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Arctic Wolf Networks
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Senior Quality Engineer - AI Proactive Defense

Senior Quality Engineer - AI Proactive Defense

Arctic Wolf Networks

5 - 10 years

10 - 14 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

career development automation backend analytical information security soc debugging monitoring testing python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

Design and implement end-to-end quality strategies for agentic AI systems, balancing manual exploratory testing with automation frameworks .
Develop and maintain validation frameworks for multi-agent orchestration logic ensuring correctness in planning, decision-making, and adaptive behaviours.
Develop and run manual and automated test pipelines to validate end-to-end functionality, data flow, and system reliability across AI services.
Perform exploratory testing of AI reasoning, tool usage, and agent collaboration workflows to uncover edge cases and emergent behaviours.
Automate test coverage for APIs, microservices, and orchestration components using modern testing tools and frameworks.
Create observability and monitoring solutions to assess agent accuracy, latency, and behavioural consistency.
Collaborate with AI and backend developers to embed quality gates and automated checks into CI/CD pipelines.
Evaluate and integrate testing tools for AI-specific workflows (prompt validation, response benchmarking, output scoring).
Champion best practices for reproducibility, versioning, and manual/automated validation of AI model behaviours.
Contribute to cross-team initiatives R&D demos, hackathons, and innovation sprints.

About You

5+ years of experience in Quality Engineering, SDET, or Software Testing (manual and automated) in distributed or AI-driven systems.
Strong experience designing and executing both manual exploratory tests and automated test frameworks .
Proficient in Python , Java , or Go for developing test automation scripts and frameworks.
Have worked on distributed systems and microservices architecture (preferred)
Hands-on experience with API testing , microservices validation , and CI/CD integration (GitHub Actions, Jenkins, etc.).
Experience with AI technologies and frameworks that enable intelligent agents, automation, and contextual reasoning.
Familiarity with cloud-native testing (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
Experience with observability tools (Grafana, Prometheus) to validate performance and system health.
Strong analytical, debugging, and communication skills; able to translate complex AI behaviours into clear, testable criteria.
Passionate about ensuring quality and trustworthiness in intelligent, autonomous systems.

You have a history of delivering successful projects, as well as some lessons learned from failures. Even if you haven t worked with all our specific technologies, you bring a diverse knowledge base that you use to help the team solve complex technical problems. You ll receive all the security training you need during our onboarding process and through additional training on the job.

Nice to Have

Exposure to cybersecurity , SOC operations , or threat detection systems .
Experience validating machine learning models , data pipelines , or AI evaluation metrics .
Knowledge of ML Ops tools (MLflow, Kubeflow) and AI-specific test harnesses .
Contributions to open-source testing, QA, or AI projects .

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Senior Quality Engineer - AI Proactive Defense