Senior Security Engineer

Responsibilities

We are representing a confidential analytics SaaS organization seeking a Senior Security Engineer based in London. In this role, you will:

• Domain Ownership: Serve as the domain expert for Detection & Response, integrating telemetry from across the entire ecosystem—including Product, Cloud, Corporate Infrastructure, and Identity—to build a unified, high-fidelity detection and response engine.
• Technical Project Execution: Translate high-level project requirements and technical scoping documents into actionable milestones, managing task delivery and driving cross-functional results.
• Architect Modern Detection: Design and implement precise, actionable alerting within SIEM/SOAR platforms, treating detections as code and ensuring they scale with high-volume data ingestion.
• Combat Modern Threats: Develop specialized detection logic and playbooks to identify and mitigate application-layer abuses, customer account-targeted events (ATO), and sophisticated social engineering.
• Operational Lead (EMEA): Serve as the primary technical lead for security incidents during EMEA hours, driving investigations, containment efforts, and cross-functional communication.
• Build Threat Intelligence: Evolve the threat intelligence program by identifying relevant adversaries and translating tactical intel into proactive SIEM/SOAR logic.
• Infrastructure Management: Ensure the operational health and telemetry flow of core security stack components to maintain continuous visibility and alerting integrity.

What We're Looking For

Our client needs someone who brings:

• Security Engineering Foundations: Experience operating across the core pillars of a modern security program—including Product, Cloud, and Corporate Security. You are comfortable navigating Identity (IAM), threat modeling, and secure code reviews as part of a unified team.
• Detection & Response Specialization: A deep understanding of the detection-as-code lifecycle. You have experience turning raw telemetry into precise, actionable alerting and building the infrastructure required to defend a high-scale SaaS environment.
• Operational Execution: The ability to manage a high volume of daily security tasks. You are prepared to handle a diverse range of responsibilities—from triaging vulnerabilities and policy violations to investigating suspicious activity across the entire stack.
• Cloud Data Proficiency: Proficiency with Google Cloud Platform ecosystem (specifically Cloud Logging, BigQuery, and Pub/Sub) to build automated security data pipelines and maintain visibility across high-volume environments.
• Modern Automation & AI: Proficiency in Python to develop automated workflows and integrate security tools via APIs. You are comfortable leveraging AI and LLMs to build autonomous security workflows—such as automated alert enrichment, intelligent incident summarization, and AI-assisted code analysis—to drastically reduce time-to-context.

Bonus qualifications include:

• Threat Intelligence Maturity: Experience evaluating and embedding external intelligence—including dark web monitoring, brand protection, and adversary tactics—into a security program.
• Security Outreach & Mentorship: Experience leading "Security Champions" initiatives or a demonstrated ability to elevate the security IQ of non-security teams.
• Deception & Canary Strategies: Familiarity with deploying deception techniques (e.g., honeytokens, canary credentials, or "fake" internal endpoints) to provide high-fidelity signals of unauthorized lateral movement or credential misuse.
• Platform & Infrastructure Experience: Prior experience with enterprise-grade security tools such as Endpoint Detection & Response (EDR), Email Security gateways, and Cloud-native Security Command Centers.
• SaaS & Analytics Scale: Experience defending an environment with massive, high-volume data ingestion and complex user-access patterns.
• Offensive Security Exposure: Experience with vulnerability coordination platforms, automated external scanning, or managing findings from bug bounty programs.

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. Please note that you should not contact the client directly—all communication and coordination will be managed through Get A Job.ai to ensure a smooth, professional process for everyone involved.

Pay

Pay via Get A Job.ai: £103,000—£139,500 GBP

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We welcome applicants from all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.