Overview
Join us to shape the future of AI/ML data platforms and make a real impact on how we deliver market‑leading solutions. You will collaborate with talented colleagues, solve complex challenges, and help drive strategic change across our organization. At JPMorgan Chase, you’ll find opportunities for growth, mentorship, and the chance to work with cutting‑edge technologies.
Role Summary
As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building and supporting scalable, resilient data solutions. Your work will include root cause analysis, production changes, and collaboration with cross‑functional teams to drive improvements. You will also mentor team members and partner with colleagues across our global network. Your efforts will directly impact the reliability and performance of our AI/ML platforms.
Responsibilities
- Develop and support AI/ML solutions for troubleshooting and incident resolution
- 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
- Apply expertise in application development and support using technologies such as Databricks, Snowflake, AWS, and Kubernetes
- Mentor and guide team members to drive strategic change
- Build tools to automate repeated tasks and reduce operational toil
- Ensure compliance with risk controls and company standards
- Contribute to system design, resiliency, testing, operational stability, and disaster recovery
- Foster a collaborative team environment to achieve common goals
Required Qualifications, Capabilities, and Skills
- Proficient in site reliability culture and principles, with experience implementing them within applications or platforms
- Skilled in running production incident calls and managing incident resolution
- Experience with observability, including monitoring, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk
- Strong understanding of SLI/SLO/SLA and error budgets
- Proficiency in Python or PySpark for AI/ML modeling
- Ability to automate tasks and reduce toil through tool development
- Hands‑on experience in system design, resiliency, testing, operational stability, and disaster recovery
- Awareness of risk controls and compliance with organizational standards
- Ability to work collaboratively and build meaningful relationships
Preferred Qualifications, Capabilities, and Skills
- Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies
- AWS and Databricks certifications
EEO Statement
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
#J-18808-Ljbffr…