Senior Lead Software Engineer

JPMorgan Chase & Co.; Seattle (WA); On-site; USD 130,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is looking for a Senior Lead Software Engineer to join their CDAO's AI/ML Data Platform team. You will enhance, build, and deliver market-leading technology products while driving significant business impact.

This role requires 5+ years of software engineering experience, expertise in coding, and hands-on experience with AI-assisted development tools. You will play a critical role in driving the adoption of best practices and enhancing software quality.

Qualifications

• 5+ years of applied experience in software engineering.
• Proficiency in one or more programming languages like Rust, Java, Go, or C++.
• Experience delivering system design and operational stability.

Responsibilities

• Provide technical guidance to support teams and contractors.
• Develop secure and high-quality production code.
• Drive product design and application functionality decisions.
• Contribute to the engineering community and promote best practices.

Skills

Software engineering concepts

Hands-on coding and system design

Rust

Java

Go

C++

AI-assisted software development tools

Education

Formal training or certification in software engineering

Tools

Apache DataFusion

DuckDB

Apache Arrow Flight SQL

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the CDAO's AI/ML Data Platform's team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect
• Build and operate 24x7, tier‑1 online services
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong core engineering skills: hands‑on coding and system design for modern enterprise systems.
• Proficiency in one or more of the following languages: Rust, Java, Go, C++
• Proven track record building and operating 24x7, tier‑1 online services.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) 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; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight

Preferred qualifications, capabilities, and skills

• Familiarity with open‑source projects in the OLAP/data stack: Apache DataFusion, DuckDB, Apache Arrow Flight SQL.