JPMorgan Site Reliability Engineer AI/ML Platform 

United Kingdom, Scotland 

14686252

Job responsibilities

• Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
• Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers
• Design and implement solutions to enhance the reliability and scalability of AI/ML
  
• Partner with product engineering teams to ensure the AI/ML systems are reliable and
  high performing.
• Develop observability, security, automation and fin-ops tools and orchestration.
• Build strong cross-functional relationships that foster engagements across the
  organization and deliver solutions to user problems.
• Debug and solve issues in a production environment, identify root cause and
  remediate.
• Participates in on-call rotations, incident management and escalation workflows.
• Take full ownership of problems, develop solutions, and acquire new knowledge to
  complete the task.
• Mentor and guide junior engineers.

Required qualifications, capabilities, and skills

• Formal training or certification on Site Reliability Engineering concepts and applied experience
• Expertise in SRE principles, reliability, scalability and performance of application and
  infrastructure.
• Expertise in programming with Python and Infrastructure as Code, tools such as
  Terraform.
• Experience working with distributed systems and cloud-native architecture in AWS.
• Systematic problem-solving and troubleshooting skills in a complex system.
• Excellent communication skills and ability to represent and present business and
  technical concepts to stakeholders.
• Self-managed, self-motivated with strong sense of ownership, urgency, and drive

• Prior experience working in AI, ML, or Data engineering.
• Expertise in container orchestration/Kubernetes.
• Prior experience developing Automation frameworks/AI Ops.
• Prior experience building observability and telemetry tools.