Developer-Full Stack Specialist
Mclean, VA Contract Jul 23, 2026
Developer-Full Stack Specialist -
Required Technical Skills (must-have)
GenAI / LLM + agentic development
Hands-on experience building LLM-powered agents (tool-using, multi-step reasoning,
guardrails).
Experience with prompting patterns, structured outputs (JSON schemas), evaluation, and
reducing hallucinations.
Ability to design agent workflows for:
o Test generation/augmentation
o Requirements review and completeness validation
o Report generation and summarization
GitHub platform + GHCP (Copilot) for engineering workflows
Strong proficiency with GitHub Copilot in day-to-day development.
Deep experience with GitHub platform capabilities:
o GitHub Actions (CI/CD pipelines, reusable workflows, composite actions)
o PR checks, branch protections, CODEOWNERS, templates
o Automation via GitHub APIs/webhooks (as needed)
Test automation engineering (framework expertise)
Advanced experience designing and implementing automation with:
o Karate (API testing, contract-like checks, data-driven testing, mocks)
o Playwright (UI automation, selectors strategy, parallelization, trace/video
artifacts)
Strong understanding of test design and coverage:
o Happy path scenarios
o Negative/validation scenarios
o Edge/boundary scenarios
o Data setup/teardown strategies and test isolation
Cross-service reporting and data aggregation
Proven ability to aggregate and normalize results from multiple microservices and multiple
pipelines.
Experience producing actionable automated reports (trend analysis, failure clustering,
service correlation).
Automated requirements review agents
Experience implementing automated checks that validate:
o Acceptance criteria completeness
o Required test data and environment dependencies
o Non-functional requirements (performance, security, observability) when
applicable
Deliverables / What success looks like (for the posting)
A reusable agentic testing automation kit adopted by multiple teams.
Published coverage standards + templates and onboarding documentation.
A working GenAI-assisted reporting pipeline aggregating results across microservices.
Automated quality gates integrated into GitHub workflows that measurably reduce story
churn.