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JPMorgan Lead Site Reliability Engineer - AWS 
United States, Delaware, Wilmington 
548016812

26.06.2024

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

Job responsibilities

  • Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
  • Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels
  • Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
  • Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
  • Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
  • Documents and shares knowledge within your organization via internal forums and communities of practice

Required qualifications, capabilities, and skills

  • Formal training or certification on Site Reliability Engineering concepts and 5+ years of applied experience
  • Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform
  • Fluency in at least one programming language such as (e.g., Python, Java Spring Boot, .Net, etc.)
  • Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
  • Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
  • Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)
  • Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
  • Experience with troubleshooting common networking technologies and issues
  • Ability to identify and solve problems related to complex data structures and algorithms
Preferred qualifications, capabilities, and skills
  • Experience in designing or maintaining resilient, scalable, and high performing real-time and batch services.
  • Experience of working with external vendors.
  • Drive to self-educate and evaluate new technology