Job Description

JOB DESCRIPTION

Play a key role in ensuring system reliability at one of the world's most iconic and largest financial institutions.


As a Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank's Global Banking technology team, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you'll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase's business and relevant technologies.

Job responsibilities

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 Executes small to medium projects independently with initial direction and eventually graduates to designing and delivering projects by yourself Leverages technology to solve business problems by writing high quality, maintainable, and robust code following best practices in software engineering Participates in triaging, examining, diagnosing, and resolving incidents and work with others to solve problems at their root Recognizes the toil within your role and proactively works towards eliminating it through either systems engineering or updating application code Understands observability patterns and strives to implement and improve service level indicators, objectives monitoring, and alerting solutions for optimal transparency and analysis

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Minimum 10+ years of SRE Engineering and Cloud experience Experience with coding, primarily in Python and Java programming languages Experience maintaining a Cloud-base infrastructure viz. AWS. Experience with Terraform is mandatory. Experience with site reliability concepts, principles, and practices Experience with 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 containers or a common Server OS such as Linux and Windows Knowledge of emerging software, applications and technical processes within Cloud based and AI/ML based projects Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, etc. Eagerness to participate in learning opportunities to enhance one's effectiveness in executing day-to-day project activities Ability to demonstrate and apply existing and new system processes, methodologies, and skills to contribute to the development of systems

Preferred qualifications, capabilities, and skills

General knowledge of financial services industry Familiarity with SRE activities in AI/ML based projects Ability to work in a large, collaborative team and demonstrates the willingness to vocalize ideas with peers and managers Understanding of how to prioritize and adjust work plans to adapt to changes in assigned responsibilities and projects

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