AWS Lead Software Engineer-Full Stack/Java/SpringBoot

JPMorgan Chase & Co.
Tampa, FL, United States
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Software Applications Automation of Tests Software Quality Code Review Databases Continuous Integration Database Queries Software Debugging Payment Systems
+27 more
Gradle Groovy Java Persistence API Python (Programming Language) Machine Learning Oracle (Applications) Software Tools Secure Coding Software Engineering Software Systems SQL Databases Strategies of Testing Spring-boot Backend Git Event Driven Architecture Containerization Kubernetes Production Code Maintaining Code Apache Kafka Restful APIs Code Restructuring Software Version Control Docker Jenkins Programming Languages

Job description

As an AWS Lead Software Engineer-Full Stack/Java/SpringBoot at JPMorgan Chase within Commercial and Investment Banking’s Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading healthcare technology product 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., * 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

  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • 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
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Requirements

  • Formal training or certification on Software Engineering concepts and 5+ years applied experience
  • Hands-on experience coding in Java, Spring Boot, JPA, SQL, REST
  • Experience with event driven architecture using Kafka
  • Experience building RESTful backend applications using Spring Boot and solid relational enterprise databases with Oracle
  • Experience with version control systems, such as Git.
  • Strong knowledge of CI/CD e.g. Jenkins
  • Hands-on practical experience in system design, application development, testing and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Solid understanding of cross cutting concerns such as Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

  • Familiarity with Groovy and Gradle
  • Experience coding in Python
  • Strong understanding of containerization technologies such as Kubernetes or Docker
  • Exposure to AI/ML technologies - especially familiarity with model training and inference
  • Exposure to AWS cloud technologies

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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