Lead Software Engineer

JPMorgan Chase & Co.; Palo Alto (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

A global financial services firm is seeking a Lead Software Engineer to join their agile team in Palo Alto, California. In this role, you will enhance and deliver trusted technology products while leading efforts to improve application reliability and stability. Your expertise in programming languages such as Python or Java, along with a strong understanding of site reliability best practices, will be crucial. You'll also oversee major incidents and drive collaboration across teams to meet service level objectives.

Qualifications

• Demonstrated proficiency in reliability, scalability, performance, and security.
• Fluent in at least one programming language.
• Advanced knowledge of software applications and technical processes.

Responsibilities

• Model and champion site reliability culture and practices.
• Lead initiatives to improve reliability and stability of applications.
• Drive collaboration to identify service level objectives with stakeholders.

Skills

Reliability best practices

Proficiency in Python

Proficiency in Java/Spring Boot

Proficient with Grafana

Proficient with Docker

Tools

Jenkins

Terraform

Dynatrace

Splunk

Job description

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 , youare 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