Job Opportunity: Director of Threat Intelligence Engineering at Salesforce
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Job Category
Software Engineering
Job Details
About Salesforce
We are Salesforce, the Customer Company, leading the future of business with AI + Data + CRM. Guided by our core values, we empower businesses across all industries to innovate and connect with customers in new ways. We also encourage you to be a Trailblazer, driving your performance and career growth while making a positive impact on the world. If you believe that business can be a platform for change, you’ve found the right place.
Salesforce is seeking an experienced Director of Threat Intelligence Engineering to design and manage our advanced threat intelligence platform and ecosystem. This senior role encompasses API management, extensive AWS service management, the Vertex Synapse threat intelligence platform, and Generative AI technologies to deliver top-tier security solutions globally.
Key Responsibilities
- Squad Leadership: Cultivate a team culture focused on continuous learning and innovation, encouraging exploration of new technologies and methodologies.
- Leadership Experience: Proven ability to lead technology environments, mentor teams, and deploy critical threat intelligence systems.
- Cloud Infrastructure/Deployment: Utilize AWS technologies to create a scalable, secure cloud infrastructure optimized for real-time threat analytics and data processing.
- AWS Serverless Architecture: Design, develop, and manage serverless applications for threat intelligence, ensuring high-volume, low-latency transactions, and stringent security standards.
- API Management: Oversee API lifecycle management, ensuring their design, implementation, security, and optimization for seamless integration of distributed services.
- Data Pipelines: Engineer sophisticated data ingestion and transformation pipelines for dynamic threat detection and intelligence analysis.
- Deployment and Delivery: Streamline integration and delivery of serverless architecture for durable, repeatable, and reliable deployments.
- AI Integration: Implement and manage Generative AI technologies to enhance predictive analytics, analysis, and automated threat responses.
Required/Minimum Qualifications
- Programming Expertise: 5+ years of experience in programming, with a preference for object-oriented languages like Python.
- AWS Proficiency: 5+ years of experience in designing, managing, securing, and optimizing AWS cloud solutions, including advanced network setups and automated scaling.
- AWS Serverless Architecture: 5-10 years of experience in designing and managing AWS serverless applications with a deep understanding of RESTful services.
- Security Practices: Comprehensive understanding of modern security practices including advanced encryption protocols, API security mechanisms, and secure authentication methods.
Additional Qualifications
- Vertex Synapse Knowledge: Experience in managing and deploying the Vertex Synapse or similar platforms for handling large-scale datasets and real-time analytics.
- AI and Machine Learning: Experience with deploying AI and machine learning workloads, integrating these technologies into data analytics pipelines.
Accommodations
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Posting Statement
At Salesforce, we believe that the business of business is to improve the state of our world. We are committed to driving equality in our communities and workplaces through inclusive programs and initiatives such as equal pay, employee resource groups, and inclusive benefits. and explore our .
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company without a signed agreement.