Senior Security Engineer
New
R
RunwareAI infrastructure
Workable workplace: remote; Workable locations: United States. United KingdomFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years in security or infrastructure engineering
- Required Skills
- PythonGo
Requirements
- Bring 8+ years of security or infrastructure engineering experience.
- Have several years securing production infrastructure at a company operating its own hardware at scale.
- Demonstrate experience building security controls from design through fleet-wide operation.
- Have hands-on Linux security expertise, including kernel hardening, namespaces, cgroups, seccomp, eBPF, secure and measured boot, and TPM-based attestation.
- Have strong Kubernetes security experience, including RBAC, admission control, policy engines, network policy, runtime security, image signing and SBOMs.
- Understand network security on physical hardware, including segmentation, VLAN or VXLAN isolation, firewalls, out-of-band management networks, BMC, IPMI and switch management planes.
- Have experience with identity, secrets and PKI at scale, including short-lived credentials, workload identity and hardware-backed keys.
- Be fluent in Python or Go and able to build tooling, scanners and automation.
- Use AI tools for scripting, log analysis, code review, documentation and incident triage.
- Be able to explain security trade-offs to engineers, customer CISOs and founders, and assess risk pragmatically.
- Be able to travel to sites in the US and Europe as needed.
Responsibilities
- Own fleet security architecture, including host hardening, immutable images, signed builds, boot integrity, and identity, secrets and access controls.
- Design and verify customer workload isolation across network, Kubernetes, host and GPU layers.
- Secure the managed Kubernetes offering through cluster hardening, admission control, RBAC and image supply-chain controls.
- Build fleet logging, detection, alerting and audit trails from firmware to API.
- Lead security reviews and threat models for new pods, sites, servers and platform features.
- Lead infrastructure incident investigation, containment, recovery and post-incident learning as part of the on-call rotation.
- Own vulnerability management for firmware, kernels, drivers, GPU stack and container images across the fleet.
- Provide engineering evidence for enterprise security due diligence and partner on infrastructure SOC 2 and ISO 27001 controls.
- Design sovereign and on-premise security controls for data residency, in-country key management, and physical and remote access.
- Automate evidence collection, log triage, configuration audits and runbooks with LLM-based agents.
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