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.
As a Site Reliability Engineer III at JPMorgan Chase within the Commercial & Investment Bank, 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
Required qualifications, capabilities, and skills
- Formal training or certification on site reliability engineering concepts and 3+ years applied experience
- Experience in troubleshooting, resolving, and maintaining information technology services.
- Knowledge of applications or infrastructure in a large-scale technology environment, on premises or in public cloud.
- Strong problem-solving skills and the ability to troubleshoot issues within the Athena platform.
- Ability to code in at least one programming language such as Shell or Python.
- Demonstrated knowledge of maintaining a cloud-based infrastructure and observability and monitoring tools and techniques.
- Experience with processes in scope of the Information Technology Infrastructure Library (ITIL) framework and experience with Linux as an operating system and application support.
- Demonstrated knowledge of site reliability concepts, principles, practices and knowledge of observability, such as white-box and black-box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
- Experience with common networking technologies and continuous integration/continuous delivery tools like Jenkins, GitLab, or Terraform.
- 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