Software Engineer & Cybersecurity | AI Technology

Software Engineer & Cybersecurity | AI Technology We're looking for a hands-on engineer who combines software development, cloud infrastructure and cybersecurity to help build and secure an advanced AI platform. This is an individual contributor opportunity for someone who enjoys building production systems, automating infrastructure and embedding security throughout the engineering lifecycle. What you'll be doing: • Developing and maintaining production software using Python, Go or similar languages. • Building and operating cloud-native infrastructure across AWS, Azure, GCP or hybrid environments. • Working with Kubernetes, Terraform, CI/CD pipelines and infrastructure automation. • Implementing application, cloud and infrastructure security controls. • Managing IAM, secrets, encryption, network security and vulnerability management. • Securing on-premises infrastructure, including servers and GPU clusters. • Improving observability, monitoring and automated security testing. • Collaborating with AI engineers to deploy and secure AI-powered applications. What we're looking for: • Strong hands-on software engineering experience. • Experience operating cloud-native production systems. • Knowledge of Kubernetes, Infrastructure as Code and modern deployment practices. • Practical experience implementing cybersecurity controls across applications and infrastructure. • Understanding of secure coding, IAM, zero-trust networking and secrets management. • A proactive engineer who can take ownership and work across multiple technical disciplines. Experience with multi-tenant SaaS, AI security, hybrid infrastructure and ISO 27001 or SOC 2 compliance would be advantageous.

Strong hands-on software engineering experience. Experience operating cloud-native production systems. Knowledge of Kubernetes, Infrastructure as Code and modern deployment practices. Practical experience implementing cybersecurity controls across applications and infrastructure. Understanding of secure coding, IAM, zero-trust networking and secrets management. A proactive engineer who can take ownership and work across multiple technical disciplines.

Developing and maintaining production software using Python, Go or similar languages. Building and operating cloud-native infrastructure across AWS, Azure, GCP or hybrid environments. Working with Kubernetes, Terraform, CI/CD pipelines and infrastructure automation. Implementing application, cloud and infrastructure security controls. Managing IAM, secrets, encryption, network security and vulnerability management. Securing on-premises infrastructure, including servers and GPU clusters. Improving observability, monitoring and automated security testing. Collaborating with AI engineers to deploy and secure AI-powered applications.