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Senior Lead Software Engineer - Python/Java/Spring/AWS

JPMorgan Chase
Plano, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 4 days ago
awsecseksgitjavajenkins

Full Job Posting

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
  • 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.
  • 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

Required qualifications, capabilities, and skills:

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 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
  • Advanced in one or more programming language(s): Python, J2EE, Core Java including Java 17 with annotation, enum, collections, streaming, multithreading, concurrency, regular expressions, functions.
  • Experience with spring including In-depth knowledge of Spring Framework for building RESTful Web Services, MVC, and Spring Boot.
  • Strong AWS experience, architecting, deploying, and operating cloud-native services (e.g., IAM, VPC, ECS, EKS, SQS, S3, RDS, ALB/NLB, Secrets Manager, ElastiCache)
  • Experience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, GitHub and BitBucket is required.
  • Development using Agile methodology. Web Security including OAUTH2/ADFS, Kerberos, Cross Site Scripting and HTTP injection.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in automation and continuous delivery methods
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills:

  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform

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