
Lead Site Reliability Engineer
4 days ago
Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.
As a Lead Site Reliability Engineer at JPMorgan Chase within the Consumer & Community Banking Team, you will take the lead in conducting resiliency design reviews, break down complex problems into manageable tasks for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to your fellow engineers.
Job responsibilities- Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
- Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels
- Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
- Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
- Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
- Documents and shares knowledge within your organization via internal forums and communities of practice
- Formal training or certification on site reliability engineering concepts and 5+ years applied experience
- Expertise in application development and support with multiple technologies and design techniques.
- Experience in developing AI/ML solutions using public cloud architecture, specifically Azure and AWS and experience in Python for AI/ML modeling.
- Experience in automation and continuous delivery methods.
- Familiarity with agile methodologies, including CI/CD, application resiliency, and security.
- Experience in implementing GenAI services using Azure OpenAI models and AWS Bedrock service.
- Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform
- Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
- Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)
- Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
- Experience with troubleshooting common networking technologies and issues
- Ability to identify and solve problems related to complex data structures and algorithms
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