Lead Software Engineer Java
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Job Description
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 JPMorgan Chase within the Wholesale Credit Risk Technology, 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
As a Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk Technology, 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
- Provides guidance and manages a team of software engineers on daily tasks and activities to deliver high quality software
- Sets the overall guidance and expectations for team output, practices, and collaboration
- Participate in design sessions with fellow programmers, business analysts, Product Owners and other team members to analyze business requirements and outline the proposed IT solution
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
- Applies 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 and support capacity unlock initiatives.
- Primarily, design and implement secure and robust REST APIs using technologies such as Java Spring Boot and Spring MVC for cloud native micro-service applications
- Demonstrates overall knowledge of the Software Development Life Cycle with solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Participate in code reviews
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 14+ years applied experience.
- Experience leading technology projects working as a hands-on (actively coding) Application
- Development Lead or related role.
- Hands-on experience using AI tools and drives the development with AI First mindset
- Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations ability to coach engineers on compliant and effective usage.
- Experience leading technology projects and managing technologists
- Experience with using Cloud computing, micro services, Containers/Dockers/Kubernetes, Kafka in a highly distributed environment
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Ability to understand UI technologies such as JavaScript / React and experience in building enterprise applications
- Proficient in automation, continuous delivery methods and all aspects of the Software Development Life Cycle
- Extensive knowledge and experience working in an Agile environment.
- Passionate about learning emerging technologies
Preferred qualifications, capabilities, and skills
- knowledge of the financial services industry and their IT systems
- Hands on experience with writing functional and regression automated tests to be run as part of the build pipeline.
- Experience working and collaborating with global teams across multiple time zones
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About Company
Skills:
Java, Glacier, Databricks, S3, Emr, Apache Spark, Grafana, Kafka, AWS, Prometheus, Python, Kotlin, ECS, Ec2, Helm, Terraform, Jenkins, PostgreSQL, EKS, GitHub Actions, OpenTelemetry, Delta Lake, ArgoCD