Lead Software Engineer - Java, AI

Lead Software Engineer - Java, AI

Full-Time No working from home possible
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At a Glance

  • Tasks: Design and develop scalable Java applications that impact millions globally.
  • Company: Join JPMorganChase, a leader in global finance and technology.
  • Benefits: Competitive salary, growth opportunities, and a collaborative work culture.
  • Other info: Mentorship opportunities and a focus on innovation await you.
  • Why this job: Make a real difference in financial technology while working with top engineering minds.
  • Qualifications: Advanced Java skills and experience with cloud-native solutions required.

Join JPMorganChase, where technology powers the future of global finance. As part of our Corporate Technology organization, you'll work alongside some of the brightest engineering minds in the industry, building resilient, scalable systems that serve millions of customers and businesses worldwide. Here, your work doesn't just solve technical problems — it drives real business outcomes at extraordinary scale. We invest in your growth, champion collaboration, and give you the tools to do the best work of your career.

As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will play a pivotal role in designing and delivering high-quality software solutions that power critical enterprise platforms. You will bring technical depth, a collaborative mindset, and a passion for engineering excellence to a team that values innovation and continuous improvement. Your contributions will directly influence the reliability, scalability, and performance of systems that matter to the firm and its clients.

Job responsibilities

  • Design and develop robust, scalable Java-based applications that meet complex enterprise requirements across multiple business domains.
  • Lead the architecture and implementation of cloud-native solutions on AWS, ensuring high availability, security, and performance.
  • Drive the adoption and continuous improvement of CI/CD pipelines, enabling faster, more reliable software delivery.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes.
  • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Collaborate with cross-functional teams including product, architecture, and business stakeholders to translate requirements into technical solutions.
  • Conduct thorough code reviews and establish engineering best practices that elevate the quality and consistency of the team's output.
  • Mentor and coach junior engineers, fostering a culture of learning, ownership, and technical growth.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience.
  • Advanced proficiency in Java, including experience building and maintaining large-scale, production-grade applications.
  • Hands-on experience designing and deploying cloud-native solutions on AWS (e.g., EC2, S3, Lambda, RDS, EKS).
  • Demonstrated experience building and maintaining CI/CD pipelines using industry-standard tools.
  • Strong understanding of software design patterns, distributed systems, and microservices architecture.
  • Proven ability to lead technical discussions, influence design decisions, and drive alignment across engineering teams.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs.

Preferred qualifications, capabilities, and skills

  • Experience with infrastructure-as-code tools such as Terraform or AWS CloudFormation.
  • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
  • Exposure to observability and monitoring practices using tools such as Datadog, Splunk, or equivalent platforms.
  • Experience contributing to or leading architectural decisions in a large, matrixed enterprise environment.
  • Knowledge of security best practices in cloud and application development contexts.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

Lead Software Engineer - Java, AI employer: JP Morgan Chase

Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.

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Contact Details:

JP Morgan Chase Recruitment Team

We think you need these skills to ace Lead Software Engineer - Java, AI

Java
Cloud-Native Solutions
AWS (EC2, S3, Lambda, RDS, EKS)
CI/CD Pipelines
Software Design Patterns
Distributed Systems
Microservices Architecture