Senior Lead Software Engineer- AI Platform engineer

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 JPMorgan Chase within the Corporate Sector, Infrastructure Platforms team , 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.

Required qualifications, capabilities, and skills


* Provide technical guidance and direction to support business objectives, collaborating with technical teams, contractors, and vendors.


* Develop secure, high-quality production code, and review and debug code written by others.


* Influence product design, application functionality, and technical operations through informed decision-making.


* Advocate for firmwide frameworks, tools, and practices within the Software Development Life Cycle.


* Promote a culture of diversity, equity, inclusion, and respect within the team.


* Architect and deploy secure, scalable cloud infrastructure platforms optimized for AI and machine learning workloads.


* Collaborate with AI teams to translate computational needs into infrastructure requirements.


* Monitor, manage, and optimize cloud resources for performance and cost efficiency.


* Design and implement continuous integration and delivery pipelines for machine learning workloads.


* Develop automation scripts and infrastructure as code to streamline deployment and management tasks.

Required Qualifications:


* Formal training or certification in software engineering concepts with 5+ years of applied experience.


* Hands-on experience in system design, application development, testing, and operational stability.


* Proficiency in programming languages such as Python and/or Golang.


* Ability to independently tackle design and functionality problems with minimal oversight.


* Background in Computer Science, Computer Engineering, Mathematics, or a related technical field.


* Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid Cloud).


* Proficiency in Linux environments, including scripting and administration.


* Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.


* Experience in solutions design and engineering, containerization (Docker, Kubernetes), and cloud service providers (AWS, Azure, GCP).


* Experience with Infrastructure as Code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet).


* Deep understanding of cloud component architecture: Microservices, Containers, I...