Lead Aws Engineer II

Lead AWS Engineer II role focused on designing, building, and maintaining Cloud Solutions and AI architectures for government clients, leveraging AWS services like Bedrock, Bedrock Agents, Knowledge Bases, and Guardrails. The role involves coaching client teams, defining integration patterns, and applying architecture decisions balancing quality, safety, latency, cost, and model risk, while delivering production-quality code.

What you'd actually do

  1. Coaching client teams and end users on cloud capabilities and enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success
  2. Lead client discussions on the design of technical environments and architecture
  3. Define and implement enterprise integration patterns using AWS integration services
  4. Apply architecture decisions that balance quality, safety, latency, cost, and model risk
  5. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation

Skills

Required

  • Bachelor's degree (or equivalent experience) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, cloud engineering, data engineering, or analytics engineering.
  • 3+ years of hands-on experience hands-on cloud engineering in AWS, including cloud migrations and hybrid networking
  • 1+ years of experience with AWS including hands-on experience with one of the following key platform technologies: Amazon Bedrock, Bedrock Agents, Knowledge Bases, Guardrails.
  • 1+ years of experience building reliable, maintainable, and well-documented code.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Active TS/SCI Security Security Clearance (or higher).

Nice to have

  • Experience leading technical teams.
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
  • Experience with machine learning operations/large language model operations practices: evaluation frameworks, model monitoring, and prompt management.
  • Experience integrating large language model solutions with enterprise systems via application programming interfaces, microservices, or event-driven architectures.
  • Familiarity with security, privacy, and compliance considerations.

What the JD emphasized

  • Active TS/SCI Security Clearance (or higher)

Other signals

  • Designing, building, and maintaining Cloud Solutions and Artificial Intelligence architectures
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk
  • 1+ years of experience with AWS including hands-on experience with one of the following key platform technologies: Amazon Bedrock, Bedrock Agents, Knowledge Bases, Guardrails.