Senior Software Engineer (cloud/security)

Robust Intelligence's mission is to eliminate AI Risk. As the world increasingly adopts AI into automated decision processes, we inherit great risk. 

Our flagship product is built to be integrated with existing AI systems to enumerate and eliminate risks caused by unintentional and intentional (adversarial) failure modes. With Generative AI becoming increasingly popular, new vulnerabilities and attacks present a significant threat to AI companies and their consumers. Our Generative AI Firewall provides a safety net against these failure modes.

At Robust Intelligence, we have built a multidisciplinary team of ML Engineers, AI security experts, and software engineers to advance the state of AI security. Together, we're building the future of secure, trustworthy AI.

About The Role

In this role as a Senior Software Engineer, you will be a key contributor to the development and deployment of applications supporting AI security initiatives. You will work with cloud-native technologies and public cloud platforms to build and maintain robust, scalable, and secure cloud environments. Collaborating with both software and ML teams, you will ensure adherence to standards and best practices on infra, network, and security. Additionally, your expertise will help us to deploy agents to the customer’s cloud environment, with their network and security requirements.

As a Senior Software Engineer (Cloud/Security) you will:

• Design and develop cloud-native applications and services using Kubernetes and other cloud technologies to support applications for AI security
• Build and maintain Kubernetes clusters, including setup, configuration, and optimization.
• Collaborate with cross-functional teams to develop and deploy applications in the cloud environment and customer’s VPCs.
• Identify and address potential security vulnerabilities and risks in the applications in the cloud and customer’s VPCs.
• Monitor and troubleshoot cloud infrastructure, application performance, and network-related issues.
• Develop and maintain software security standards, guidelines, and best practices, and provide guidance and support to development teams.

We are looking for:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• 4+ years of experience in software engineering
• Knowledge on Kubernetes, Docker and cloud-native technologies
• Knowledge of software security principles, techniques, and technologies
• Experience with public cloud platforms, such as AWS, Azure, or Google Cloud Platform.
• Excellent problem-solving and communication skills

Nice to have:

• PhD degree in Computer Science, on network, system, or security.
• Familiarity with infrastructure as code (IaC) tools, such as Terraform.
• Proficiency in vulnerability assessment, penetration testing, and secure coding practices.
• Experience with top enterprise software development and agent deployment in distributed systems.
• Knowledge of model serving tools