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Site Reliability Engineer III

JPMorgan Chase
Chicago, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 weeks ago
javapythonspring-boot

Full Job Posting

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 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.)

Preferred qualifications, capabilities, and skills

  • Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection
  • Experience with continuous integration and continuous delivery tooling
  • Familiarity with container and container orchestration and troubleshooting common networking technologies and issues

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