Push the limits of what’s possible while building technology that teams rely on every day. In this role, you’ll tackle complex engineering problems across multiple technical areas and see your work drive real business outcomes. You’ll collaborate with talented peers in an agile environment, with opportunities to grow your impact and expand your skills. If you enjoy building secure, resilient systems and improving how teams deliver software, you’ll feel at home here.
As a Lead Software Engineer at JPMorgan Chase within Corporate Technology, you will be an integral part of an agile team that enhances, builds, and delivers trusted, market-leading technology products in a secure, stable, and scalable way. You will conduct critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will contribute hands-on engineering expertise while helping the team raise standards for quality, automation, and operational excellence.
Job Responsibilities
- Execute creative software solutions, including Infrastructure as Code (IaC), spanning design, development, and technical troubleshooting.
- Develop secure, high-quality infrastructure patterns, primarily in Red Hat Linux environments.
- Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
- Apply Software Development Life Cycle (SDLC) tooling, including approved AI-assisted development and automation capabilities, to increase the value realized from automation.
- Identify opportunities to eliminate recurring issues or automate remediation to improve operational stability across applications and systems.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within existing systems and information architecture.
Required Qualifications, Capabilities, and Skills
- Hands-on experience delivering infrastructure and system design, application development, testing, and operational stability.
- Advanced proficiency in one or more programming languages.
- Demonstrated ability to lead effective use of approved AI-assisted software development tools, including setting expectations to validate outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
- Proficiency across all aspects of the Software Development Life Cycle.
- Advanced understanding of agile engineering practices, including CI/CD, application resiliency, Infrastructure as Code, and security.
- Strong practical experience implementing and supporting Red Hat Linux environments.
Preferred Qualifications, Capabilities, and Skills
- Knowledge of financial services technology landscapes and operating environments.
- Practical cloud-native experience.