Senior Lead Software Engineer - Container Platforms
About The Position
As a Senior Lead Software Engineer on JPMorganChase’s Container Platforms team, you will work as an integral member of an agile team building, enhancing, and delivering secure, stable, scalable technology products. You will use deep technical expertise and problem-solving skills to address challenges across multiple technologies and applications, and drive significant business impact through your work. The role provides technical guidance to business and technology teams, contractors, and vendors; develops and reviews production code; and influences product design, application functionality, and technical operations. You will also drive effective and responsible adoption of approved AI-assisted engineering tools and practices, establish standards for validating AI-generated outputs, and promote proven patterns and automation within the software development toolchain. As a subject matter expert, you will contribute to the engineering community and advocate for firmwide frameworks, tools, and practices.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced skills in one or more programming languages.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools in the work environment, such as for coding, code review, test acceleration, or troubleshooting.
- 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
- Ability to tackle design and functionality problems independently with little to no oversight.
- Practical cloud-native experience.
Nice To Haves
- Experience in infrastructure architecture design, Kubernetes, CNI, CSI, CRI, and containers.
- Experience in AWS EKS or GCP GKE ecosystems.
- Knowledge of industry-wide technology trends and best practices.
- Knowledge of multiple cloud platforms.
- Proficiency in database technologies such as Oracle, MS SQL, or Cockroach.
Responsibilities
- Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
- Develop secure, high-quality production code, and review and debug code written by others.
- Drive adoption and governance of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
- Establish measurable standards for validating AI-assisted work, including secure coding, peer review, and automated testing.
- Promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Apply knowledge of the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value of automation at scale.
- Drive decisions that influence product design, application functionality, and technical operations and processes.
- Serve as a function-wide subject matter expert in one or more areas of focus.
- Contribute to the engineering community by advocating firmwide frameworks, tools, and Software Development Life Cycle practices.
- Set team expectations for validating AI outputs for correctness, performance, and security.
- Coach senior engineers and leads on compliant AI usage patterns and controls.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
