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Site Reliability Engineer II - AI & Corporate Risk Tech

JPMorgan Chase
Glasgow, GBR
Full-time
Mid
Onsite
Discovered Today
PythonJavaSpring Boot.NETAIcontinuous integration
Free

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Job responsibilities

  • Guide and support team members in building appropriate-level designs, gaining peer consensus, and driving adoption of site reliability engineering best practices across the team
  • Collaborate with software engineers and cross-functional teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
  • Implement infrastructure, configuration, and network as code for the applications and platforms within your scope
  • Partner 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
  • Identify and address roadblocks, propose improvements to solve business problems, and explore new technologies where appropriate
  • Apply familiarity with availability, reliability, and scalability principles to iteratively improve outcomes in collaboration with partners
  • 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
  • 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 service level objective outcomes

Required qualifications, capabilities, and skills

  • Formal training or certification on site reliability engineering concepts and proficient applied experience
  • Proficiency in site reliability culture and principles, with the ability to implement site reliability practices within an application or platform
  • Proficiency in at least one programming language such as Python, Java/Spring Boot, or .NET
  • Experience in observability practices such as white and black box monitoring, service level objective alerting, and telemetry collection
  • Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., cloud, AI, mobile platforms)
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support site reliability engineering workflows, with strong validation habits and awareness of data sensitivity
  • Ability to review and validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following security and data handling requirements

Preferred qualifications, capabilities, and skills

  • Experience with continuous integration and continuous delivery tooling
  • Familiarity with container technologies and container orchestration platforms
  • Experience troubleshooting common networking technologies and issues
  • 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.

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