Lead Software Engineer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorgan Chase within the consumer and community banking technology team, you will be a senior technical leader responsible for driving the architecture, design, and delivery of enterprise-scale platforms and solutions. You will lead engineering teams, shape technical strategy, and champion innovation across full-stack development, cloud-native ecosystems, and emerging technologies including Generative AI. This role demands deep technical expertise, a passion for engineering excellence, and the ability to influence and mentor across the organization.

Job Responsibilities

• Define and drive the system design and architecture of enterprise-scale applications, ensuring scalability, resilience, security, and performance across the firm's technology landscape.
• Establish architectural standards, design patterns, and engineering best practices that align with JPMorganChase's strategic technology direction.
• Evaluate and adopt emerging technologies to maintain competitive advantage and operational excellence.
• Lead the development of high-performance, distributed platforms using Java, Spring Boot, and Event-Driven architectures (Kafka, event sourcing, CQRS).
• Drive full-stack development initiatives, encompassing backend services, APIs, and modern front-end experiences built with React and related UI/UX technologies.
• Architect and deliver solutions within hybrid cloud ecosystems, leveraging public cloud (AWS, Azure, GCP) and private cloud infrastructure.
• Champion container-based application development and orchestration using Kubernetes, Docker, and OpenShift within enterprise-grade ecosystems.
• Drive DevSecOps culture and practices, embedding security into CI/CD pipelines, infrastructure-as-code, automated testing, and deployment workflows.
• Ensure applications meet the firm's standards for security, compliance, and operational resilience.
• Lead the design and implementation of Agentic AI and Generative AI solutions, integrating large language models, AI agents, and intelligent automation into enterprise platforms.

• Collaborate with data science and AI/ML teams to bring innovative AI-driven capabilities to production at scale.

Required qualifications, capabilities and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Deep expertise in Java, Spring Boot, and microservices architectures, including event-driven and message-based systems (e.g., Kafka, RabbitMQ).
• Proven experience in full-stack development with modern UI/UX frameworks, particularly React (including state management, component design, and responsive design).
• Strong experience architecting and deploying applications in hybrid cloud environments (AWS, Azure, GCP, and on-premises infrastructure).
• Extensive experience with container-based platforms (Docker, Kubernetes, OpenShift) and cloud-native development patterns.
• Demonstrated expertise in DevSecOps practices, including CI/CD pipeline design, infrastructure-as-code (Terraform, Ansible), automated security scanning, and observability.
• Experience designing and delivering Agentic AI and/or Generative AI solutions in enterprise environments.
• Proven track record of leading platform development and engineering teams, including hiring, mentoring, and performance management.
• Expert-level ability in system design and architecture of large-scale, distributed, enterprise applications with high availability and fault tolerance.
• Strong communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Preferred qualifications, capabilities and skills:

• Experience in the financial services industry or other highly regulated environments.
• Familiarity with AI/ML frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI APIs, Hugging Face, TensorFlow, PyTorch).
• Experience with API gateway design, service mesh architectures (Istio, Envoy), and GraphQL.
• Knowledge of data engineering practices, real-time streaming, and analytics platforms.
• Experience contributing to or leading open-source projects.
• Advanced degree (MS or PhD) in Computer Science, Engineering, or a related field.