Site Reliability Engineer II

JPMorgan Chase & Co.

Chicago (IL)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Chicago is seeking a Site Reliability Engineer II to help ensure system reliability across Commercial & Investment Banking and Payment Technology.

You will apply software engineering best practices and work on small to medium projects, with opportunities to collaborate across teams. You will write high quality code, monitor observability, and help reduce toil while leveraging enterprise AI capabilities to improve incident triage and post-incident analysis in a secure

Qualifications

  • Formal training or certification on software engineering concepts.
  • Ability to code in at least one programming language.
  • Working knowledge of enterprise-authorized AI capabilities to support SRE workflows with validation and data sensitivity awareness.
  • Ability to assess AI-assisted operational recommendations for correctness and risk, and apply controls to maintain resiliency and security.
  • Experience maintaining a cloud-based infrastructure.
  • Familiar with site reliability concepts, principles, and practices.
  • Familiar with observability, SLOs, and telemetry collection.

Responsibilities

  • Executes small to medium projects independently with initial direction and graduates to designing and delivering projects independently.
  • Writes high quality, maintainable, and robust code following software engineering best practices.
  • Uses enterprise-authorized AI capabilities to speed up incident triage, troubleshooting, and post-incident analysis, with proper validation and data sensitivity handling.
  • Participates in triaging, examining, diagnosing, and resolving incidents, working with others to address root causes.
  • Recognizes toil and works to eliminate it through systems engineering or code improvements.
  • Understands observability patterns and works to implement and improve SLOs, monitoring, and alerting for transparency and analysis.
  • Applies enterprise-authorized AI capabilities to identify recurring toil and reliability risks from operational signals, prioritizing reusable improvements and measurable SLO outcomes.

Skills

Programming
AI in operations
Observability
Containers
Linux/Windows
CI/CD
Cloud infrastructure

Education

Software engineering training or certification

Job description

Play a key role in ensuring system reliability at one of the world’s most iconic and largest financial institutions.

As a Site Reliability Engineer II at JPMorgan Chase within the Commercial and Investment Banking and Payment Technology Team, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you’ll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase’s business and relevant technologies.

Job Responsibilities
  • Executes small to medium projects independently with initial direction and graduates to designing and delivering projects independently
  • Leverages technology to solve business problems by writing high quality, maintainable, and robust code following best practices in software engineering
  • Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
  • Participates in triaging, examining, diagnosing, and resolving incidents and works with others to solve problems at their root
  • Recognizes toil within the role and proactively works towards eliminating it through systems engineering or updating application code
  • Understands observability patterns and strives to implement and improve service level indicators, objectives monitoring, and alerting solutions for optimal transparency and analysis
  • Applies enterprise-authorized AI capabilities within the work environment to identify recurring toil and reliability risks from operational signals, prioritizing reuse-first improvements and measurable SLO outcomes.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Ability to code in at least one programming language
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows (e.g., troubleshooting support and runbook drafting) with strong validation habits and awareness of data sensitivity.
  • Ability to assess AI-assisted operational recommendations for correctness and risk, and apply appropriate controls to maintain resiliency, security, and auditability.
  • Experience maintaining a cloud-based infrastructure
  • Familiar with site reliability concepts, principles, and practices
  • Familiar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection
  • Familiarity with containers or a common server OS such as Linux and Windows
  • Emerging knowledge of continuous integration and continuous delivery practices and related tooling
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