Site Reliability Engineer III- Production Management

J.P. Morgan; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an experienced Site Reliability Engineer III to help manage and modernize mission‑critical systems.

You will configure, monitor, and optimize applications and infrastructure, decomposing problems and improving solutions with code and cloud infrastructure. You will own production support, drive automated CI/CD, and collaborate across teams to ensure reliability, observability, and scalable operations.

Qualifications

• Formal training or certification in site reliability engineering concepts.
• 3+ years of applied SRE experience.
• Proficient in Python/Java/.NET and AWS cloud.

Responsibilities

• Guide and implement SRE best practices within the team.
• Collaborate to design, test, and implement deployment and reliability approaches.
• Utilize AI capabilities to accelerate incident triage and analysis with proper data handling.
• Monitor operational signals and drive rapid engagement during issues.
• Improve instrumentation, dashboards, and alert quality to reduce MTTR.
• Maintain runbooks, handoffs, escalation paths, and post-incident follow-through.
• Coordinate with engineers to drive root-cause fixes and safe change management.
• Lead L1/L2 production support using SRE practices and provide stakeholder updates.

Skills

Site reliability principles

Python

Java/Spring Boot

.NET

AWS

AI capabilities in SRE

Incident management

Automation

Observability

Distributed tracing

Education

Site Reliability Certification

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 in AWS supporting 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, especially pricing / risk / market data support (Fixed Income a plus)
• Experience with Datadog (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

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Equal Employment Opportunity

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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. Visit FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans