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Security Operations

• Manages and is responsible for the successful completion of all tasks in assigned projects.
• Contribute to the Security Operations and Engineering Team focused on maintaining the security integrity of the client's mission critical suite of applications.
• Available 24/7 for any critical security incident response that may arise which requires immediate resolution.
• Work to ensure security tooling within environments is operational and operating at needed levels of service and availability.
• Ensure operational practices provide a sound foundation that utilizes tools and processes for rapid identification of security events to address and mitigate risks.
• Assist in Plan, organize, and execute multiple responsibilities to achieve project goals and provide technical leadership to move operational projects to completion.
• Contribute to security requirements, standards, procedures, and reference architectures to comply with policies and technical standards.
• Develop and maintain incident response playbooks specific to AI/ML security threats including prompt injection, model poisoning, data exfiltration, and adversarial attacks.
• Monitor and secure generative AI systems, large language models (LLMs), and AI-powered applications within environments.
• Contribute to AI governance frameworks and policies ensuring responsible AI practices and compliance with AI-specific security standards.
• Analyze and evaluate security implications of new AI/ML tools and platforms before deployment to production environments.
• Participate in AI threat intelligence activities and stay current with emerging AI security vulnerabilities and attack methodologies.
• Conduct post-incident analysis for AI-related security events and develop preventive measures specific to AI threat vectors.
• Review and validate AI model security properties, including robustness against adversarial inputs and data privacy protections.

Security Operations AI Engineer – Contract

Backend Engineer

• Architectural Migration: Lead the technical strategy, design, and execution of extracting deep business logic from existing Oracle PL/SQL stored procedures and re-architecting them into highly modular .NET 8 microservices.
• Cloud & DevOps Leadership: Design and oversee the deployment architecture within a cloud environment, primarily leveraging AWS EKS (Elastic Kubernetes Service) and AWS Service Mesh (or equivalent cloud native tools).
• Team Technical Leadership: Provide direct mentorship, technical direction, and code/design review guardrails for a team of 5 backend engineers.
• Design & Best Practices: Define microservices patterns, database communication strategies, data validation frameworks, and performance-tuning guidelines for the new ecosystem.
• Cross-Functional Collaboration: Act as the primary technical point of contact during the migration, bridging the gap between legacy database structures and modern cloud-native architectures.

App Dev Architect, .NET – Contract

Manager

• Manage enterprise projects from initial communication to project completion leveraging agile principles.
• Lead cross-functional engagements (cloud, data, analytics, AI, application development, digital experience, strategy) and teams to maintain customer momentum driving project success.
• Serve as the key intermediary between our customers and technical leadership to gather requirements, estimate work, define project milestones, and evaluate risks ensuring clear project scope. Lead standups, scrum ceremonies, and project status meetings championing agile practices.
• Facilitate the swift resolution of customer concerns and act as an escalation point for issues ensuring project progress.
• Develop domain and technical knowledge to understand technical implementations to facilitate conversations that inform project decisions.
• Responsible for project scope, finances, schedule and expectations of all parties, meticulously managing project deliverables.
• Provide regular status updates to stakeholders and executive management, maintain effective communication with leadership to keep them aware of critical issues and action plans throughout the project lifecycle. Own project retrospectives and related reporting, driving continuous improvement in project delivery.
• Maintain an organized project using project management tools (e.g., FinancialForce, JIRA, Asana).
• Build and maintain client relationships through project delivery and proven value
• Confidence in self-organization and a tenacity to deliver results for clients

Senior Delivery Manager

• Design, develop, and maintain scalable cloud-native applications using .NET and Java or Python
• Collaborate with cross-functional teams to define, design, and deliver new features
• Implement and maintain unit tests; follow Test-Driven Development (TDD) practices where applicable
• Participate in Agile ceremonies including sprint planning, reviews, and retrospectives
• Set up and maintain CI/CD pipelines for seamless deployment and integration
• Use Git for version control and actively contribute to code reviews
• Work on Azure or Google Cloud Platform (preferred), or other cloud services such as AWS.

Backend Engineer, .NET – Contract

DevOps Engineer

• Implement, and support Google Workspace small to mid deployments and migrations.
• Assist in the design, implementation, and support Google Workspace Enterprise deployments and migrations.
• Participate in technical discussions with customer executives that drive decisions and implementation
• Manage cloud networking services and connect to client networks
• Execute tasks related to SaaS configuration, development and integrations
• Configure and manage Cloud Platform services and APIs
• Develop custom scripts as necessary using Powershell, Python or Appscript
• Train our clients’ end users and their technical personnel as required per project scope
• Write technical documentation for deployed solutions that includes end-user guides and process manuals
• Write, Contribute, Publish content to our LMS for Google Workspace content
• Ability to travel to client sites as needed and requested

Google Workspace Deployment Engineer

Security Engineer

• Design and implement comprehensive AI security architecture, including governance frameworks, data protection controls, model security standards, and usage policies for enterprise AI systems
• Collaborate with the AI business deployment team to establish security requirements and controls for AI applications, ensuring alignment between business objectives and security standards
• Develop and enforce AI usage policies and security guardrails for employees, including guidelines for acceptable use of generative AI tools, prompt engineering security, and data sharing restrictions
• Establish security standards and best practices for AI/ML development teams, covering model training security, data pipeline protection, API security, and secure model deployment
• Conduct AI-specific threat modeling and risk assessments, identifying vulnerabilities such as prompt injection, data poisoning, model theft, adversarial attacks, and privacy leakage
• Define data classification and handling requirements for AI systems, ensuring sensitive customer information and personally identifiable information are appropriately protected in training datasets and model outputs
• Evaluate and recommend AI security tools and technologies, including data loss prevention for AI interactions, AI gateway solutions, model monitoring platforms, and security testing frameworks
• Partner with compliance and legal teams to ensure AI implementations meet regulatory requirements including insurance industry regulations, data privacy laws, and emerging AI-specific legislation
• Create security awareness training programs focused on AI risks, responsible AI usage, and secure development practices for different user personas across the organization
• Develop incident response procedures specific to AI security events, including model compromise, data leakage, and unauthorized AI tool usage
• Monitor the evolving AI security landscape and provide strategic guidance on emerging threats, vulnerabilities, and security best practices
• Establish metrics and reporting frameworks to measure AI security posture and communicate risk to executive leadership

AI Security Architect – Contract

• Provide direct day-to-day management to an initial team of 5 security analysts.
• Oversee and continuously optimize end-to-end incident response workflows.
• Leverage specialized expertise to hunt for, detect, and neutralize sophisticated cyber threats across the enterprise environment.
• Monitor and maintain central network security defenses, including firewall management, configuration tracking, and rule optimization.

Incident Response Manager

Data Engineer

• Facilitate, guide, and influence the client and teams towards an effective architectural pattern and becoming an interface between business leadership, technology leadership and the delivery teams.
• Designing of solution architecture on Google Cloud
• Implementation of Proof of Concept (POC) and Minimal Viable Product (MVP) workloads.
• Design a data platform that accounts for the implementation of:
• Database objects
• Data
• Data Pipelines
• Orchestration
• Users and Security
• Migration of workloads
• Perform migration activities including:
• Translation of DDL, Stored Procedures, and Queries into BigQuery and Cloud SQL supported (Postgres and MySQL) syntax
• Executing data transfers using native Google Cloud and 3rd party tools
• Setup and configuration of relative Google Cloud components through Infrastructure as Code (IaC)
• Engage with customer teams as a Google Cloud expert to provide:
• Education Workshops
• Architectural Recommendations
• Technology reviews and recommendations