JPMorgan Chase
Site Reliability Engineer III
$138K–$185K
Jersey City, NJ +1 · Full-time · Posted Jun 27, 2026
- Location
- Jersey City, NJ
Palo Alto, CA - Experience
- 3+ years of applied SRE experience; preferred: 4+ years in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies.
- Education
- Formal training or certification on site reliability engineering concepts.
About the job
Maintains and improves the reliability, availability, and scalability of applications and platforms in JPMorgan Chase’s CDAO AI/ML & Data Platforms team through code, cloud infrastructure, and SRE practices.
What you'll do
- Builds and supports deployment and reliability approaches, CI/CD pipelines, and infrastructure, configuration, and network as code.
- Coordinates incident management, root cause analysis, and SLI/SLO-based improvements to production reliability.
- Uses authorized AI capabilities and supports AI/ML solutions for incident triage, troubleshooting, reliability-risk detection, and toil reduction.
What they ask for
- Formal training or certification in SRE concepts and 3+ years of applied experience.
- Strong understanding of SLI/SLO/SLA, error budgets, and SRE principles.
- Proficiency in at least one programming language, such as Python, Java/Spring Boot, or .Net; Python or PySpark for AI/ML modeling and automation.
- Experience with system design, resiliency, testing, operational stability, disaster recovery, observability, CI/CD, production incidents, containers, and networking.
Nice to have
- 4+ years in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies.
- AWS and Databricks certifications.
Pay
USD 137,750.00-$185,000.00 base salary (Jersey City, NJ); USD 137,750.00-$185,000.00 base salary (Palo Alto, CA)
Tools
Databricks, Snowflake, AWS, Kubernetes, Python, PySpark, Java/Spring Boot, .Net
AI focus
Uses enterprise-authorized AI for incident triage, troubleshooting, post-incident analysis, operational-signal pattern detection, and intelligent automation; develops and supports AI/ML solutions for incident resolution and toil reduction, validating outputs and following data-sensitivity and security requirements.
Model-written summary · the original posting is authoritative