Lead Software Engineer

As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms, 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.

J ob responsibilities

- Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure, high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident and root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise authorized AI-assisted development and automation capabilities, to improve the value realized by automation .
- Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

- Formal training or certification on software engineering concepts and advanced applied experience
- Advanced proficiency in one or more programming language(s) and framework(s) (e.g., Python, Django, Java, etc.)
- Proficiency in automation and continuous delivery methods, and hands-on practical experience delivering system design, application development, testing, and operational stability
- Proficient in all aspects of the Software Development Life Cycle, with an advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Working knowledge of SDLC toolchains and proven experience applying enterprise-authorized AI-assisted development and automation capabilities to increase the value realized from automation (e.g., improved efficiency, reliability, maintainability, and measurable throughput/quality outcomes).
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Demonstrated ability to drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident and root-cause analysis support), while establishing and enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Proven expertise in designing, deploying, and managing containerized distributed applications, with a strong understanding of orchestration and scaling strategies Hands-on experience with AWS Infrastructure as a Service (IaaS), including provisioning and operating core compute, storage, and networking services (e.g., EC2, EBS, S3, VPC)
- Demonstrated ability to architect and manage infrastructure on AWS Cloud, utilizing Infrastructure as Code (IaC) tools like Terraform to automate and optimize deployment processes
- Proven experience in designing and implementing control plane architectures for large-scale applications, focusing on efficient resource management, orchestration, and system reliability to support complex, distributed systems In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

- Hands-on experience with relational databases, particularly CockroachDB or similar distributed databases, ensuring data consistency, reliability, and performance in distributed environments
- Practical cloud native experience