SDET - I

Who we are

Mindtickle is the market-leading revenue productivity platform that combines on-the-job learning and deal execution to get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product. We're honoured to be recognized as a Leader in the first-ever Forrester Wave: Revenue Enablement Platforms, Q3 2024

!What's in it for yo

• u
  Design, build, and maintain scalable automation frameworks to qualify projects pre- and post-release, ensuring consistent product quali
• ty.Develop comprehensive automated test suites (unit, integration, regression, and system-level) and improve CI/CD pipelines for reliable, repeatable releas
• es.Build scalable testing systems, generate test data, and ensure ongoing quality through automated regression and synthetic monitori
• ng.Work on test automation frameworks to qualify AI-driven features from LLM-based applications to agentic AI syste
• ms.Develop and test LLM-powered features, including prompt pipelines, retrieval systems, and AI-assisted workflo
• ws.Build and maintain evaluation frameworks to measure quality, factual accuracy, relevance, bias, and hallucination rat
• es.Conduct robustness, safety, and adversarial testing for AI systems, implementing prompt regression testing, embedding validation, and model reliability/performance tracki
• ng.Improve quality engineering aspects (e.g., testability, shift-left practices) and measure/improve Developer Experience (DevE
• x).Collaborate closely with developers and product managers, participating in design discussions and code reviews to ensure every feature and workflow delivers exceptional reliability and performan

ce.We'd love to hear from you, if

• you:
  2+ years of experience as a Software Engineer or SDET, with a strong foundation in automation sys
• tems.Proficiency in Go, Java, or Py
• thon.Hands-on experience with LLM APIs and pipelines (OpenAI, Anthropic, Hugging F
• ace).Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, GitLab
• CI).Strong skills in API testing, version control (Git), and containerization (Doc
• ker).Familiarity with cloud platforms (AWS, GCP, Azure
• AI).Clear communication and collaboration skills across engineering, ML, and product t
• eams.Experience in prompt engineering, embeddings, RAG, and LLM evaluation metrics is pref

erredPreferred Qualific

ations
- Bachelor's degree in Computer Science, Engineering, or relate

d field- Familiarity with LLMs, GenAI co

ncepts.- Experience with LLM testing tools like MaximAI, OpenAI Evals, TruLens, LangSmith, or Pro

mptfoo.- Experience in evaluating AI systems for bias, fairness, and AI safety pri

nciples- Strong analytical mindset and structured problem-solving ap