Sr Staff Engineer Software

As a Senior Staff Software Engineer, Backend on the AIRS Runtime team, you will play a key role in designing and building the backend systems that power our AI security platform. You will help architect and implement scalable, high-performance services that enable real-time insights, secure AI workloads, and deliver value to customers worldwide.

This role requires strong technical expertise, deep understanding of distributed systems, and a mindset focused on reliability and performance. You'll collaborate with frontend, infrastructure, and product engineers to deliver an industry-defining AI runtime security solution - one that sets the standard for how organizations secure AI systems in production.

Your Impact

• Design, build, and maintain scalable backend services for AI runtime security, ensuring high availability and performance.
• Own new features and components from design through deployment, including architecture, testing, and monitoring.
• Collaborate closely with frontend, infrastructure, and product engineers to design clear APIs and data models that power a seamless user experience.
• Drive architectural decisions that improve performance, scalability, and maintainability across services.
• Apply best practices in distributed systems design, observability, and secure-by-design principles.
• Contribute to CI/CD pipelines and automate workflows for build, testing, and deployment.
• Mentor other engineers, fostering growth and technical excellence within the team.
• Research, evaluate, and introduce new technologies and frameworks that strengthen our platform.

Do you have experience in gRPC?, Do you have a Master's degree?, Your Experience

• BS/MS degree in Computer Science or equivalent.
• 7+ years of professional software engineering experience, with strong focus on backend systems.
• Expertise in at least one strongly typed language such as Go (preferred), Java, C#, C++, and/or modern Python (with type hints, Pydantic, etc).
• Proven experience designing and implementing distributed systems and microservices architectures.
• Strong understanding of cloud environments (GCP preferred; AWS or Azure also valuable).
• Hands-on experience with CI/CD pipelines (GitLab, GitHub Actions) and containerized deployments (Docker, Kubernetes).
• Experience with relational and NoSQL databases, caching systems, and message queues.
• Familiarity with security best practices, authentication, and API design.
• Proficient in writing unit, integration, and end-to-end tests to ensure reliability and quality.
• Strong communication and collaboration skills; able to work cross-functionally in a fast-paced environment.

Nice to have:

• Experience building AI or data-intensive systems.
• Knowledge of event-driven architectures and streaming platforms (Kafka, Pub/Sub).
• Experience with monitoring and observability tools (Prometheus, Grafana, OpenTelemetry).
• Familiarity with gRPC or GraphQL APIs.