Senior Lead Software Engineer- AI Platform engineer
JPMorgan Chase2 days ago
Base Salary
$176k - $260k/yr
Responsibilities
- Provide technical guidance to engineers, contractors, and vendors while aligning implementation with business goals.
- Develop, review, debug, and improve secure, high-quality production code.
- Influence product design, application functionality, and technical operations through technical decisions.
- Architect and deploy secure, scalable cloud platforms optimized for AI/ML workloads.
- Translate AI team compute needs into infrastructure requirements.
- Monitor, manage, and optimize cloud resources for performance and cost efficiency.
- Build CI/CD automation and infrastructure-as-code to streamline ML deployment and operations.
- Drive adoption and governance of approved AI-assisted engineering practices across teams.
- Establish validation standards for secure coding, peer review, automated testing, and AI-generated outputs.
- Promote reusable engineering patterns and automation within the SDLC/TLM toolchain.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on experience with system design, application development, testing, and operational stability.
- Strong experience with Kubernetes and Docker, including cluster operations and production troubleshooting.
- Proficiency in at least one programming language, such as Python, Go, Java, or C#.
- Ability to independently solve design and functionality problems with minimal oversight.
- Strong knowledge of IaaS, PaaS, SaaS, and public, private, and hybrid cloud deployment models.
- Foundational understanding of machine learning concepts, including transformer architecture, training, and inference.
- Experience with infrastructure-as-code and cloud component architecture, including storage, security, and routing/switching technologies.
- Experience leading enterprise-authorized AI-assisted software development tools and validating their correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, data sensitivity, secure input/output handling, resiliency, and security controls.
- Preferred experience with NVIDIA GPU infrastructure software, Prometheus, Grafana, MLOps, MLflow, high-performance computing, vLLM, Ray.io, Slurm, network architecture, SQL/NoSQL database programming, data modeling, cloud data services, big data processing, and Linux.
Benefits
- Competitive total rewards package with role-, experience-, skill-, and location-based base salary, plus eligible incentive compensation.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Equal opportunity employer offering reasonable accommodations for religious practices, mental health, and physical disability needs.
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.