Software Engineer III, Site Reliability Engineering

Tokyo-To, Japan3+ years

There's nothing more exciting than being at the center of a rapidly growing field in technology and applying your engineering skills to drive innovation, stability, and resiliency across highly available platforms.

As a Software Engineer III – Site Reliability Engineering (SRE) at JPMorganChase within Asset and Wealth Management, you will combine strong backend engineering fundamentals with SRE practices to improve end-to-end service availability, scalability, and operational excellence. You will design and deliver production-grade software, build automation to reduce toil, and strengthen reliability through well-defined observability, incident response, and continuous delivery practices.
As a seasoned member of an agile team, you will decompose ambiguous reliability challenges into clear, iterative improvements—delivered through code and infrastructure-as-code.

Job Responsibilities

Build and evolve backend services and reliability tooling with a focus on operational stability, resiliency, and maintainability.
Design, implement, and improve reliability practices using automated continuous integration and continuous delivery (CI/CD) pipelines.
Implement infrastructure, configuration, and network as code for the applications and platforms in your remit.
Establish and operationalize observability—white-box/black-box monitoring, telemetry, SLI/SLO definition, alerting strategies, and error budgets—and use these signals to prioritize reliability work.
Collaborate with software engineers, stakeholders, and production support partners to resolve complex problems and proactively address issues before they impact customers.
Participate in Major Incident Management (MIM): lead or support triage and stakeholder communications, coordinate cross-team resolution, and drive post-incident reviews that deliver measurable resiliency improvements.
Use enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis—validating outputs and handling operational data per sensitivity and security requirements.
Identify recurring toil and reliability risks, prioritize reusable solutions over one-off fixes, and track outcomes tied to SLOs and stability KPIs.

Required Qualifications, Capabilities, and Skills

Formal training or certification in software engineering/SRE concepts and 3+ years of applied experience.
SRE mindset and working knowledge of reliability principles, including availability, scalability, incident management, and iterative improvement.
Strong backend engineering experience and the ability to deliver secure, high-quality production code.
Proficiency in Python or Go (preferred), or another modern language with willingness to ramp quickly.
Hands-on experience with system design, application development, testing, and operational stability in a large-scale distributed environment.
Observability experience, including telemetry collection, monitoring, and SLO-based alerting.
Strong communication skills in English, with the ability to collaborate across teams and clearly document operational and technical decisions.
Demonstrated ability to work effectively with enterprise-authorized AI-assisted engineering tools within the work environment as a core part of modern software and reliability engineering, including the ability to validate outputs for correctness, performance, and security, and to handle inputs/outputs in accordance with data sensitivity requirements.

Preferred (Desirable) Qualifications, Capabilities, and Skills

Production support / on-call experience, including incident triage, mitigation, root cause analysis, and driving post-incident improvements.
Experience in a financial institution, preferably supporting Front Office platforms and time-sensitive, high-availability workloads.
Exposure to cloud technologies and modern platform engineering practices.
Familiarity with modern front-end technologies (not required, but beneficial depending on platform needs).

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