17 часов назад
Senior SQA Engineer – Data & AI Platforms (AI)
100 100 - 164 450$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior SQA Engineer – Data & AI Platforms (AI) (Python, Databricks, data and AI testing): Designing and implementing advanced test automation across instrument software, data pipelines, cloud analytics platforms, and AI-enabled applications with an accent on data integrity, traceability, interoperability, and regulatory compliance. Focus on validating end-to-end laboratory workflows, AI/ML outputs, distributed systems, and automated CI/CD validation.
Location: San Jose, California, United States; onsite
Salary: $100,100–$164,450 per year
Company
develops tools and instruments that support life sciences research and clinical diagnostics, including software for protein analysis and digital laboratory workflows.
What you will do
- Design and implement automated testing for instrument software, data pipelines, analytics platforms, and AI-enabled applications.
- Validate AI/ML outputs, analytics dashboards, predictions, query-based insights, and AI-ready datasets.
- Build automated validation for ETL/ELT pipelines, data completeness, schema consistency, transformation correctness, and structured data.
- Design end-to-end test strategies spanning instruments, CSV/JSON exports, cloud analytics, ELN, and LIMS systems.
- Integrate test automation and distributed test orchestration into cloud-based CI/CD pipelines.
- Maintain test domain systems and contribute to test architecture, traceability, verification plans, and software requirements reviews.
Requirements
- Bachelor’s degree in Computer Science or equivalent education and experience.
- At least 6 years of test automation experience or relevant experience and training.
- Required programming experience with Python; familiarity with SQL, APIs, React, Flask, and shell scripting.
- Experience with test automation, UI/API testing, data validation, schema testing, CI/CD, and verification plans.
- Knowledge of Databricks, Spark, cloud platforms such as Azure, AWS, or GCP, and data formats including JSON, CSV, and Parquet.
- Must have US employment authorization that does not now or in the future require visa sponsorship.
Nice to have
- Experience with TestComplete, Ranorex, Squish, GitHub, GitLab, Jenkins, or modern cloud pipeline tools.
- Experience with AI-assisted testing, prompt-based validation, and testing AI/ML outputs.
- Experience with ELN platforms such as Benchling or LabArchives, LIMS systems, and scientific instrumentation software.
Culture & Benefits
- Medical, dental, vision, life, disability, pet, legal, and identity protection insurance benefits starting on day one.
- 401(k), employee stock purchase plan, HSA, FSA, and dependent care FSA.
- Mentorship, training and development, tuition reimbursement, and promotional opportunities.
- Paid holidays, accrued paid time off, paid parental leave, and volunteer paid time off.
- Employee resource groups, events, charity drives, and a culture focused on innovation and empowerment.
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