Enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up to develop the DataHub platform, an enterprise data hub and identity middleware engine.
Lead technical discovery and solution presentations for SonicWall cybersecurity portfolio, building trusted partner relationships and driving pre‑sales activities.
Responsibilities
Lead technical discovery conversations to qualify customer requirements
Conduct technical sales presentations and product demonstrations
Provide hands-on data analytics expertise and technical leadership in support of continuous control monitoring, identifying and evaluating data sources, performing data analysis, and assessing data suitability for control metrics.
Responsibilities
Collaborate with data subject matter experts (SMEs), control owners, and other team members to understand and document data requirements.
Independently investigate ambiguous data and metric requirements, challenge assumptions, and recommend fit-for-purpose analytical approaches with limited direction.
Identify and evaluate potential data sources.
Evaluate and document data in terms of volume, velocity, variety, veracity, and value.
Write scripts to extract, transform, and analyse data from various sources.
Lead data analytics and metric-development workstreams for technology and risk controls within Morgan Stanley's Technology Organization.
Responsibilities
Collaborate with data subject matter experts, control owners, and other team members to understand and document data requirements.
Independently investigate ambiguous data and metric requirements, challenge assumptions, and recommend fit-for-purpose analytical approaches with limited direction.
Identify and evaluate potential data sources.
Evaluate and document data in terms of volume, velocity, variety, veracity, and value.
Write scripts to extract, transform, and analyse data from various sources.
Senior Professional Services Consultant - AI Security to join the team, building long-term, trusted advisor relationships with enterprise Public Sector customers, serving as the primary technical authority and end-to-end delivery owner for tailored AI security solutions.
Compensation
Base Pay Range
$143,500—$205,000 USD
Responsibilities
Build long-term, trusted advisor relationships with customers deploying Zscaler AI Guard across both Proxy Mode and Developer/DAS Mode, AI Protect for AI asset management and visibility, and SPLX automated probing across AWS, Azure, and GCP and Kubernetes environments
Execute automated AI red-teaming and lab replication by designing cloud networking and firewall connectivity for SPLX workers to reach internal AI applications, configuring target endpoints and probes for vulnerability reporting, and replicating complex customer environments for validation
Collaborate with stakeholders to envision and implement future-proof, transformative processes
Advocate customer needs with cross-functional teams to influence product development
Produce documentation, best practices, and demos to enable organizational growth
Requirements
Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related field
Provide technical support, implementation assistance, testing and performance benchmarking, infrastructure and architecture consulting, and training to clients and internal teams.
Responsibilities
Support the deployment of client solutions on production infrastructures, both on-premises and in the cloud, tailored to their business needs.
Provide day-to-day technical support to ensure Murex clients achieve high levels of technical satisfaction.
Develop and execute performance testing to ensure optimal application performance.
Use standard monitoring and performance analysis tools to identify bottlenecks, proposing and implementing solutions in collaboration with product development teams when required.
Deliver technical and architecture training to Murex clients to strengthen their support capabilities.
Responsible for ensuring the safety of technology platforms including workstations, server systems, networks, applications, databases, electronic information, and protecting systems from security violations, access, or destruction.
Compensation
Salary Range: $100,999 - $134,665
Responsibilities
Oversees planning and scheduling of operational and project activities to ensure timely delivery
Develops and implements use cases into existing and future security technologies to enhance SOC detection capabilities
Designs, implements, and maintains automated security processes for continuous monitoring, threat detection, and incident response
Supports development of SOC Engineering staff into subject matter experts
Identifies information gaps that may expose potential short- and long-term threats and recommends enhancements to management or senior IT staff
Requirements
High School diploma, GED, or equivalent
Bachelor’s degree in Engineering, Information Technology, Computer Science, Cybersecurity, or another related field is encouraged to apply
Nice to have: CompTIA Security+
Nice to have: Certified Information Systems Security Professional (CISSP)
At SIXT, AI is changing how work gets done and we are looking for the person who will help us do it safely. As an AI Security Engineer, you will shape how SIXT understands, assesses, and secures AI usage across the organisation, exploring where AI touches our data and systems, defining what safe usage looks like, and building the detections and controls that keep AI behaviour secure.
Responsibilities
Assess AI tooling and AI-built applications across SIXT, identify and derive associated security risks, and present clear, actionable findings to relevant stakeholders
Author remediation policies that keep AI usage inside agreed boundaries, automating enforcement so it does not depend on manual review
Partner with teams and business units building their own AI-powered tools, steering them toward more secure approaches and making risk-based decisions on what AI usage is acceptable
Define the baseline of healthy, productive AI usage that SIXT should actively encourage, and track progress through clear KPIs that show how risk is being reduced over time
Respond to AI-related security incidents, containing issues quickly and decisively, and work continuously with security and engineering teams to improve and automate AI governance controls
Requirements
Bachelor's or Master's degree in Computer Science or a related discipline
The pay range for this position at commencement of employment is expected to be between CAD $151,000 and CAD $227,000 per year.
Responsibilities
Design and construct enterprise-grade connectors for varied data sources
Implement robust access control policies to eliminate unauthorized data exposure during search queries
Create and refine CPU-optimized and GPU based text classification rules and metadata tagging to detect and safeguard sensitive information (PII, PHI, financial records, credentials) using Regular Expressions (Regex) and Named Entity Recognition (NER)
Develop and write clean unit and integration tests for document extraction, classification, and ingestion pipelines
Partner with senior engineering staff to design, test, and enhance enterprise search and retrieval pipelines
Requirements
Bachelor's degree in Computer Science or a related Engineering field
Master's degree in Computer Science or a related Engineering field
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