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Staff Security Engineer, Threat Intelligence Consulte la descripcin del puesto a continuacin. Si confa en que tiene las habilidades y la experiencia adecuadas, enve su solicitud hoy mismo. AMER About NscaleNscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale 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, youll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, youll be contributing to building the technology that powers the future. About the RoleWere hiring a Staff Security Engineer, Threat Intelligence to build and scale Nscales threat intelligence capability and turn adversary insight into actionable security outcomes. This is a high-impact, engineering-driven role focused on connecting external threat intelligence with internal telemetry so that what Nscale knows about attackers directly improves how the company detects and responds. The role works closely with Detection & Response and supports security efforts across infrastructure, cloud, and enterprise systems . Youll help strengthen Nscales security posture by tracking relevant threat actors, campaigns, and emerging techniques, then translating that intelligence into practical detections, defenses, and response improvements. This role matters because it ensures intelligence is not just collected, but operationalized in the systems and workflows that protect the business. This role will be part of the global CISO organization. What youll be doing Track relevant threat actors, campaigns, and emerging attack techniques tied to Nscales environment Analyze adversary tactics, techniques, and procedures to identify meaningful security implications Produce actionable threat intelligence tailored to infrastructure, cloud, and enterprise systems Evaluate external intelligence sources, feeds, and tooling for relevance and quality Detection Engineering & Coverage Translate intelligence into detection logic, SIEM rules , and security controls Partner with Detection & Response to improve coverage against known adversary behaviors Maintain mappings to frameworks such as MITRE ATT&CK and identify coverage gaps Improve defensive visibility by aligning detections to current and emerging threats Systems Integration & Automation Integrate threat intelligence into SIEM pipelines , enrichment systems, and automation workflows Leverage AI and automation to process large volumes of threat data and surface patterns Support the use of intelligence data within operational security systems and workflowsSupport incident response and threat hunting with contextual intelligence and hypothesis generation Communicate insights, risks, and adversary activity clearly to technical teams and leadership Enable more effective response playbooks by embedding intelligence into response workflows KPIs Threat intelligence integrated into SIEM pipelines and automation workflows Detection coverage against known adversary behaviors Coverage gap tracking through MITRE ATT&CK mappings Actionable intelligence produced for infrastructure, cloud, and enterprise systems About You 8+ years of experience in threat intelligence, security engineering, or detection engineering Strong understanding of threat actors, tactics, techniques, and procedures (TTPs) Experience translating intelligence into detections, rules, or security controls Familiarity with SIEM platforms and detection pipelines Experience with threat intelligence platforms (TIPs) and data formats such as STIX/TAXII Understanding of cloud environments and modern infrastructure Experience leveraging automation or AI/ML techniques for intelligence analysis or enrichment Ability to operate at a Staff level , driving strategy, influencing detection programs, and owning systems Clear communication skills with the ability to share insights and risks with technical teams and leadership Nice to have: experience in AI infrastructure , threat hunting , incident response , SOAR integrations , malware analysis , or advanced threat actor tracking What we can offer youAt Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. Join one of the fastest-growing AI .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.