Lead Software Engineer - Cloud DevOps & AI

The Lead Software Engineer role is based onsite in Plano, TX and sits within JPMorganChase's Consumer and Community Banking - Deposits team. The position concentrates on delivering secure, scalable technology solutions across multiple domains in an agile environment, supported by at least five years of software engineering experience.

Responsibilities

• Design and implement CI/CD pipelines and infrastructure-as-code frameworks, plus container orchestration strategies using Kubernetes, Docker, Terraform, and Spinnaker, while applying AI-driven automation to deployments across cloud and on‑premises environments.
• Lead the architecture, deployment, and governance of cloud infrastructure in AWS, establishing practices for reliability, scalability, security, and cost optimization across cloud environments.
• Advance the use of AI and machine learning within DevOps workflows, including intelligent monitoring, predictive analytics, and automated remediation, and assess AI-powered tools to raise development velocity and system reliability.
• Oversee the integration of intelligent agents for workflow automation, decision-making, and process optimization.
• Develop AI-powered observability capabilities to monitor and manage application and infrastructure health, automating alerting, root cause analysis, and incident response with advanced ML techniques.
• Collaborate with engineering, product, and operations teams to identify automation opportunities and deliver impactful solutions.
• Stay current with AI/ML technologies and industry trends, driving continuous improvement by evaluating new tools and approaches.
• Provide hands-on technical guidance to a team of software and DevOps engineers, cultivating a culture of innovation, accountability, and continuous learning.
• Conduct code reviews, architectural assessments, and design discussions to preserve engineering excellence.
• Promote the enterprise‑approved AI assisted engineering practices, establishing validation standards and encouraging reuse of effective patterns across the team.
• Apply knowledge of the software development lifecycle toolchain, including AI-assisted development, to maximize the value of automation.

Requirements

• Formal training or certification in software engineering concepts and a minimum of five years of applied experience.
• Experience in AI/ML engineering with demonstrated expertise in agent-based systems and automation.
• Strong background automating infrastructure as code development (Terraform, Ansible, CloudFormation) with AI/ML approaches.
• Deep understanding of observability tooling (Prometheus, Grafana, ELK stack) and AI/ML driven automation.
• Proficiency in Python, Java, or comparable languages, with experience in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Proven ability to apply software engineering practices within a technical discipline (cloud, AI, ML, etc.).
• Experience leading the use of approved AI-assisted development tools (coding, code review, testing acceleration, troubleshooting) and setting expectations for validating AI outputs for correctness, performance, and security.
• Strong commitment to responsible AI use in engineering workflows, including data sensitivity handling, secure inputs/outputs, resiliency, and security; experience coaching engineers on compliant adoption.

Technologies

• Kubernetes
• Docker
• Terraform
• Spinnaker
• AWS
• Ansible
• CloudFormation
• Prometheus
• Grafana
• ELK stack
• Python
• Java
• TensorFlow
• PyTorch
• Scikit-learn
• Azure
• GCP

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Commission-based pay
• Discretionary incentive compensation
• Cash and/or forfeitable equity

Job Description

There is an opportunity to advance your career and engage in challenging work that extends the limits of what is possible. As a Lead Software Engineer within the Consumer and Community Banking - Deposits team, you will be a core technical contributor responsible for delivering critical technology solutions across multiple domains in support of the firm’s objectives. You will operate within an agile environment to build trusted, secure, scalable products that serve a wide range of customers and stakeholders.

About Us

Chase is a leading financial services firm that serves households and small businesses with a broad range of products. Our mission focuses on creating engaged, lifelong relationships and placing customers at the center of everything we do, while supporting small businesses, nonprofits, and municipalities with tailored solutions. We offer a competitive total rewards package that includes base salary determined by role, experience, skill set, and location, with eligible roles potentially receiving commission-based pay and discretionary incentive compensation in recognition of achievements. We are committed to diversity and inclusion as an equal opportunity employer, and we do not discriminate on protected attributes. Equal Opportunity Employer/Disability/Veterans.

About the Team

Our Consumer and Community Banking Group relies on innovative professionals to serve consumers, small businesses, municipalities, and nonprofits. The team focuses on delivering award-winning tools and services across personal and small business banking, lending, mortgages, payments, and digital experiences, including next generation mobile and online banking solutions. This group emphasizes building advanced technology experiences that support financial goals for a broad customer base.