Senior Lead Software Engineer: AI-Driven, Secure & Scalable

Socket.dev

Chicago (IL)

On-site

USD 150,000 - 210,000

Full time

8 days ago

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Benefits offered by this job

Health insurance

Wellness centers

Retirement plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. in the United States by the Commercial & Investment Bank unit seeks a Senior Lead Software Engineer to drive secure, scalable technology delivery across multiple business functions.

You will contribute technically across design, development, testing, and operations while guiding AI-assisted engineering practices. You will lead code reviews, mentor teams, and collaborate with external vendors to ensure architectural integrity and robust performance in a fast-paced financial

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
Advanced in coding Java Spring Boot and Java Core Microservices Architecture.
Experienced in researching business requirements and developing a tool to solve the business' problems.
Advanced knowledge of SQL and noSQL Databases.
Advanced knowledge of Kafka or restAPI Messaging Services.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Proficient in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
In-depth knowledge of the financial services industry and their IT systems.
Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
Research business requirements and develop tools to solve the business' 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.
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
Adds to team culture of diversity, opportunity, inclusion, and respect.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/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.