CBTS

Solutions Engineer

• Responsible for the design and implementation of scalable, secure enterprise-wide technical solutions
• Work closely and collaborate with different engineering departments
• Responsible for the development, document, and maintenance of best practices solutions guidelines
• Responsible for developing, implement and document any POC (prove of concept)
• Stay up to date with emerging technologies and trends
• Collaborate with other teams to ensure solutions are integrated
• Communicate with the stakeholders and other teams
• Function as the highest technical escalation level for the organization
• Design and escalation for support/troubleshooting of complex customer environments

Enterprise Solutions Architect

Manager

• Develop and implement a PMO strategy aligned with IT consulting delivery models and client expectations.
• Lead a team of project and program managers delivering enterprise IT solutions (e.g., cloud migration, ERP implementations, cybersecurity, digital transformation).
• Define and enforce PMO governance, delivery standards, and scalable methodologies (Agile, Waterfall, Hybrid).
• Manage a portfolio of complex, multi-phase IT consulting projects across industries such as healthcare, finance, manufacturing, and government.
• Monitor project health, including scope, schedule, budget, quality, and client satisfaction.
• Provide executive dashboards and insights to leadership on delivery performance and strategic risks.

Delivery Manager – PMO

Controller

• Lead and manage daily accounting operations, overseeing a team of ~8 accountants.
• Ensure timely and accurate month-end and year-end close processes.
• Prepare and review financial reports in accordance with GAAP.
• Support internal and external audit processes.
• Collaborate with FP&A and other departments to support budgeting and forecasting.
• Drive process improvements and support system enhancements.
• Maintain and enforce internal controls and accounting policies.

Assistant Controller

Business Intelligence Developer

• Responsible for the front end production of data solutions used to drive business value
• Work with business users to solicit requirements, consolidate data, and provide value-add analysis
• Identify and develop data process recommendations that increase the efficiency and effectiveness of enterprise information architecture
• Provide support to teams and management by collecting data, analyzing structures, and the publishing/maintenance of dashboards/reports for end users
• Define/refine analytical requirements for dashboarding, prescriptive business metrics and process gaps
• Translate business requirements into functional dashboards, standard reports and enterprise data processes
• Design and implement data processes for integration into system architectures
• Produce quarterly, monthly and ad hoc report requests
• Report administration, quality assurance and process documentation
• Data discovery, planning and architecture with Analytics - Insights team
• Serve as a lead role for others doing similar work

Senior Business Intelligence Analyst

Security Engineer

• 100% customer-facing role to manage technical security controls, vulnerabilities, exploits, and incidents for customers
• Day-to-day management of client's security infrastructure and monitoring/response to security events
• Perform security assessments, gap analysis, and document findings with recommendations for technical and non-technical audiences
• Conduct vulnerability scans and penetration tests across multiple assessment types (social engineering, wireless, mobile, physical, web apps)
• Assist customer staff with security architecture recommendations, writing policies/procedures, security research, and product/tool evaluation
• Act as technical SME for security operations, handling escalations, outages, and incident handling across teams
• Lead planning, documentation, process development, and technical procedures for global security operations
• Lead technical project efforts and participate in expansion of new opportunities with existing customers
• Configure, manage, and operate Akamai solutions (Account Protector, Kona Site Defender, WAF, Bot Manager, CDN, SSL/TLS)
• Implement and optimize Akamai Account Protector for ATO and fraud prevention, integrate into login flows, and tune policies for emerging threats
• Ensure high availability, performance tuning, capacity planning, monitoring, troubleshooting, and incident resolution for Akamai services
• Conduct regular risk assessments, compliance checks, and assist with PCI DSS audits, reporting, and documentation
• Develop automation scripts (Python, Shell) to streamline Akamai operational tasks and configuration updates
• Maintain comprehensive documentation, operational procedures, and provide expertise during internal/external PCI DSS audits

