JobID: 210623711 Category: Software Engineering JobSchedule: Full time Posted Date: 2025-05-06T16:11:17+00:00 JobShift: Base Pay/Salary: San Francisco,CA $152,000.00-$215,000.00; Palo Alto,CA $152,000.00-$215,000.00 Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities: * Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to build solutions or resolve technical problems. * Develop secure, high-quality production code, and review and debug code written by others. * Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems. * Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented assessments of architectural designs, technical credentials, and their applicability within existing systems and information architecture. * Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies. * Contribute to a team culture of diversity, equity, inclusion, and respect. * Develop and deploy cloud infrastructure platforms that are secure, scalable, and optimized for AI and machine learning workloads. * Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements. * Monitor, manage, and optimize cloud resources to maximize performance and minimize costs. * 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, Capabilities, and Skills: * Formal training or certification in software engineering concepts with 5+ years of applied experience. * Hands-on practical experience in delivering system design, application development, testing, and ensuring operational stability. * Advanced proficiency in one or more programming languages such as Python and/or Golang. * Proficiency in automation and continuous delivery methods. * Proficient in all aspects of the Software Development Life Cycle. * Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). * 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, IaaS, Storage, Security, and routing/switching technologies. Preferred qualifications, capabilities, and skills * Foundational understanding of NVIDIA GPU Infrastructure software (e.g., NVIDIA DCGM, BCM, Triton Inference). * Hands-on experience with ML frameworks such as PyTorch, TensorBoard. * Experience with observability tools like Prometheus, Grafana. * Experience in ML Ops and associated tooling like MLflow. * Experience with High Performance Computing and Machine Learning frameworks such as vLLM, Ray.io, Slurm. * Strong background in network architecture, database programming (SQL/NoSQL), and data modeling. * Familiarity with cloud data services and big data processing tools. FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.