Quality Assurance Analyst [QAA-2026-09]

Agate SoftwareOkemos, MI
Onsite

About The Position

At Agate Software, we are building a better world by revolutionizing how government agencies and nonprofits manage their grant processes. Our solutions empower our customers to maximize their resources, drive compliance, and focus on their core missions of distributing millions of dollars in funding for critical social services. Our success is built on three pillars: Innovation, Integrity, and Impact. For over 20 years, Agate Software has been at the forefront of transformative innovation in the grant management industry. Our journey is marked by groundbreaking achievements and a commitment to pushing boundaries. By simplifying complex workflows, enhancing transparency, and turbo-charging efficiency, we enable our customers to maximize the impact of their funding. Always challenging the status quo, we strive to set new industry standards and we are seeking the brightest minds to join us in this mission. If you're ready to apply your expertise in a dynamic, growth-oriented, mission-driven environment, read on to see how this position aligns with your skills and interests! Please note that this is an onsite position that is eligible for a hybrid schedule (3 days required onsite/2 days remote) after the first 90 days.

Requirements

  • ~3+ years of QA experience across the SDLC in fast-moving teams.
  • Strong test design and risk-based prioritization; comfort saying “not ready” when criteria are weak.
  • Clear, concise communication with Developers, Project Managers, and Business Analysts; healthy EQ and respectful professional pushback.
  • SQL proficiency for data validation and sanity checks.
  • Bias for simple, repeatable process over heroics

Responsibilities

  • Create and maintain test cases tied to acceptance criteria and real user flows.
  • Prioritize by risk to protect the highest-impact paths first.
  • Execute manual tests; log “dev-ready” defects with clear repro steps and data.
  • Validate data with basic SQL (read/write simple queries, joins, filters).
  • Push for clarity early: flag gaps, reject unclear stories, and partner with Project Managers and Business Analysts to solidify customer requirements.
  • Establish lightweight QA guardrails (where test cases live, how they’re written, how they’re kept current).
  • Tighten UAT: shorten cycles, reduce rework, and improve signal quality.
  • Publish simple metrics (coverage, escaped defects on covered flows, UAT cycle time).
  • Build an initial backlog of high-ROI automation candidates as we scale.
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