Site Reliability Engineer III (DSS)

JPMorganChase

IEonsitePosted Jul 21, 2026
Posting intelligenceActively listedReposted 23×, possible evergreen/ghost posting

Skills

kubernetesprometheussnowflaketerraformjenkinsgrafanadatadogspringdockeroraclegitlabpythonazurejavaawsecs

About the role

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 Infrastructure Data Platform 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.

Implements infrastructure, configuration, and network as code for the applications and platforms in your remit

Collaborates with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers

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.

Familiar with availability, reliability, scalability, and solutions in their applications and works with partners to improve these outcomes iteratively

Proactively recognizes road blocks and identifies improvements to solve business problems, including exploring new technologies where appropriate

Required qualifications, capabilities, and skills

Formal training or certification on site reliability engineering concepts and advanced 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, while ensuring compliance with risk controls and company-wide standards

Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI & etc.)

Hands-on experience supporting cloud and data platforms, including AWS (e.g., EC2, Athena) and Snowflake, with a reliability-first mindset

Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, AppDynamics, and others

Experience with continuous integration and continuous delivery tooling (e.g., Jenkins, GitLab, Terraform)

Familiarity with container and container orchestration and troubleshooting common networking technologies and issues (e.g., Docker, Kubernetes, ECS)

Preferred qualifications, capabilities, and skills

Strong understanding of release engineering practices, GitOps, branching strategies, and change management discipline

Experience with incident management, on-call operations, capacity planning, and reliability engineering practices

Experience authoring pipeline configuration (for example, YAML) and infrastructure templates (for example, Terraform or ARM)

Demonstrated ability to assess risk, remain calm under pressure, and drive clear

AWS and Azure experience preferred; Oracle Cloud Infrastructure (OCI) exposure is a plus

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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