Lead Software Engineer - MLOps / ML Platform
JPMorgan Chase9 hours ago
Base Salary
$157k - $215k/yr
Responsibilities
- Design, build, and maintain platform components supporting the complete ML model lifecycle from development and training through deployment, serving, and monitoring.
- Build and manage AWS-based infrastructure, including Databricks, EMR, ECS, and S3, for model training and serving workloads.
- Automate model deployment, testing, release, and other SDLC/MLOps processes.
- Develop and support automated platform solutions and monitor platform health and model-serving infrastructure.
- Identify and resolve performance, scalability, and stability issues in high-volume, low-latency systems.
- Use and evaluate enterprise-authorized AI-assisted development tools to improve coding, testing, troubleshooting, documentation, and delivery quality.
- Guide peers on responsible AI-assisted engineering practices, including secure handling of sensitive data and validation of generated outputs.
- Contribute to an inclusive culture and continuous improvement across the engineering team.
Requirements
- Formal software engineering training or certification and 5+ years of applied experience.
- Hands-on experience with enterprise-authorized AI-assisted software development tools, including the ability to validate and refine generated outputs for correctness, performance, and security.
- Knowledge of responsible AI use in engineering workflows and secure handling of inputs and outputs.
- Hands-on server-side development experience with Web Services, XML, SOAP, and JMS.
- Experience building high-volume, low-latency, high-throughput transactional systems.
- Experience building microservices with Spring Boot, Spring Core, MVC, Web Services, and Messaging.
- Experience with AWS services including S3, DynamoDB, ECS, EKS, RDS, Lambda, and ALB/NLB.
- Experience with pair-programming agents such as GitHub Copilot.
- Strong knowledge of RDBMS, schema design, SQL, query optimization, indexing, joins, and JDBC.
- Experience with Agile Development and Scrum or similar methodologies.
- Preferred: experience managing projects end-to-end from requirements scoping through launch.
- Preferred: experience with MLOps, model-serving applications, and AI/ML tools and frameworks.
- Preferred: bachelor’s degree in computer science, engineering, mathematics, or a related quantitative field with 10+ years of applied experience, or a master’s degree with 5+ years of applied experience.
- Preferred: AWS Developer or Solution Architect certification.
Benefits
- Competitive total rewards and benefits package, with base salary determined by role, experience, skills, and location.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash and/or forfeitable equity.
- Benefits may include comprehensive healthcare, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- The employer provides equal-opportunity employment and reasonable accommodations.
Categories
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.