Lead SRE at JPMorgan Chase focusing on site reliability, defining requirements, managing incidents, mentoring, and developing AI/ML solutions.
Job Description
Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability.
As a Principal Site Reliability Engineer at JPMorgan Chase within the AI/ML & Data platform team, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your application and product lines. You will ensure those NFRs are accounted for in your products' design and test phases, that your service level indicators are effectively measuring customer experience, and that service level objectives are defined with stakeholders and implemented in production.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability.
As a Principal Site Reliability Engineer at JPMorgan Chase within the AI/ML & Data platform team, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your application and product lines. You will ensure those NFRs are accounted for in your products' design and test phases, that your service level indicators are effectively measuring customer experience, and that service level objectives are defined with stakeholders and implemented in production.
Job responsibilities
- Demonstrate expertise in application development and support with multiple technologies such as Databricks, Snowflake, AWS, Kubernetes, etc.
- Coordinate incident management coverage to ensure effective resolution of application issues.
- Collaborate with cross-functional teams to perform root cause analysis and implement production changes.
- Mentor and guide team members to foster innovation and strategic change.
- Develop and support AI/ML solutions for troubleshooting and incident resolution.
Required qualifications, capabilities, and skills
- Formal training or certification on SRE concepts and 5+ years applied experience
- Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
- Proficiency in running production incident calls and managing incident resolution.
- Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
- Strong understanding of SLI/SLO/SLA and Error Budgets
- Proficiency in Python or PySpark for AI/ML modeling.
- Must be able to reduce toil by building new tools to automate repeated tasks.
- Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
- Understanding of network topologies, load balancing, and content delivery networks.
- Awareness of risk controls and compliance with departmental and company-wide standards.
- Ability to work collaboratively in teams and build meaningful relationships to achieve common goals.
Preferred qualifications, capabilities, and skills
- SRE or production support role with AWS Cloud, Databricks, Snowflake or similar Technologies.
- AWS and Databricks certifications.
Top Skills
AWS
Databricks
Datadog
Dynatrace
Grafana
Kubernetes
Prometheus
Pyspark
Python
Snowflake
Splunk
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