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oracle

Senior Lead Software Engineer - Python, AWS, SQL

JPMorgan Chase
Glasgow, GBR
Full-time
Senior
Onsite
Discovered 1 weeks ago
awspythonreact

Full Job Posting

Job Responsibilities

  • Execute creative software solutions through design, development, and technical troubleshooting to break down complex problems
  • Develop secure, high-quality production code and review and debug code written by others
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of applications and systems
  • Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within existing systems and information architecture
  • Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies
  • Contribute to a team culture of diversity, equity, inclusion, and respect
  • 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

Required Qualifications, Capabilities, and Skills

  • Formal training or certification in software engineering concepts
  • Hands-on experience delivering system design, application development, testing, and operational stability
  • Advanced programming capability in Python
  • Strong analytical and problem-solving skills
  • Experience with object-oriented programming
  • Proficiency in automation and continuous delivery methods
  • Advanced understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security practices
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)
  • Practical cloud-native experience
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred Qualifications, Capabilities, and Skills

  • Knowledge of AWS data sources
  • Experience with SecDB, Athena, or Quartz platforms
  • Macro trading business knowledge
  • UI experience with React.js and Node.js
  • Experience building microservices and distributed computing solutions
  • Knowledge of data modeling, performance engineering, and regression testing

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