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 within the Enterprise technology, Market risk 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

Write high-quality, maintainable, and well-tested software to develop reliable and repeatable solutions to complex problems. Collaborate with product development teams to design, implement and manage CI/CD pipelines to support reliable, scalable, and efficient software delivery. Partner with product development teams to capture and define meaningful service level indicators (SLIs) and service level objectives (SLOs). Develop and maintain monitoring, alerting, and tracing systems that provide comprehensive visibility into system health and performance. Contribute to design reviews to evaluate and strengthen architectural resilience, fault tolerance and scalability. Uphold incident response management best practices, champion blameless postmortems and continuous improvements. Debug, track, and resolve complex technical issues to maintain system integrity and performance. Champion and drive the adoption of reliability and resiliency best practices.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform Experience analyzing, troubleshooting and supporting large-scale systems. Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, etc.) Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform Familiarity with container and container orchestration such as ECS, Kubernetes, and Docker Practical experience building production-grade software in at least one programming language such as Java, Python, or Go. Solid understanding of the fundamentals of distributed systems, and reliability patterns for achieving redundancy, fault tolerance, and graceful degradation. Solid understanding of networking concepts, including TCP/IP, routing, firewalls, and DNS. In-depth knowledge of Unix/Linux, including performance tuning, process and memory management, and file system operations. Preferred qualifications, capabilities, and skills Ability to identify new technologies and relevant solutions to ensure design constraints are met by the software team Ability to initiate and implement ideas to solve business problems Practical experience of one or more of the following: building, supporting and troubleshooting JVM based applications, including experience with tools such as JConsole, or VisualVM. use and support of SQL and in-memory database technologies. building and maintaining CI/CD pipelines using modern tools such as Github Actions, or Gitlab CI/CD. observability and monitoring tools such as Prometheus, Grafana, or OpenTelemetry. containers and orchestration platforms such as Docker, Kubernetes, or Amazon ECS, cloud technologies such as AWS or GCP, including deployment, management, and optimization of cloud-based applications. performance and chaos testing tools such as Gremlin, Chaos Mesh, and LitmusChaos. Experience working in the financial/fintech industry.