Design, build, and test incremental, production-ready solutions that deliver measurable business outcomes.
Contribute across the stack (front-end and back-end), with attention to scalability, performance, maintainability, and security-first design.
Implement AI-DLC Patterns (e.g., code assistants, chat/agent tools, test generators) to accelerate analysis, coding, refactoring, test creation, and documentation—while maintaining human oversight and accountability.
Responsible AI: Evaluate AI suggestions for correctness, security, performance, and style; ensure output meets coding standards and organizational guardrails.
Automate the routine: leverage AI to scaffold boilerplate, generate typed API clients, create repeatable test fixtures, and CICD pipelines.
Mentor & pair: model effective AI usage in pairing sessions; coach junior engineers on prompt strategies to promote AIAE practices.
Strong object-oriented skills in C#; deep experience with API design (REST and/or GraphQL) and Angular (or similar).
Cloud-native development (AWS preferred); familiarity with AWS certifications is a plus.
Quality focus with automated testing (unit/integration/acceptance).
Collaborate directly with business leaders and SMEs to understand ACA’s domain and ensure successful delivery.
Experience
Bachelor’s degree in computer science or related discipline