Security Engineer III

• 100% customer-facing position managing technical security controls and communicating vulnerabilities, exploits, and incidents within operations teams
• Provide day-to-day operation support of the client's security infrastructure or day-to-day monitoring, management, and response to security events
• Perform day-to-day management of the security infrastructure within area of expertise and/or perform incident/event/detection response and analysis of security events in the enterprise
• Participate in and/or own project improvement efforts including infrastructure upgrades, automation development, implementation/testing of new systems, processes, or techniques, documentation, etc.
• Interact routinely with technology team leadership (i.e. senior security engineer and/or Team Lead)
• Assist with the documentation of procedures for security infrastructure
• Oversee deployment, configuration and ongoing management of the Insider Threat and Endpoint DLP solutions; ensure platform scalability, performance optimization and high availability across the enterprise
• Support and assist insider threat team with gaps identified while investigations by analyzing alerts and logs generated by the Insider Threat and Endpoint DLP solutions
• Support and assist with policy development & refinement for rulesets; customize configurations based on evolving organizational needs and threat landscapes
• Integrate platform solutions with other Cybersecurity tools such as SIEM, SOAR and EDR/XDR platforms
• Monitor platform health and proactively address potential issues; generate and present detailed health reports & platform performance metrics to stakeholders
• Automate repetitive tasks to enhance efficiency and streamline operations
• Collaborate with stakeholders to understand business requirements and design Proofpoint email security solution, including configuring email security policies, threat intelligence, and DLP rules
• Manage and maintain the Proofpoint environment, including system upgrades, patching, and policy tuning; monitor system health, performance, and availability
• Troubleshoot and resolve issues; play a key role in incident response activities related to email security incidents; investigate and analyze security events, identify root causes, and implement preventive measures
• Develop and enforce email security policies, rules, and filters to protect against spam, malware, phishing, and other email-borne threats
• Continuously assess and refine policies based on evolving threat landscapes and business requirements
• Stay up to date with the latest email security threats, vulnerabilities, and industry best practices; conduct research and analysis to proactively identify emerging threats and propose mitigation strategies
• Maintain accurate documentation of the Proofpoint environment, configuration settings, and procedures; prepare regular reports on system performance, security incidents, and mitigation efforts for management and stakeholders
• Engage with Proofpoint support and product teams to escalate and resolve technical issues, coordinate product updates, and provide feedback on product enhancements and feature requests
• Provide technical leadership and mentorship to junior team members

Security Engineer II

• Assist in technical pre-sales engagements: collaborate with sales, translate business requirements into data and AI architectures, and develop/present solution proposals and business cases.
• Conduct technical deep-dives and workshops, addressing data integration, quality, governance, and security concerns; use rapid prototyping and proofs-of-concept to de-risk proposals.
• Design, develop, and implement robust, scalable, and secure end-to-end data pipelines and architectures on cloud platforms (AWS, Azure) leveraging Snowflake and Databricks.
• Lead development, validation, and operationalization of advanced analytical models and machine learning solutions to address business problems and deliver measurable insights.
• Drive hands-on implementation, customization, and integration of data and AI solutions within client environments, ensuring adoption and value realization.
• Oversee data quality, integrity, and governance throughout the solution lifecycle; establish best practices and monitoring mechanisms.
• Apply DevOps/MLOps principles to automate deployment, monitoring, and maintenance of data and AI systems in production.
• Act as primary technical point of contact and trusted advisor for clients; translate technical concepts into actionable business recommendations for diverse audiences.
• Collaborate closely with client teams to understand objectives, provide strategic guidance on emerging data and AI technologies, and identify upsell/expansion opportunities.
• Ensure high billable utilization by tracking time, managing project scope, and focusing on client satisfaction and project profitability.
• Provide technical leadership and mentorship to junior team members; contribute to internal knowledge base, best practices, and reusable assets.
• Stay abreast of industry trends, new technologies, and evolving best practices in data engineering, data science, cloud computing, and AI.

Solutions Architect – Data and AI

Machine Learning Engineer

• Drive transformative AI solutions by designing, building, and deploying robust, scalable AI systems for clients
• Collaborate with Data Scientists and Data Engineers to implement custom machine learning models and AI solutions
• Write and maintain production-grade code following industry-leading software engineering practices
• Deploy and fine-tune advanced machine learning and deep learning models to meet performance and scalability goals
• Integrate models into clients’ production pipelines ensuring robustness, reliability, and business alignment
• Participate in build-outs of reusable AI components and accelerators to standardize delivery
• Track and manage billable utilization, ensuring accurate invoicing, strong client ROI, and CBTS profitability
• Own delivery quality and utilization to drive client outcomes and reinforce consultative excellence at CBTS

