Software Development Engineer Iii, Delta Change Management Service

Amazon Amazon · Big Tech · IN, TS, Hyderabad · Software Development

Software Development Engineer III role in Amazon FinTech's Delta team, focusing on architecting and developing scalable financial systems. The role involves leveraging AI/ML for compliance monitoring, anomaly detection, and SDLC monitoring, with a strong emphasis on technical leadership, architectural decisions, and driving innovation in financial technology.

What you'd actually do

  1. Architect and develop highly scalable, fault-tolerant services that underpin large-scale financial processing solutions with significant business impact
  2. Lead the design, implementation, and delivery of large-scale financial systems, establishing high standards for quality, maintainability, and performance
  3. Drive technical architecture decisions ensuring systems are highly-available, dynamically scalable, and resilient, establishing mechanisms to measure and improve performance
  4. Collaborate with senior engineers to design and implement innovative software applications while leveraging AI/ML technologies to improve compliance accuracy
  5. Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and growth

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Bachelor's degree in computer science or equivalent

Nice to have

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

What the JD emphasized

  • AI/ML technologies to expand compliance monitoring
  • Anomaly Detection
  • Software Development Lifecycle Monitoring with Deployment Validation
  • leverage AI/ML technologies to improve compliance accuracy
  • integrate AI/ML capabilities

Other signals

  • AI/ML technologies to expand compliance monitoring
  • Anomaly Detection
  • Software Development Lifecycle Monitoring with Deployment Validation
  • integrate AI/ML capabilities