About the job
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking technology - Deposits Platform, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Designs, develops, and deploys AI/ML models and agent-based systems to automate business and technology processes.
Leads the integration of intelligent agents for workflow automation, decision-making, and process optimization.
Builds and maintain AI-driven tools to automate IAC development, deployment, and management across cloud and on-prem environments.
Collaborates with DevOps teams to enhance CI/CD pipelines using machine learning for predictive analytics and automated remediation.
Develops AI-powered observability solutions to monitor, analyze, and proactively manage application and infrastructure health.
Automates alerting, root cause analysis, and incident response using advanced ML techniques. Works closely with cross-functional teams (engineering, product, operations) to identify automation opportunities and deliver impactful solutions.
Stays abreast of emerging AI/ML technologies, frameworks, and industry trends.
Drives continuous improvement by evaluating and implementing new tools, methodologies, and approaches.
Adds to team culture of diversity, opportunity, inclusion, and respect
Qualifications
Minimum
Formal training or certification on software engineering concepts and 5+ years applied experience. Hands-on practical experience delivering system design, application development, testing, and operational stability
5+ years of experience in AI/ML engineering, with proven expertise in agent-based systems and automation.
Strong experience in automating IAC development (e.g., Terraform, Ansible, CloudFormation) using AI/ML.
Deep understanding of observability tools (e.g., Prometheus, Grafana, ELK stack) and automation using AI/ML.
Proficiency in Python, Java, or similar programming languages; experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred
Proficiency in automation and continuous delivery methods
In-depth knowledge of the financial services industry and their IT systems
Practical cloud native experience