质量保障工程主管
Head of QA Engineering
我们是谁:
Strongpoint Partners 是一个技术驱动的退休服务平台,为中小型企业提供集成的退休第三方管理、记录保存、薪资和人力资源解决方案。被列为 Inc. 5000 美国增长最快的私营公司之一,并被评为值得工作的优秀企业。Strongpoint 提供一系列服务,优先考虑准确性、合规性以及降低监管风险,由了解其所服务市场细微差别的本地客户成功团队提供支持。Strongpoint Partners 将对服务和创新的执着热情与实现人人退休目标所需的体验和专业知识相结合。更多信息,请访问:www.strongpointpartners.com。
职位简介
我们的产品与工程团队运营四个平台:SPARK(我们的 TPA 运营人工智能平台)、AGL(顾问成长实验室,我们的顾问社区)、Nexus Bridge(我们的系统集成层)和 Strongpay(我们的薪资和人力资源平台,服务于中小型企业,每天有数千次登录)。这四个平台每两周发布一次。
我们的工程师维护单元测试和集成测试套件,并在每次发布前运行这些测试。除此之外,测试主要由功能的开发者或请求者负责。这种方法在受众较小时是可行的。
随着 Strongpoint 的发展,我们收购的每个公司都会迁移到相同的平台上。2027 年,我们将推动每个 TPA 更深入地采用这些应用,这些应用将越来越多地嵌入他们的核心工作流程中。当 TPA 在我们的软件上运行其核心工作时,一个错误的发布可能会干扰客户服务。在 Strongpay 上,它可能会干扰薪资处理。
你将成为我们第一位专职质量保证(QA)人员,并从头到尾主导该职能。你将制定测试计划,构建自动化测试,确定发布所需的标准,并建立如何衡量和报告质量的机制。
没有现有的 QA 团队可以继承,因此覆盖率将首先通过自动化测试(包括 AI 代理)来实现,然后再通过增加人手来实现。
你将负责的工作
发布测试
负责 SPARK、AGL、Nexus Bridge 和 Strongpay 的发布测试,建立一个在代码发布前进行的独立质量检查,不依赖于开发该功能的工程师。
自动化测试套件
在工程师已维护的单元和集成测试套件基础上进行扩展。目前,这些测试在发布前手动运行,没有任何其他措施。
查看英文原文
Who we are:
Strongpoint Partners is tech-enabled retirement services platform serving small- to mid-sized businesses with integrated retirement third party administration, recordkeeping, payroll, and HR solutions. Recognized as one of Inc. 5000’s Fastest Growing Private Companies in America and certified as a Great Place to Work, Strongpoint offers a suite of services that prioritizes accuracy, compliance, and reduction of regulatory risk for its clients, delivered by local client success teams that understand the nuances of the markets they serve. Strongpoint Partners combines a relentless passion for service and innovation with the experience and expertise required to make retirement work for everyone. For more information, please visit: www.strongpointpartners.com.
About the Role
Our Product and Engineering team runs four platforms: SPARK (our AI platform for TPA operations), AGL (Advisor Growth Lab, our advisor community), Nexus Bridge (our systems integration layer), and Strongpay (our payroll and HR platform for small and mid-sized businesses, with thousands of logins every weekday). All four ship at the end of every two-week sprint.
Our engineers maintain unit and integration test suites and run them before every release. Beyond that, testing has largely been handled by whoever built the feature or requested it. That approach worked while the audience was small.
As Strongpoint grows, every firm we acquire moves onto the same platforms. In 2027, we are pushing for deeper adoption within each TPA, with these applications increasingly embedded in their core workflows. When a TPA runs its core work on our software, a bad release can disrupt client service. On Strongpay, it can disrupt payroll processing.
You will be our first dedicated Quality Assurance (QA) hire and will lead the function end to end. You will set the test plan, build the automation, determine what gates a release, and establish how we measure and report on quality.
There is no existing QA team to inherit, so coverage will come first from automation—including AI agents—before it comes from additional headcount.
What You Will Own
Release Testing
Own release testing across SPARK, AGL, Nexus Bridge, and Strongpay, establishing a defined quality check before code ships that is independent of the engineer who built the feature.
Automated Test Suite
Build on the unit and integration suites our engineers already maintain. Today, those tests are run manually before releases, nothing runs as an automated gate on every build, and features are checked against tickets manually.
You will build regression coverage and integrate it into the pipelines we already use, including GitHub Actions for SPARK and AGL and Azure DevOps for Strongpay.
AI Testing Agents
QA owns these. We already run agents that pick up a ticket when it moves to “Ready for QA” and test it against the acceptance criteria. Today, they serve as a first pass.
You will refine how these agents operate: what they cover, how they test, what still requires human review, and how far we can trust their results.
