Join us and help shape the future of AI/ML infrastructure at JPMorgan Chase. You will have the opportunity to work with cutting-edge technologies and collaborate with talented teams to deliver secure and scalable solutions. Your expertise will directly impact our strategic goals and support the deployment of advanced models. We value your creativity, problem-solving skills, and commitment to continuous learning. Be part of a team that celebrates diversity, equity, and respect.
As an Infrastructure and Development Engineer at JPMorgan Chase within the Commercial and Investment Banking team, you will design, build, and maintain robust AI/ML infrastructure. You will leverage AWS, Terraform, and Python to create secure and scalable environments for model deployment. Collaborating with internal teams, you will contribute to a culture of innovation and ensure our solutions align with the firm’s technology strategy. Your work will help promote operational efficiency and support our commitment to excellence.
Job Responsibilities:
Design, engineer, and implement AI/ML infrastructure solutions using AWS, Terraform, and PythonEnsure scalability, security, and operational efficiency in all infrastructure projectsTroubleshoot complex infrastructure issues and optimize performanceAutomate provisioning and management processes to enhance stability and reduce manual tasksCollaborate with internal teams to evaluate architectural designs and technical credentialsAlign solutions with existing systems and cloud architectureContribute to a team culture that values opportunity and respectRequired Qualifications, Capabilities, and Skills:
Formal training or certification on software engineering concepts and expanding applied experience.Proficiency with AWS technologies, including EKS, S3, Database, and LambdaHands-on experience with Terraform for infrastructure as code and automationCompetence in Python programmingStrong problem-solving abilitiesWillingness to learn new technologies and processesExperience in infrastructure engineering, implementation, testing, and operational stabilityFamiliarity with continuous delivery methods and infrastructure lifecycle managementProficiency in infrastructure applications and technical processes within cloud computing and automationUnderstanding of AI/ML model purposes and functionsAbility to communicate clearly and collaborate with business stakeholdersKnowledge of financial services industry IT systemsDegree-level educationPreferred Qualifications, Capabilities, and Skills:
Experience supporting AI/ML model deployments in production environmentsAdvanced knowledge of cloud security best practicesFamiliarity with DevOps methodologies and toolsExperience working in large, matrixed organizationsExposure to regulatory requirements in financial servicesStrong documentation and technical writing skillsAbility to mentor and support junior engineers