Staff SDET, Data Engineering

We are currently seeking a highly skilled Staff / Sr. Staff SDET to lead initiatives at the intersection of AI/ML, cloud security, data engineering, and network security. This role involves testing the product, data efficacy, building CI/CD pipelines, and automating tools and tests to deliver high-quality AI-driven solutions to detect and mitigate cybersecurity threats in cloud environments. You will collaborate with cross-functional teams to deliver secure, efficient, innovative solutions addressing complex security challenges.

What's in it for you

• You will be part of a growing team of renowned industry experts in the exciting space of AI/ML, Data Engineering, and cloud / network security.
• Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products.
• You will solve complex, interesting problems, and improve the depth and breadth of your technical and business skills.

What you will be doing

• Leading the test documentation, automation, and deployment tooling of the microservice-based architecture.
• Developing, executing, and maintaining manual and automated test cases for AI and infrastructure components.
• Designing and implementing test plans for backward compatibility, REST APIs, and integration testing.
• Writing and maintaining test documentation to ensure transparency and repeatability of test processes.
• Automating testing using Python, Java or equivalent programming language to improve efficiency and coverage.
• Troubleshooting, debugging, and optimizing test environments in Kubernetes-based ecosystems.
• Collaborating with cross-functional teams, including data scientists, AI engineers, and DevOps, to ensure software quality.
• Staying up-to-date with the latest advancements in AI testing methodologies and tooling.

Required skills and experience

• 8+ years of experience.
• Strong knowledge of automation and building automation frameworks.
• Excellent knowledge of and coding skills with Python, Java, etc.
• Good knowledge of microservice architecture, distributed systems, and familiarity with k8s and Docker.
• Strong knowledge of building CI/CD pipelines with Jenkins or Github Actions.
• Experience with cloud platforms like AWS, Azure or GCP.
• Experience testing data pipelines for large-scale data processing and testing data efficacy or data correctness.
• Familiarity with RAG systems, vector databases such as Pinecone, PGVector, and LLMs to validate data pipelines and inference results.
• Familiarity with AI models or conceptual knowledge of AI models and prompt engineering.
• Familiarity with relational and non-relational databases, like ClickHouse and BigQuery.
• A proven ability to lead cross-functional teams and mentor more junior engineers.
• Excellent written and verbal communication skills and the ability to present complex technical concepts to stakeholders.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred.