We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Consistently models and champions site reliability culture and practices and exerts technical influence throughout your team Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels Drives collaboration with your team to identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers Offers a high level of technical expertise within one or more technical domains and proactively identifies and solves for technology-related bottlenecks in your areas of expertise Serves as the main point of contact during major incidents for your application and have the skills to identify and solve the issue quickly to avoid financial loss to the business Documents and shares knowledge within your organization via internal forums and communities of practice

 

Qualifications

Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices Fluent in at least one programming language such as: Python, Java/Spring Boot, .Net Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines 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 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 Experience identifying and solving complex data structures and algorithms-related problems Actively self-educates, evaluate new technology, and recommend suitable ones