Description

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

As Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology, we look first and foremost for people who are passionate around solving business problems through innovation & engineering practices. In your role, you will be hands on supporting engineering teams across Research Tech AI Engineering successfully manage a growing Data and AI platform. You will drive infra and platform management of existing and new services and applications in the public cloud by maintaining and managing a highly available critical cloud infrastructure and partnering with Engineering, SRE, Architecture, firmwide Data and AIML teams, focusing on the following

Job Responsibilities:

• Drive, support and deliver on a strategy to effectively manage a resilient, secure and high performing Data and AIML platform
• Improve management, hygiene, reliability, quality, and cost of our platform
• Design and maintain an up-to-date functional architecture for the platform with clear capabilities, ownership and governance model
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
• Provide primary infrastructure operational, optimization and engineering support for platform, including introducing tooling and processes for effective management
• Collaborate with Engineering team to develop real-world solutions and positive user experiences at every interaction
• Coordinate and manage infrastructure upgrades, migrations, platform/DevOps engineering practices and implement tooling and processes for effective, seamless and fast execution
• Drive Cost/platform management through the effective design and optimization of public cloud platforms and technologies
• Influence Engineering and architecture decisions through close collaboration, oversight and awareness of firmwide tooling

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Demonstrated experience working with a major public cloud provider (AWS) and infrastructure as code (Terraform)
• Working knowledge of infrastructure components (e.g. routers, load balancers, cloud products, container systems, compute, storage, and networking)
• Experience defining non-functional standards and blueprints related to SRE, DevOps and cloud platform engineering.
• Able to implement highly available, resilient architectures and ensure the infrastructure is kept evergreen.
• Ability to partner with and influence architecture teams in defining non-functional application supportability standards
• Proven leadership skills with drive for continuous improvement
• Exceptional interpersonal, relationship and communication skills
• AWS Cloud certification, Terraform certification and/or other relevant certifications

Preferred qualifications, capabilities, and skills

• Experience with Data and/or AIML platform engineering in commercial settings, preferably in financial sector
• Exposure to Big data platform engineering and technologies
• Hands-on Software engineering and application development experience
• Practical experience with Kubernetes, EKS, Docker and MLOps
• Experience with Enterprise/Solution architecture and application/platform ownership
• Experience adopting AI and other tooling for platform management