Lead Site Reliability Engineer - High Performance Compute

As a Lead Site Reliability Engineer at JPMorgan Chase within the Markets Engineering & Architecture team, you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.

Job responsibilities

• Guide and assist others in building appropriate level designs and gaining consensus from peers where appropriate.
• Collaborate with software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines.
• Design, develop, test, and implement availability, reliability, scalability, and solutions in applications in collaboration with other software engineers and teams.
• Implement infrastructure, configuration, and network as code for applications and platforms within your remit.
• Collaborate with technical experts, key stakeholders, and team members to resolve complex problems.
• Understand service level indicators and utilize service level objectives to proactively resolve issues before they impact customers.
• Support the adoption of site reliability engineering best practices within your team.
• Lead incident response efforts as a subject matter expert on the High Performance Computing platform, including restoration of service, root cause analysis, and engineering preventative measures.
• Contribute to client teams by providing resilient architecture implementations and running chaos simulations to validate platform resiliency.
• Build and maintain standard infrastructure as code modules for reuse by development teams and other business units.
• Participate in architecture resiliency reviews to provide guidance on cloud design decisions, standards, and operational practices, while developing skills to attain Subject Matter Expertise in at least one technical implementation within a technical domain.

Required qualifications, capabilities, and skills

• Formal training or certification in site reliability engineering concepts and 5 years of applied experience.
• Demonstrate applied experience in contributing to the reliability of production applications, with proficiency in site reliability culture and principles, and familiarity with implementing site reliability within applications or platforms.
• Possess 5 years of experience in at least one programming language such as Python, Java/Spring Boot, or Golang, along with proficient knowledge of software applications and technical processes within a given technical discipline, including supporting and delivering public cloud applications and monitoring technologies like Graphic Processing Units and IBM Symphony.
• Have 5 years of experience in observability practices, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
• Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, and Spinnaker, as well as hands-on experience with container and container orchestration technologies such as ECS, Kubernetes, and Docker, and troubleshooting common networking technologies and issues.
• Contribute to large and collaborative teams by presenting information logically and timely with compelling language and limited supervision, while proactively recognizing roadblocks and demonstrating an interest in learning technologies that facilitate innovation.
• Experience working with Arm-based servers, Terraform, Amazon Machine Images, and setting up and configuring OpenTelemetry agents and collectors, with proficiency in AWS and cloud automation tools and technologies like Lambda, CodePipeline, Ansible, and Terraform.

Preferred qualifications, capabilities, and skills

• Ability to contribute to large and collaborative teams by presenting information in a logical and timely manner with compelling language and limited supervision
• Ability to identify new technologies and relevant solutions to ensure design constraints are met by the software team.