Load and Performance Testing
SPARK and AGL have never been tested under heavy traffic, while Strongpay carries the highest volume. You will establish load and performance testing across the platforms and identify their limits before the next onboarding finds them for us.
Rollback Planning
Strongpay snapshots its database before every deployment. SPARK and AGL do not currently have a documented process for backing out a release that causes issues in production.
You will create the rollback playbook for each platform, test it, and keep it current as our systems evolve.
Quality Metrics and Reporting
Start with escaped defects—the bugs a partner or client finds before we do. We do not currently track them.
From there, establish additional metrics including time to fix, measured from when a bug is reported until the fix is live, and hotfix frequency. Without those numbers, decisions about how quickly to ship versus how much to harden are largely a guess.
You will build the quality dashboard and own ongoing reporting.
Security Testing Before Release
Establish checks for common attack patterns as part of the release process, complementing the code scanning and annual penetration testing already in place.
A Seat in the Sprint
Work directly within the two-week sprint cycle alongside our engineers, participating from planning through demo.
What Your First Year Could Look Like
First 90 Days
Observe several release cycles and document where testing happens today across each platform and who performs it. Take ownership of the AI testing agents and begin logging escaped defects to establish a baseline.
Deliver the first automated regression suite for one high-traffic area of SPARK, AGL, or Strongpay.
By Month 6
Establish automated coverage across the core release paths of SPARK and AGL, with a coverage baseline for Strongpay beginning with payroll-critical paths.
The AI testing agents operate according to a written plan defining what they cover and what requires human review. A documented rollback plan has been used or rehearsed at least once. Baseline load-test results exist for SPARK and AGL.
A first version of the quality dashboard is live, reporting escaped defects and time to fix by platform.
By Month 12
A single dashboard reports key quality metrics across all four platforms, including escaped defects, time to fix, hotfix rate, automated coverage, and load-test results. Metrics are trended release over release and reviewed each sprint.
Strongpay and Nexus Bridge are tested to the same standard as SPARK and AGL, including load testing, and security testing is a standard step in every release.
Our Technology Stack
SPARK and AGL
- TypeScript throughout
- AGL uses Next.js and React
- SQL Server
- Hosted on Amazon Web Services (AWS) and Vercel
- Deployed with GitHub Actions
- Unit and integration testing with Jest and Vitest
Strongpay
- Mature .NET Framework application
- ASP.NET MVC
- SQL Server
- .NET MAUI mobile application for iOS and Android
- Public API
- Extensive payroll, banking, and benefits integrations
- Hosted on AWS
- Deployed with Azure DevOps
AI in Our Products
SPARK and AGL include AI-powered features such as document extraction and an AI assistant. As a result, some testing involves outputs that do not have a single “correct” answer and require evaluating quality and accuracy rather than exact matches.
Qualifications
Required
- 5+ years of experience in software QA, including at least 2 years building or owning an automated test suite from the ground up
- Experience writing test automation in code for both browser and API testing using Playwright, Cypress, or similar tools
- Hands-on experience with continuous integration and deployment (CI/CD) pipelines such as GitHub Actions or Azure DevOps, with the ability to integrate testing into an existing deployment pipeline
- Proficiency in SQL sufficient to verify the underlying data behind a test
- Load and performance testing experience using JMeter, k6, Gatling, or similar tools, including experience designing a load-test plan without an existing template
- Experience writing or owning a rollback or incident runbook and the ability to discuss how it was used in practice
- Experience working alongside engineers as a peer within a two-week sprint cycle
- Working knowledge of security testing, including common injection and authentication vulnerabilities and the OWASP Top 10
- Current experience using AI tools as part of testing work, with a clear understanding of where they add value and where human judgment is still required
Strongly Preferred
- Experience writing test code in TypeScript or JavaScript, the languages most of our automation will use
- Experience with .NET and C#, or experience building test coverage for a mature application with limited existing coverage
- Mobile application testing experience across iOS and Android
- Experience testing AI-powered features where outputs vary and testing focuses on accuracy or quality rather than exact matches
- Working knowledge of AWS, including the ability to read logs and set up a test environment
- Background in payroll, retirement plans, financial services, or another environment involving regulated or sensitive data
- Experience in a product organization that ships every one to two weeks or where multiple products share infrastructure
- Experience establishing quality reporting for leadership, including metrics such as escaped defects, time to fix, and hotfix rate
Our Value-Driven Employee Experience:
- Flexible Workplace – Hybrid and remote options available for many roles.
- Flexible PTO – Competitive paid time off, including flexible & unlimited options.
- Inclusive Environment – A culture that values diversity, collaboration, and respect.
- Growth Opportunities – Support for ongoing learning and career development.
- Comprehensive Benefits – Health, dental, vision, life, and disability coverage.
- Workplace Perks – Incentive bonus programs, flexible hours, & more.
**Specific benefits and programs may vary by partner and position.