QA Specialist - Senior

• Client Software is hiring contract Solutions QA Specialists to help harden the production experience of our Slingshot platform-a modern data optimization product used by large enterprise data teams.
• This role is not traditional QA. You'll be hunting real-world customer failures that slip through happy-path test coverage, especially those stemming from 3rd-party integration edge cases.
• You'll work directly with product, engineering, and support to identify bugs that impact reliability and customer trust.
• Your focus: explore, test, and document failure modes across API, CLI, and orchestration workflows using modern data stack tools (Snowflake, Databricks, Airflow, Fivetran, Terraform, DBT, Azure Data Factory, AWS, GitHub Actions etc.). This is a manual-first role to Client the problem space-automation may follow as patterns emerge.

• Execute exploratory, production-oriented QA on customer-critical integration paths across tools like DBT, Airflow, Terraform, ADF, and GitHub Actions.
• Recreate and document integration issues surfaced by customers and support.
• Test and validate APIs, CLI, and system behavior under different configurations.
• Partner with Support and Product to prioritize edge case testing aligned with real-world impact.
• Identify and articulate blast radius and system behavior under unexpected or invalid configurations.
• File actionable, reproduction-ready bugs with context for engineering.
• Track coverage across tested tools, connectors, and orchestration flows.
• Contribute to early-stage runbooks and automation plans, once common patterns are identified.
• Serve as an internal "integration hunter" to expose gaps before customers do.

• 3 years' experience in software QA, support engineering, or technical testing roles.
• Familiarity with modern data engineering platforms and orchestrators:
  • Examples: Airflow, Terraform, DBT, Databricks, GitHub Actions, Azure Data Factory.
• Ability to manually set up test environments and reproduce issues across multiple systems.
• Experience with APIs, CLI tools, and validating system integrations.
• Strong written skills for defect reproduction, test case documentation, and QA communication.
• Self-starter mindset - able to explore unfamiliar systems, dig for failure paths, and propose next steps.
• Ability to work independently in a fully remote team.
• Comfortable testing in complex, high-variance customer environments (non-standard configurations).

• Prior experience in Support Engineering, SRE, or Solutions QA roles.
• Familiarity with AWS, Snowflake, Databricks, or enterprise data warehouse environments.
• Scripting or automation skills (e.g. Python, Bash, Postman collections, etc.).
• Exposure to data quality tools or ETL pipeline validation.
• Background in high-scale enterprise B2B SaaS environments.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.