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.
Job 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
Required qualifications, capabilities, and skills
- 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
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Preferred qualifications, capabilities, and skills
- Proficiency in automation and continuous delivery methods
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience