Software Development Engineer, Veritas

Amazon Amazon · Big Tech · San Diego, CA · Software Development

Software Development Engineer to join a team working on resource and application discovery within Amazon security. The role involves designing, building, and scaling front-end and back-end systems for a foundational security service called Veritas. Responsibilities include technical leadership, collaboration with product and engineering teams, and ensuring software quality, performance, and scalability. The role also involves operational excellence for the system, including its graph database and ETL processes.

What you'd actually do

  1. designing, building, and scaling both our front-end framework and back-end APIs and services
  2. work closely with engineers and leaders to drive product vision and lead technical implementation efforts
  3. partner with with other Product teams, and Engineering teams to evaluate and develop security services and infrastructure
  4. help define the product features, refine system architecture, and spearhead best practices that enable a quality product
  5. heavily influence design and implement significant portions of “critical-path” code, work independently and collaborate on software design reviews with senior engineers to ensure software is scalable, performant, and maintainable for the long term

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software prog

What the JD emphasized

  • strong cross-organizational collaboration
  • unique blend of technical leadership and deep engineering expertise
  • commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements
  • exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems