Senior Lead Software Engineer role at JPMorganChase in Plano, TX (onsite) within the AI/ML Data Platform.

Provide ongoing technical guidance to the business, engineering teams, contractors, and vendors.
Write secure, high-quality production code and review or debug code written by others.
Lead the adoption and governance of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes; establish measurable standards for secure coding, peer reviews, and automated testing, while promoting reusable patterns and automation within the SDLC/TLM toolchain.
Leverage the Software Development Life Cycle toolchain and approved AI-assisted development capabilities to maximize automation value at scale.
Define and streamline the release process for new Snowflake features to eliminate bottlenecks.
Influence product design, application functionality, and technical operations through strategic decisions.
Act as a function-wide subject matter expert in one or more focus areas.
Contribute to the engineering community as an advocate for firmwide SDLC frameworks, tools, and practices.
Deliver creative software solutions, engineer robust designs, and troubleshoot complex problems beyond routine approaches.
Identify opportunities to automate recurring remediation to improve overall operational stability of software applications and systems.

Formal training or certification in software engineering concepts plus 5+ years of applied experience.
Hands-on experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages, with strong emphasis on Python.
Deep understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, resiliency, and security expectations; experience coaching senior engineers on compliant usage patterns.
Proven experience leading the effective use of enterprise authorized AI-assisted development tools (coding, code review, test acceleration, troubleshooting) and setting team expectations for validating AI outputs for correctness, performance, and security.
Ability to tackle design and functionality problems independently with minimal oversight.
Practical cloud native experience on AWS.
Proficiency in automation and continuous delivery methods.
Comprehensive understanding of all aspects of the Software Development Life Cycle.
Advanced knowledge of agile methodologies such as CI/CD, application resiliency, and security.
In-depth knowledge of the financial services industry and their IT systems.

Competitive base salary
Commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity)
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tution reimbursement
Mental health support
Financial coaching

Senior Lead Software Engineer, Snowflake

Job Description