AI and Machine Learning Engineer

Artificial Intelligence

• Engage with senior stakeholders to assess business priorities and identify strategic AI opportunities
• Define, scope, and articulate high-impact AI use cases aligned to client objectives
• Lead client relationships end-to-end, advocating for business goals, guiding delivery, and ensuring strategic alignment across teams
• Serve as the primary liaison between clients and delivery teams, translating business needs into scalable AI solutions
• Drive adoption and integration of AI into client operations, aligning strategy with culture and change management
• Maintain full visibility into deliverables, utilization, and outcomes to ensure exceptional client value and firm profitability

Principal AI Consultant

Data Engineer

• As a client-facing Data Engineer at CBTS, you are the architect behind the data infrastructure that enables AI-powered business transformation.
• You will be responsible for designing, building, and maintaining scalable and secure data pipelines that directly support client delivery.
• Develop and Optimize Data Pipelines: Architect and build robust ETL/ELT pipelines to ingest, process, and transform high-volume, high-variety data, ensuring reliability and performance at each stage.
• Ensure Data Integrity and Governance: Implement data validation, lineage, access controls, and security protocols to maintain data quality and compliance across all touchpoints.
• Enable Production Readiness: Collaborate with Data Scientists and ML Engineers to design pipelines and storage solutions that reliably feed model training and deployment in production environments.
• Drive Scalable Platform Enhancements: Build and maintain reusable, modular components and accelerators that improve the efficiency and repeatability of data delivery across client engagements.
• Track Utilization and Client Value: Maintain accurate time tracking against billable projects, ensuring transparency in deliverables, utilization, and the value delivered to clients.

Customer Support

• Provide leadership and guidance to the Service Desk team and internal stakeholders
• Monitor and manage ticket queues to ensure proper assignment, prioritization, and resolution of customer issues
• Maintain exceptional ticket documentation and SLA attainment
• Identify trends, address recurring issues, and develop methods to monitor ticket queues
• Engage in Service Coordination and/or Implementation Coordination activities
• Drive continuous service improvement, evaluate customer satisfaction, establish goals and metrics, and provide reporting and feedback to the business
• Support launch of new products or system enhancements

Managed Services Support Specialist

Network Engineer

• Lead technical deployment projects, including implementation plans, methods of procedure, and resource identification.
• Engineer and configure customer orders within established processes and timelines.
• Capacity Planning: Collaborate with Network Planning to manage growth and capacity.
• Monitor network performance and communicate capacity needs.
• Network Design & Implementation: Implement network designs that meet performance, reliability, and scalability requirements within SLAs.
• Serve as technical lead on complex network projects.
• Cross-Functional Collaboration: Represent Network Engineering on cross-functional product and project teams.
• Contribute to the development, launch, and implementation of Professional Services offerings.

Network Engineer III

• Architecture & Pre-Sales: Assist in technical pre-sales engagements, collaborate with sales teams to understand client requirements and translate them into data and AI solution architectures. Develop and present solution proposals, technical designs, and ROI analyses. Conduct technical deep-dives and workshops; utilize rapid prototyping and PoC development.
• End-to-End Data Solution Delivery: Design, develop, and implement scalable data pipelines on AWS/Azure leveraging Snowflake/Databricks; lead development and operationalization of ML models; drive adoption; ensure data quality and governance; apply DevOps/MLOps for production deployment.
• Client Relationship & Advisory: Serve as primary technical contact; translate insights into actionable business recommendations; nurture client relationships; maximize billable utilization and identify upsell opportunities.
• Technical Leadership & Mentorship: Provide guidance to junior members; contribute to knowledge base; stay current on data engineering, cloud computing, and AI trends.

Data & AI Solutions Architect

• The Network Engineer IV is responsible for the discovery, design, implementation, and transition of network infrastructure for new builds or upgrades.
• Works with project managers to provide updates on timelines, milestones, deliverables.
• Performs comprehensive network discovery activities to assess existing infrastructure.
• Implements network solutions and manages handoff to operational support teams.
• Creates and updates detailed documentation for implemented network solutions.
• Participates in ITIL activities, including change, incident, and problem management, as well as configuration management (CMDB).
• Collaborates with project managers on task assignments, status updates, and project deliverables.