Software Developer - Gen AI Security Team REF59T

We are looking for a strong team player with a high sense of ownership, a "get-things-done" mindset, and the willingness to contribute across all areas of development - from UI and backend to data and detection pipelines.Major ResponsibilitiesDevelop new features and capabilities for our company's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelinesDevelop SaaS product capabilities such as prompt-injection and jailbreak detection, content moderation, PII and data-leakage prevention, policy and practice management, and other customer-facing platform featuresContribute to our native inspection agent that runs close to customer trafficContribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection modelsWork with cloud services, CI/CD pipelines, monitoring, logging, and automation toolsTake end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operationBuild and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisionsCollaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholdersSupport production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.Requirements: 4 years of experience as a software developer in a cloud-oriented environmentB.Sc/M.Sc in Computer ScienceUnderstanding of LLM/GenAI security concepts (prompt injection, jailbreaks, content moderation, PII/data leakage)Strong programming skills in Go or/and C , Python, Node.js, or a similar programming languagesHands-on experience with containerized environments using Docker and Kubernetes, including deployment, configuration, troubleshooting, and production workloadsExperience working with cloud platforms, preferably AWSExperience working with databases, preferably NoSQL databases such as MongoDBUnderstanding of production systems, including scalability, availability, monitoring, logging, and incident investigationExperience using AI-powered development tools and integrating AI capabilities into daily development workflowsNice to haveExperience with caching technologies such as RedisExperience with messaging and streaming technologies such as KafkaExperience with frontend development using React, TypeScript, HTML, and CSSExperience with observability and search platforms such as the Elastic/OpenSearch Stack and GrafanaFamiliarity with GraphQL API design and developmentExperience with vector data bases.This position is open to all candidates.