We are seeking an experienced Software QA Analyst skilled in both automated and manual testing to discover, track, analyze, and record defects through structured testing methods. In this role, you will test deliverables from multiple engineering teams, document results, and communicate issue status through ticketing systems. This position requires expertise in test design, automation frameworks such as Selenium with Python, database fundamentals, and a willingness to learn new technologies.
The ideal candidate is highly proficient in SQL and comfortable navigating relational databases to validate functionality, perform data integrity checks, and investigate reported defects. As a scaling technology organization, this role may involve wearing multiple hats and contributing to the evolution of processes and tooling. We foster a collaborative, learning‑oriented culture and encourage ownership, innovation, and professional growth.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Key Responsibilities:
- Design, execute, automate, and document tests across engineering products, including web applications, CI/CD pipelines, SSMS & Snowflake databases, Azure Kubernetes Services (AKS), and backend services (APIs, background jobs, etc.).
- Build, maintain, and expand automated test suites using Selenium with Python and other modern automation tools.
- Write and optimize SQL queries for validating data, troubleshooting issues, and supporting test case execution.
- Perform root‑cause analysis to evaluate severity, scope, and validity of reported issues from stakeholders.
- Collaborate with engineering teams to define test strategies, acceptance criteria, and regression coverage.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience.
- 5+ years of software QA experience with demonstrated strength in both manual and automated testing.
- Practical experience with Selenium automation using Python (or similar automation frameworks).
- Intermediate proficiency in SQL, including moderately complex queries for data validation.
- Strong analytical and problem‑solving skills, with the ability to work independently in a remote environment.
Preferred Qualifications:
- Experience with healthcare data, HIPAA, and data security best practices.
- Experience working in Agile development environments with tools such as Jira.
- Prior experience in a startup or fast‑growing technology company.
- Familiarity with monitoring/logging tools such as Application Insights or Prometheus.
About SmartLight Analytics:
SmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self‑funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.
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What We Do
SmartLight Analytics was formed by a group of industry insiders driven to make a meaningful impact on the rising cost of employee healthcare. Using our statistical, clinical, fraud detection, coding and claims expertise we deliver the most complete wasteful spend reduction solution directly to self-funded employers. SmartLight utilizes proprietary inferential analytics customized to your employee population, followed by expert clinical review on 100% of your medical claims. Our team partners with your TPA to implement solutions resulting in a lower per employee healthcare spend. We let your data tell us where to look without any preconceived notions about what the errors are beforehand. Our approach is low-touch and involves zero employee involvement. SmartLight consistently delivers a higher ROI compared to other cost reduction solutions on the market.
