Senior Lead Software Engineer- AI Platform engineer
JPMorgan Chase5 hours ago
Base Salary
$176k - $260k/yr
Responsibilities
- Provide technical guidance and collaborate with engineers, contractors, and vendors to meet business goals.
- Develop, review, debug, and improve secure, high-quality production code.
- Influence product design, application functionality, technical operations, and software development lifecycle practices.
- Architect and deploy secure, scalable cloud platforms optimized for AI and ML workloads.
- Translate AI team compute requirements into infrastructure requirements.
- Monitor, manage, and optimize cloud resources for performance and cost efficiency.
- Build infrastructure-as-code, automation, and deployment operations for ML workloads.
- Drive adoption and governance of approved AI-assisted engineering practices and establish standards for validating AI-generated outputs.
- Promote responsible, secure, resilient, and compliant use of AI-assisted development tools across engineering teams.
Requirements
- Formal training or certification in software engineering concepts and at least five years of applied experience.
- Hands-on experience with system design, application development, testing, and operational stability.
- Strong Kubernetes and Docker experience, including cluster operations and production troubleshooting.
- Proficiency in at least one of Python, Go, Java, or C#.
- Ability to independently solve design and functionality problems with minimal oversight.
- Knowledge of IaaS, PaaS, SaaS, and public, private, and hybrid cloud deployment models.
- Foundational understanding of machine learning, transformer architecture, ML training, and inference.
- Experience with infrastructure-as-code and cloud component architecture, including microservices, storage, security, and routing and switching technologies.
- Experience leading enterprise-authorized AI-assisted software development tools and validating their correctness, performance, and security.
- Understanding of responsible AI practices, data sensitivity, secure input and output handling, resiliency, and security controls.
- Preferred qualifications include NVIDIA GPU infrastructure, Prometheus, Grafana, MLOps, MLflow, vLLM, Ray.io, Slurm, network architecture, SQL/NoSQL database programming, data modeling, cloud data services, big data processing tools, and Linux.
Benefits
- Competitive total rewards and benefits may include comprehensive health care, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility and role and location details.
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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.