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Required DevOps Engineer AI Testing Infrastructure
Job Summary
As a DevOps Engineer at the AI Testing & Workflow Validation team, you will design, test, and maintain the systems and pipelines that support AI-driven workflows. Youll ensure prompt-powered features are deployed, monitored, and validated reliably at scale across multiple environments. This role blends expertise in prompt engineering with deep knowledge of infrastructure automation, CI/CD, and system observability.
We are seeking highly experienced professionals with at least 7 years of hands-on expertise in the areas described.
What you will do:
Develop and maintain CI/CD pipelines for prompt-driven workflows and AI-generated code validation.
Create infrastructure-as-code and automation scripts (e.g., Terraform, Ansible) to provision, configure, and monitor validation environments.
Build tools and frameworks for continuous prompt testing, performance tracking, and failure analysis.
Implement observability and alerting for prompt workflows, capturing metrics such as latency, accuracy, and error rates.
Integrate security and compliance checks into the prompt development lifecycle, especially for generated code execution.
Collaborate with engineering, QA, and platform teams to ensure prompt workflows are seamlessly integrated into existing systems.

We are looking for an experienced Security Architect to lead the design and implementation of secure development practices across our product architecture and engineering workflows. This is a hybrid role combining deep technical security expertise with product-style ownership of internal security initiatives.
As a core member of our Platform and Security group You will also play a key role in ensuring our product is robust and resilient against modern security threats. You will help define security policies, integrate tools such as SCA, SAST, and other security platforms, lead POCs, and work closely with R&D teams to translate security strategy into concrete workflows and automations.
Key Responsibilities
Security Architecture: Define and enforce security policies across the development lifecycle; guide secure integration of security tooling and practices.
Internal Product Ownership: Act as the product manager for internal security automation define architecture, requirements, and priorities for workflows spanning vulnerability ingestion, risk analysis, validation, and patch integration. Collaborate closely with R&D and platform engineers to drive delivery.
Third-Party Dependency Analysis: Map and assess third-party software usage across product components; identify critical dependencies and their security posture.
Toolchain Strategy & POCs: Lead proof-of-concept evaluations for new security technologies; define onboarding criteria, evaluation metrics, and rollout plans.
DevSecOps Enablement: Partner with CI/CD and platform teams to embed security controls into build/test/release flows (Jenkins, GitHub), including validation gates and audit logging.