As a Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Banking, 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:

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate.
• Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines.
• 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.
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems.
• Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers.
• Supports the adoption of site reliability engineering best practices within your team.

Required Skills:

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices.
• Proficient in at least one programming language such as Python, Java/Spring Boot.
• Proficient knowledge and 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.
• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, etc.).
• Proficient with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform.
• Proficient with container and container orchestration: ECS, Kubernetes, Docker.
• Experience with troubleshooting common networking technologies and issues.
• Have proven experience implementing and maintaining SLO/SLA frameworks for business-critical services, chaos engineering (Gremlin, Chaos Monkey).
• Is comfortable working with both traditional metrics (latency, availability).

Preferred Qualifications, Capabilities, and Skills:

• Working knowledge of infrastructure components (e.g., routers, load balancers, cloud products, container systems, compute, storage, and networks).
• Knowledge and hands-on experience with tools like Jira, Confluence, ServiceNow, Netcool.
• Ability to identify new technologies and relevant solutions to ensure design constraints are met by the software team.
• Monitoring tools and log analysis tools to manage operations.