Senior Site Reliability Engineer, Vulcan (AI Security product)

• Plan and execute on-prem Kubernetes cluster deployments, upgrades and infrastructure migrations (including IP re-addressing, certificate rotation and cluster reconfiguration) in production and airgapped environments
• Diagnose and resolve failures independently on-site
• Own the full infrastructure stack end-to-end: Kubernetes control plane and data plane, PostgreSQL (primary/replica replication), distributed storage (e.g. SeaweedFS/Ceph/similar), private container registries and centralized logging (ELK or equivalent)
• Validate deployment tooling (scripts, installers, automation) thoroughly in lab/staging environments before any client-facing execution
• Represent the technical work directly to client stakeholders on-site: explain status, failures and remediation plans clearly
• Travel to client data centers (including airgapped/restricted-access sites) as required, sometimes on short notice, for deployment and go-live support
• Write clear, structured runbooks, decision trees and incident reports that others (including less experienced engineers) can follow under pressure
• Escalate risks proactively to internal leadership, not just after something has gone wrong

• Prior consulting, systems integration or professional services experience, ideally on enterprise or government accounts
• Experience specifically in the GCC/Middle East region, or with government-sector clients
• Security background (the ability to reason about access controls, credential handling and airgapped operational discipline is valuable given the environments involved)

• Vulcan product: https://vulcanlab.ai/
• Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/
• AIFT group: https://aift.io/

• 5-6 years of hands-on experience with Kubernetes in production, including at least one on-premise (not purely cloud-managed) deployment
• Solid understanding of etcd internals. Quorum, peer membership, failure recovery, not just kubectl-level familiarity
• Experience with kubeadm-based cluster bootstrapping and certificate management (SANs, CA rotation, renewal)
• Working knowledge of PostgreSQL replication, Linux networking fundamentals (DNS, NTP, firewalls) and container registries (Docker Distribution or similar)
• Comfortable working entirely from the Linux command line, writing and debugging bash scripts and reading unfamiliar automation tooling under time pressure
• Experience with at least one distributed storage system (SeaweedFS, Ceph, MinIO or similar) is a strong plus
• GPU-enabled Kubernetes nodes (NVIDIA device plugin, container toolkit) experience is a plus, not required

• Demonstrated ability to work independently in high-pressure, high-stakes environments without live support
• Strong incident communication. Can explain technical failures to non-technical stakeholders factually and calmly, without over-promising or minimizing
• A track record of validating changes in test environments before touching production and the judgment to insist on this even under deadline pressure
• Comfortable with travel, including to secure/restricted facilities where personal devices, internet access or remote assistance may not be available

• HR phone interview: 1 hour
• Online interview: 1.5 - 2 hours, meet with hiring manager
• Online interview: 1 hour, meet with hiring team

Why Join Us?

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects.
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture.
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other.
• Compensation: Competitive salary and benefits package, commensurate with experience and performance.