Full Stack Engineer

Alderson Loop is seeking a Full Stack Developer to support a large-scale AWS-first cloud transformation initiative. This role is ideal for engineers with a full-stack mindset who bring a mix of experience across application, data, and front-end development, rather than deep specialization in only one layer.

You will help design and build modern, cloud-native applications while contributing to AI-enabled initiatives and establishing the organization’s next-generation technology foundation. This is a high-visibility role in a fast-moving, startup-like environment where engineers have significant influence and ownership.

Key Responsibilities

• Design and develop cloud-native applications as part of an AWS-first modernization effort.
• Contribute across multiple layers of the stack, including:
• Application Layer: Python or .NET services and APIs
• Data Layer: Postgre
  
  SQL or MySQL data models and integrations
• Front End: React or Angular user interfaces
• Support migration from legacy systems to scalable AWS architectures.
• Help establish cloud baselines, data foundations, and AI/agentic development environments.
• Contribute to AI-enabled initiatives such as chatbots, intelligent forms processing, and client setup optimization.
• Participate in Agile product delivery cycles (6-week increments).
• Collaborate with engineering leadership and cross-functional teams to deliver innovative solutions.

Required Qualifications

• Experience developing in AWS cloud environments (certification strongly preferred).
• Proficiency in at least one of the following, with exposure to others:
• Python or .NET (application layer)
• Postgre
  
  SQL or MySQL (data layer)
• React or Angular (front end)
• Experience working in Agile development environments.
• Strong problem-solving skills and ability to operate in fast-paced, evolving environments.

Preferred Qualifications

• AWS certifications (Associate minimum; Professional or Specialty highly valued), such as:
• Solutions Architect (Associate or Professional)
• Data Specialty
• Machine Learning Specialty (nice to have)
• Exposure to AI/ML or agentic AI environments (e.g., AWS Bedrock).
• Experience with cloud security best practices.
• Prior experience in product-based delivery models.