Staff Software Security Engineer

Responsibilities

We are representing a confidential AI organization seeking a Staff Software Security Engineer to join their London office. In this role, you will:

• Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls
• Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity
• Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries
• Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so
• Design secure-by-design development workflows and CI/CD pipelines across our client's services, with expertise in Kubernetes security, container orchestration and identity management
• Threat model and assess risk for complex multi-cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry security requirements from day one
• Mentor engineers and contribute to hiring and growth of the Security team

What We're Looking For

Strong candidates will have:

• 8-15+ years of software engineering experience implementing and maintaining critical systems at scale
• Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++)
• Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code
• Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation
• Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening
• Experience with threat modeling and risk assessment for networked and multi-cloud systems
• Track record of driving engineering excellence through high standards, constructive code reviews and mentorship
• Clear communication skills to translate technical concepts across organizational levels and bring clarity to ambiguous technical problems
• Experience supporting fast-paced startup engineering teams

Additional valuable experience includes:

• Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced
• Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security
• Built network traffic visibility or exfiltration detection systems
• Exposure to large-scale distributed training infrastructure
• Led cross-functional security initiatives and navigated complex organizational dynamics
• Managing infrastructure through automated configuration and policy enforcement
• Hardening containerized applications and enforcing security policies

Location: London with hybrid work arrangement (minimum 25% in office). Visa sponsorship may be available for qualified candidates.

How We Work With You

Our talent team at Get A Job.ai partners with leading organizations to place exceptional engineering candidates. When you apply through our platform:

• A recruiter from Get A Job.ai will review your application and conduct an initial screen
• We will prepare and submit your profile to our client for consideration
• We coordinate the interview process and provide guidance throughout
• Please do not contact the client directly—all communication flows through Get A Job.ai to ensure the best candidate experience

Pay

This role is offered directly by the client organization. Compensation details will be discussed during the interview process.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and are committed to fostering diverse and inclusive workplaces.