Senior Lead Software Engineer - Full Stack
Company: JPMorganChase
Location: Plano
Posted on: April 1, 2026
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Job Description:
Description Be an integral part of an agile team that's
constantly pushing the envelope to enhance, build, and deliver
top-notch technology products. 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. Job 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 Required
qualifications, capabilities, and skills 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 Preferred qualifications, capabilities, and
skills 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
Keywords: JPMorganChase, Garland , Senior Lead Software Engineer - Full Stack, IT / Software / Systems , Plano, Texas
