Leads agile software engineering efforts within Corporate Technology, providing technical direction, designing and developing secure production systems, reviewing code, and improving SDLC automation. Drives responsible adoption of AI-assisted engineering practices, establishes validation standards, and serves as a subject matter expert. Requires advanced programming, cloud-native development, system design, testing, operational stability, and collaboration across technical teams, contractors, and vendors.
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 Corporate Technology, 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
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology, 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 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.
- 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
Required qualifications, capabilities, and skills
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Formal training or certification on software engineering concepts and advanced applied experience
- Advanced in one or more programming language(s)
- 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
- Practical cloud native experience
- Strong functional and object-oriented programming skills with expertise in languages such as Scala, Java, and Python; and open-source frameworks/libraries, such as Apache Spark.
- Familiar with software engineering and project management tools such as Git, Jira, and Agile.
- Excellent problem-solving, analytical, and debugging skills.
- Ability to work independently and collaboratively in a fast-paced and dynamic environment.
- Excellent communication and interpersonal skills.
Preferred qualifications, capabilities, and skills
- Experience in working with cloud platforms such as Databricks.
- Experience in working with data analysis and machine learning tools and frameworks.
- Experience in working with web development frameworks such as React, Angular, or Vue.
- Certifications in software engineering, project management, or related fields.
- Experience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint.
- Experience implementing security solutions for data storage and processing in the cloud.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
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