We are seeking a highly skilled and experienced Security Engineer to join our team, focusing on offensive security, exploitation, and automation. The ideal candidate will possess expertise in advanced Red Teaming methodologies, deep knowledge of web application and API penetration testing, and proficiency in scripting, security automation, and vulnerability exploitation techniques. You will be responsible for validating real-world risk and providing expert technical advisory to clients.
Compensation
You’ll be rewarded a competitive salary as well as a full spectrum of generous perks and incentives which include:
Responsibilities
Review threat intelligence findings for assigned accounts
Identify high-priority incidents that need customer attention
Explain the business impact of threats
Share critical incident updates with CISOs and security teams
Follow up on important incidents until there is action or closure
Provide pre‑sales technical expertise and support to the sales team, evangelize Torq’s AI‑native autonomous SecOps platform, and drive operational excellence across the sales cycle.
Responsibilities
Provide outstanding and effective pre‑sales technical expertise and sales engineering processes
Lead the Solution Engineering team in following sales methodology and best practices, as well as ensuring proper use of CRM system
Partner with sales leadership and product groups to drive operational excellence and efficiency and meet quarterly and annual sales targets
Ensure accuracy and accountability with internal systems and tools
Provide technical guidance and support to the sales team, ensuring that they have the knowledge and tools needed to be successful
As a member of the Content Safety team, you will join our Personalized Ads and Healthcare initiatives. You will work globally and cross-functionally with Google engineers, product managers and policy teams to identify and fight abuse and fraud cases at Google scale and speed.
Collaborate with cross-functional groups such as Product Management, Engineering, Sales, Policy, Public Relations, and Legal to drive projects that increase users' safety and provide a better online experience through Google Ads.
Execute complex queries and analyses, build visual models, and construct presentations on abuse trends to aid in fraud prevention and influence change in existing abuse detection systems without compromising advertiser experience.
Conduct investigations to catch fraudsters, enforce our product policies, learn scam patterns/ trends and identify product vulnerabilities.
Identify automation and efficiency opportunities, drive solutions through analysis or cross-functional partnerships, and provide periodic on-call coverage for stakeholder escalations.
Review sensitive content or situations and may be exposed to graphic, controversial or upsetting topics or content.
Requirements
Bachelor's degree
Nice to have: Master's degree
Nice to have: PhD
Skills
Privacy and Security Technical Assurance Lead, RCI
Lead AI security assurance testing programs, manage complex technical assurance initiatives, collaborate across engineering, legal, and product teams to ensure compliance and secure AI/ML deployments.
Provide oversight and issues as a critical second line of defense function, establishing and maintaining technical assurance testing frameworks for AI/ML and traditional security ecosystems.
Lead AI security by effectively communicating testing results, control deficiencies, and mitigation strategies to technical leadership, legal counsel, and executive stakeholders.
Translate testing insights into actionable engineering recommendations and partner with first-line research and product teams to continuously optimize privacy and security strategies for Generative AI and traditional ML models.
Collaborate with the Legal department to evaluate the compliance implications of identified AI privacy and security risks, ensuring all assurance efforts align with internal policies and evolving global AI regulations.
Design, implement, and scale security assurance frameworks, leveraging scripting and custom tooling to programmatically validate that AI safeguards and guardrails perform as intended.
Requirements
Bachelor's degree in Computer Science, Cybersecurity, Engineering, or equivalent practical experience
Lead the assessment and investigation of complex insider risk events within AstraZeneca’s Global Cyber Defence function, providing quality assurance, peer review and guidance across Insider Risk Management casework.
Compensation
Competitive salary and benefits package on offer! The successful candidate will have access to a flexible employee benefits fund, including holiday purchase and flexible time off, pension contributions, Share Save Plans, A performance recognition scheme and a competitive, generous remuneration package.
Responsibilities
Lead complex insider risk investigations
Assess alerts and concerns
Develop investigation scopes and hypotheses
Retrieve, preserve, organise and analyse security evidence
Coordinate with cross-functional teams
Requirements
Relevant education, professional training or equivalent practical experience
Develop scalable automation, monitoring and analytics solutions that improve operational efficiency, service quality and network reliability within the Unified Communications operations environment.
Responsibilities
Design, develop, test and maintain scalable automation and monitoring solutions for Unified Communications and network operations.
Build automation and observability frameworks using data analytics, Grafana, Prometheus, Kibana/ELK, microservices, APIs, GitHub and scripting technologies.
Configure and customise services such as Grafana, Prometheus, ELK and Jaeger to enable enhanced metrics, analytics, alerting, logging and distributed tracing.
Collaborate with network specialists to identify opportunities for operational automation, monitoring enhancements and service optimisation, including the use of UiPath RPA, Python or PHP scripting where appropriate.
Apply Continuous Integration and Continuous Deployment (CI/CD) principles and Agile delivery practices throughout solution development.
Design, develop and maintain data solutions for data generation, collection, and processing, including creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.
Responsibilities
Design and develop data pipelines
Ensure data quality and integrity
Implement ETL processes
Collaborate with cross-functional teams to gather and analyze data requirements
Opportunity to develop automation and observability solutions that directly contribute to the efficiency and reliability of Unified Communications and network operations.
Hands-on exposure to modern DevOps, cloud, containerisation, monitoring, data analytics and automation technologies.
Collaboration with network specialists and technical teams while solving operational challenges in a large-scale telecoms environment.
Opportunity to contribute to automation initiatives from identifying the requirement through development, testing, deployment, troubleshooting and optimisation.
Continued technical development through evolving collaboration technologies and operational tooling.
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