Senior Lead Software Engineer - Container Platforms
About The Position
As a Senior Lead Software Engineer on JPMorganChase’s Container Platforms team, you will contribute to an agile team that builds, enhances, and delivers trusted technology products in a secure, stable, and scalable way. You will apply deep technical expertise and problem-solving skills across technologies and applications to drive business impact. The role provides technical guidance to teams, contractors, and vendors; develops and reviews production code; and helps shape product design, application functionality, and technical operations. You will also lead the adoption and governance of approved AI-assisted engineering practices, establish measurable standards for validating AI-generated work, and promote reusable patterns and automation across the software delivery toolchain. As a subject matter expert, you will contribute to the engineering community by advocating 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 experience delivering system design, application development, testing, and operational stability.
- Advanced proficiency in one or more programming languages.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools, including 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 resiliency and security expectations.
- Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
- Ability to independently address design and functionality problems with little to no oversight.
- Practical cloud-native experience.
Nice To Haves
- Experience in infrastructure architecture design, Kubernetes, CNI, CSI, CRI, and containers.
- Experience with AWS EKS or GCP GKE ecosystems.
- Knowledge of industry-wide technology trends and best practices.
- Knowledge of multiple cloud platforms.
- Proficiency with 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 validation standards for secure coding, peer review, and automated testing, and promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Use Software Development Life Cycle toolchain capabilities, including approved AI-assisted development and automation tools, to improve the value realized through automation at scale.
- Drive decisions influencing 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.
Benefits
- Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
