Description
About the company
The company is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. The company enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.
About the Role
We're hiring a Senior Security Engineer to join the company's Red Team, part of the global CISO organisation. Working closely with the Red Team Lead and your teammates, you'll deliver offensive security campaigns across cloud, infrastructure, enterprise environments, identity systems, endpoints, and applications.
A core part of this role is using AI to change how red teaming gets done. You'll work with frontier and cyber-gated models from providers such as Anthropic and OpenAI, agentic tools such as Claude Code, ChatGPT, and OpenCode, and open-weight models. You'll build workflows that accelerate reconnaissance, vulnerability discovery, exploit development, attack-path analysis, and reporting, choosing models to balance quality, cost, and speed.
This is a hands-on, execution-focused role. You'll contribute to several campaigns in parallel, own your workstreams end to end, and partner with Detection & Response and Security Engineering to turn findings into measurable improvements.
What you'll be doing
Red team campaigns
Plan and execute red team campaigns and adversary simulations with the Red Team Lead and your teammates.
Own scope, timelines, evidence, and reporting for your workstreams across multiple campaigns.
Emulate real-world attacker behaviour, including initial access, lateral movement, privilege escalation, and persistence, to identify weaknesses across infrastructure, identity systems, endpoints, and applications.
AI-enabled red teaming
Build agentic workflows that orchestrate multiple models and tools to accelerate offensive security work.
Evaluate new models and tooling, including open-weight models where hosted models aren't the right fit, and integrate those that improve team throughput.
Build guardrails, logging, and human review steps to keep model-driven activity within scope and rules of engagement.
Offensive testing and tooling
Perform penetration testing across applications, APIs, identity systems, and internal services.
Develop and maintain offensive tools, scripts, and supporting infrastructure, increasingly model-driven.
Apply modern offensive tools and frameworks, and share tooling, techniques, and playbooks so improvements benefit the whole team.
Detection validation and security improvement
Identify gaps in preventive controls, detection coverage, and response capabilities.
Partner with Detection & Response to validate and improve detection logic and alerting, including through purple team exercises.
Collaborate with Security Engineering to remediate vulnerabilities and strengthen system design.
Document risk, impact, and remediation clearly, and communicate attack paths in a way that supports prioritisation and action.
Peer-review findings and reports, pair on complex attack paths, and contribute evidence-based recommendations to the team's roadmap.
KPIs
On-time delivery of red team campaigns, including parallel campaigns
Detection and alerting gaps identified and validated
Vulnerabilities remediated in partnership with Security Engineering
Team adoption of agentic workflows and automations, and time saved on red team tasks