Senior Solutions Developer, Prototyping and Customer Engineering (pace)

Amazon Amazon · Big Tech · Seattle, WA · Solutions Architect

The Senior Solutions Developer, Prototyping and Customer Engineering (PACE) role at Amazon Web Services (AWS) focuses on building prototypes and early-stage solutions for enterprise customers, primarily leveraging Generative AI. The role requires a strong technical background in cloud architectures and emerging technologies, with an emphasis on hands-on development, customer engagement, and problem-solving in ambiguous situations. The developer will work in small teams to rapidly iterate on solutions addressing specific customer use cases, often exploring new technical grounds.

What you'd actually do

  1. As a prototype developer, you will partner with customers and other AWS teams to craft solutions that address customer use cases and accelerate the adoption of AWS.
  2. You will help shape and build prototypes covering a spread of domains such as AI/ML, AR/VR/Spatial, IoT and Serverless.
  3. Push the technical bar. You will have appetite and take the initiative to learn new topics and experiment, covering domains such as AI/ML, agentic design, serverless and IoT in an enterprise context.
  4. Engage with customers on a specific use case to determine desired outcomes, define a scope and design and implement it (code, CDK, docs) with a small team of developers in 6 weeks
  5. Identify opportunities to scale your impact through internal and external facing initiatives

Skills

Required

  • cloud architectures & platforms
  • emerging technologies
  • technical depth
  • interpersonal and writing skills
  • developer or hands-on solutions architect experience
  • design and architecture knowledge
  • development capability
  • communication skills
  • hands-on experience
  • learn new topics and experiment

Nice to have

  • keeping existing technical skills honed
  • developing new technical skills
  • deep-dive education and design exercises
  • mentoring others

What the JD emphasized

  • critical to the role
  • imperative that you’re self-guided and disciplined
  • deal with ambiguity
  • Push the technical bar

Other signals

  • prototypes
  • generative AI
  • customer use cases
  • AWS