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 Responsibilities
Develop new features and capabilities for our company's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelines
Develop 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 features
Contribute to our native inspection agent that runs close to customer traffic
Contribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection models
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support 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 environment
B.Sc/M.Sc in Computer Science
Understanding 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 languages
Hands-on experience with containerized environments using Docker and Kubernetes, including deployment, configuration, troubleshooting, and production workloads
Experience working with cloud platforms, preferably AWS
Experience working with databases, preferably NoSQL databases such as MongoDB
Understanding of production systems, including scalability, availability, monitoring, logging, and incident investigation
Experience using AI-powered development tools and integrating AI capabilities into daily development workflows
Nice to have
Experience with caching technologies such as Redis
Experience with messaging and streaming technologies such as Kafka
Experience with frontend development using React, TypeScript, HTML, and CSS
Experience with observability and search platforms such as the Elastic/OpenSearch Stack and Grafana
Familiarity with GraphQL API design and development
Experience with vector data bases.
This position is open to all candidates.