Site Reliability Engineer III- Production Management

JPMorgan Chase & Co.; City of Rochester (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Site Reliability Engineer III to join the Commercial & Investment Bank Production management team in the US. You will enhance availability, reliability, and scalability through code and cloud infrastructure, while guiding SRE best practices across teams.

You will own incident triage, implement automated CI/CD pipelines, and develop observability to reduce toil and MTTR, contributing to mission-critical financial systems.

Qualifications

• Formal training or certification on site reliability engineering concepts and 3+ years applied experience.
• Proficient in SRE culture and implementing SRE within an application or platform.
• Proficient in Python, Java/Spring Boot, and .Net.
• Experience with AI-assisted tooling to improve reliability and reduce toil.
• Ability to validate AI-assisted recommendations before applying changes.

Responsibilities

• Guide peers in SRE best practices and consensus-building.
• Design, develop, test, and implement deployment/reliability approaches with CI/CD.
• Use enterprise AI capabilities to accelerate triage, troubleshooting and post-incident analysis.
• Monitor alerts, dashboards, and service health, driving rapid engagement when issues arise.
• Improve instrumentation, dashboards and alert quality; reduce MTTR and incidents.
• Maintain runbooks, handoffs, escalation paths, and post-incident follow-through.
• Collaborate with engineers to drive root-cause fixes and automation.
• Lead L1/L2 production support with fast triage and stakeholder updates.
• Identify reliability risks via AI patterns and tie improvements to SLOs.

Skills

SRE principles

Python/Java/.NET

Incident management

Cloud experience (AWS)

Automate with code

Observability & monitoring

Stakeholder communication

Time-sensitive operations

Education

Site Reliability Engineering certification or formal training

Tools

Datadog

Kafka/MQ

Job description

There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.

As a Site Reliability Engineer III at JPMorgan Chase within the Commercial & Investment Bank, Production management team, you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.

Job Responsibilities

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team
• Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
• Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Continuously monitor operational signals (alerts, dashboards, service health indicators, and desk/user feedback) and drive rapid engagement, ownership, and coordination when issues emerge.
• Enhance production observability and reliability by improving instrumentation, dashboards, and alert quality; use trend and incident data to reduce noise, prevent recurrence, and measurably lower MTTR and incident frequency.
• Own and improve the support operating model: maintain/run runbooks, ensure clean handoffs and escalation paths, manage shift coverage, and drive disciplined post-incident follow-through (actions, owners, due dates).
• Partner with engineering and adjacent service owners to drive root-cause fixes and stronger change/release standards, identify cross-service dependencies early, and build lightweight automation/self-service tooling to reduce manual steps and speed repeatable triage.
• Lead L1/L2 production support using SRE practices: quickly triage incidents, investigate likely causes, apply safe mitigations/workarounds, and provide timely, clear stakeholder updates through to resolution.
• Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes.

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 3+ years applied experience
• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
• Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
• Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements
• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.)
• Practical cloud experience inAWSsupporting production services (visibility/troubleshooting, deployments, and operational hygiene)
• Ability to write code to automate support work (e.g.,Python, Java, or similar) and reduce operational toil
• Experience operating in time-sensitive environments (market hours or similar), with strong incident discipline and stakeholder communication
• Strong debugging fundamentals across distributed systems (logs/metrics, latency analysis, dependency failures, data issues)

Preferred qualifications, capabilities, and skills

• Prior Markets experience, especiallypricing / risk / market datasupport (Fixed Income a plus)
• Experience withDatadog(metrics/logs/traces), alert tuning, dashboards, and basic SLO concepts
• Familiarity with messaging/streaming patterns (Kafka/MQ) and data quality checks in execution and pricing pipelines
• Experience applying AI-assisted tooling to reduce support toil