Senior Lead Engineer - Full Stack Engineer

JPMorgan Chase & Co.•Jersey City, NJ

45d

About The Position

As a Senior Lead Full Stack Software Engineer at JPMorgan Chase within the Corporate Sector of the 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. You will architect, build, and optimize scalable web applications and infrastructure platforms. You'll lead cross-functional teams, mentor junior engineers, and drive strategic technology decisions that impact firm wide systems. This role demands deep expertise in both front-end and back-end technologies, CI/CD automation, cloud-native development, and platform engineering. We are looking for a highly skilled Software Engineer to lead the design, development, and deployment of automation and AI-driven solutions across our Tier 3 R&D data centers. This role will focus on transforming infrastructure operations into intelligent, self-healing systems using machine learning, orchestration frameworks, and cloud-native technologies.

Requirements

Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Strong proficiency in Java, Node.js, JavaScript, HTML, CSS, and SQL/NoSQL databases, Spring Boot, Hibernate, Express.js, and React/Angular.
Experience with CI/CD pipelines, observability tools, and event-driven architectures.
Deep understanding of Agile methodologies, SDLC, and DevOps practices.
Familiarity with cloud platforms (AWS, Azure, GCP), container orchestration (Kubernetes, Docker), MLOps tools (e.g., MLflow), and cloud platforms (AWS, Azure), deploying and monitoring LLMs using RAG, vector databases, and GPT-based models.
Knowledge of AI, risk, bias mitigation, and model governance frameworks
Strong problem-solving skills and ability to lead technical design discussions.
Ability to serve as a function-wide subject matter expert in one or more areas of focus and tackle design and functionality problems independently with little to no oversight
Adds to the team culture of diversity, opportunity, inclusion, and respect

Nice To Haves

Strong problem-solving skills and ability to lead technical design discussions
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Collaborate with product managers, designers, and stakeholders to define technical requirements and deliver impactful solutions.
Practical cloud native experience

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Lead the design and development of full-stack applications using Java, Python, Node.js, and modern front-end frameworks (React, Angular, Spring Boot)
Architect scalable backend services and RESTful APIs with performance and resiliency in mind.
Drive platform engineering initiatives including CI/CD pipelines, DevOps automation, and infrastructure-as-code using tools like Jenkins, GitHub Actions, Terraform, and Ansible.
Collaborate with cross-functional teams to embed AI into SDLC pipelines and operational dashboards.
Maintain and optimize VMware environments including ESXi, vSphere, and vCenter, with automation-first principles.
Drives decisions that influence the product design, application functionality, and technical operations and processes
Architect and implement automation workflows for provisioning, monitoring, and compliance enforcement.
Develop AI models for capacity forecasting, anomaly detection, and simulation test classification using supervised and unsupervised techniques.
Integrate ML models into infrastructure platforms to enable predictive alerts, dynamic workload orchestration, and real-time decision making