JPMorgan Chase
Site Reliability Engineer III - Machine Learning
Wilmington, DE · Full-time · Posted Aug 16, 2026
- Experience
- 3+ years of applied experience in addition to formal training or certification on site reliability engineering concepts.
About the job
Designs, operates, and improves reliable, scalable applications and platforms for JPMorgan Chase’s risk team, using automation and AI-assisted SRE workflows.
What you'll do
- Designs and implements deployment and reliability approaches, infrastructure as code, and CI/CD pipelines.
- Monitors reliability using service level indicators and objectives, resolves complex operational issues, and improves availability and scalability.
- Uses enterprise-authorized AI to assist incident analysis and identify reliability risks or recurring toil, validating outputs and protecting sensitive data.
What they ask for
- Formal training or certification in site reliability engineering concepts.
- Proficiency in at least one programming language, such as Python, Java/Spring Boot, or .Net.
- Experience with observability, including monitoring, SLO alerting, and telemetry collection, and with CI/CD tooling.
- Familiarity with containers, orchestration, and troubleshooting common networking issues; able to validate AI-assisted recommendations and follow data sensitivity requirements.
Nice to have
- Experience with Airflow or AWS Step Functions, Databricks, infrastructure as code, GitOps, configuration management, or OpenTelemetry.
- AWS certification.
Tools
Python, Java/Spring Boot, .Net, Airflow, AWS Step Functions, Databricks, Terraform Enterprise, OpenTelemetry
AI focus
Uses enterprise-authorized AI for incident triage, troubleshooting, post-incident analysis, and detecting reliability risks or recurring toil; validates outputs and follows data sensitivity requirements.
Model-written summary · the original posting is authoritative