Senior Lead Software Engineer- SRE

JPMorgan Chase & Co.•Jersey City, NJ

About The Position

As a Lead Site Reliability Engineer at JPMorgan Chase within Enterprise technology AI/ML Data Platforms team, you will be instrumental in building scalable, resilient and market-leading data solutions. You will engage in root cause analysis, production changes, budgetary considerations, and staffing challenges. Your experience will be vital in managing and mentoring team members to drive strategic change, both within your team and in partnership with colleagues across JPMorgan Chase & Co.'s global network of innovators.

Requirements

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.

Nice To Haves

10+ years in an SRE or production support role with AWS Cloud, Databricks, Snowflake or similar Technologies.
AWS, Snowflake or Databricks certifications.

Responsibilities

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.