Senior Software Engineer (ai-first, Full-stack, Aws, Kubernetes)

WGU

Base: $140,200.00 - $217,200.00; bonus/equity: eli...
Hybrid
6+ years professional software engineering experience
Strong proficiency in java, kotlin, python, or similar
Significant frontend experience with angular
WGU is seeking a Senior Software Engineer with extensive experience in full-stack development, particularly with AI-powered applications, AWS, and Kubernetes. The role emphasizes technical discovery, architectural leadership, and collaboration with product and design teams to deliver scalable solutions

Job Summary

  • The role involves leading technical discovery efforts to translate ambiguous problems into scalable, production-ready AI solutions.
  • Candidates will design and implement AI-powered features using Large Language Models deployed on AWS and Kubernetes.
  • The position offers a competitive salary range of $140,200.00 - $217,200.00 along with comprehensive benefits including flexible paid time off.

Matching Summary

Match Score: 85

WGU is seeking a Senior Software Engineer with extensive experience in full-stack development, particularly with AI-powered applications, AWS, and Kubernetes. The role emphasizes technical discovery, architectural leadership, and collaboration with product and design teams to deliver scalable solutions.

Salary

Base: $140,200.00 - $217,200.00; Bonus/Equity: Eligible for bonuses; Benefits: Medical, dental, vision, retirement savings plan, flexible PTO

Skills & Requirements

Must-have

  • 6+ years professional software engineering experience
  • Strong proficiency in Java, Kotlin, Python, or similar
  • Significant frontend experience with Angular
  • Hands-on experience deploying on AWS and Kubernetes
  • Experience building AI-powered features using LLMs

Nice-to-have

  • Experience mentoring engineers and leading cross-team initiatives
  • Familiarity with service meshes and event-driven architectures
  • Ability to balance experimentation with engineering rigor
  • Excitement about applying AI technologies responsibly at scale

Key Requirements

  • Bachelor's Degree or equivalent relevant experience
  • 6+ years of professional software engineering experience
  • Proven ability to work in ambiguous problem spaces

Work Rights

Not specified

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