiency in one or more programming or scripting languages (e.g., Python, Go, Java, Bash) for automation and tooling development
Experience defining and managing service level indicators, service level objectives, and error budgets in production environments
Strong background in observability tooling, including metrics, logging, and distributed tracing platforms
Demonstrated experience leading incident response processes, conducting blameless post-mortems, and driving systemic reliability improvements
Experience with container orchestration and infrastructure-as-code practices (e.g., Kubernetes, Terraform, or equivalent)
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
Preferred qualifications, capabilities, and skills
Experience operating in a regulated financial services or similarly complex enterprise environment
Familiarity with chaos engineering principles and tools used to proactively test system resilience
Exposure to cloud-native architectures and multi-cloud or hybrid infrastructure environments
Experience contributing to platform engineering or internal developer tooling initiatives
Background in capacity planning, performance engineering, or cost optimization at scale
