This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This is an exciting opportunity for an experienced cloud networking professional to design, deploy, and optimize networking and network security solutions across major public cloud platforms. You will work with enterprise clients to architect scalable, resilient, and secure cloud environments while integrating on-premises networks for seamless adoption of cloud services. This role combines hands-on technical expertise with client-facing consulting, enabling you to influence cloud strategy, drive automation initiatives, and provide guidance on complex networking challenges. You will lead design efforts, mentor junior team members, and serve as a trusted technical advisor in cross-functional engagements. If you thrive in fast-paced environments and enjoy shaping enterprise cloud networking solutions, this role offers high visibility and impact. - Lead the design, deployment, and automation of networking and security solutions in AWS, Azure, and Google Cloud Platform (GCP). - Serve as a technical escalation point for client incidents and complex networking issues, ensuring timely resolution. - Facilitate client workshops and engagements as the subject matter expert, translating business requirements into technical solutions. - Develop and deliver detailed assessment and design documentation, including low-level diagrams and project deliverables. - Mentor and support junior team members through training sessions and on-the-job guidance. - Maintain consistent communication with clients and project managers throughout the project lifecycle. - Track and report time, expenses, and project activities in accordance with organizational policies. Qualifications - 7+ years of consulting or equivalent experience in enterprise networking and cloud environments. - Expertise in cloud networking and security, including hands-on experience with Terraform or similar infrastructure-as-code tools. - Advanced knowledge of general network security, data center networking, and software-defined networking. - Proven experience as a technical lead on medium to large-scale networking projects. - Strong client-facing and consulting skills, with the ability to guide clients to effective solutions. - Excellent communication, problem-solving, and analytical skills. - Ability to work independently and collaboratively, managing multiple priorities in a fast-paced environment. - Relevant expert-level certifications (e.g., CCIE Enterprise Infrastructure, AWS Network Specialty). - Bachelor’s degree in Information Technology, Computer Science, or equivalent experience. Requirements - 7+ years of consulting or equivalent experience in enterprise networking and cloud environments. - Expertise in cloud networking and security, including hands-on experience with Terraform or similar infrastructure-as-code tools. - Advanced knowledge of general network security, data center networking, and software-defined networking. - Proven experience as a technical lead on medium to large-scale networking projects. - Strong client-facing and consulting skills, with the ability to guide clients to effective solutions. - Excellent communication, problem-solving, and analytical skills. - Ability to work independently and collaboratively, managing multiple priorities in a fast-paced environment. - Relevant expert-level certifications (e.g., CCIE Enterprise Infrastructure, AWS Network Specialty). - Bachelor’s degree in Information Technology, Computer Science, or equivalent experience. Benefits - Competitive compensation: $170,000 - $200,000 annually (base + target bonus). - Comprehensive healthcare coverage including medical, dental, and vision insurance. - 401(k) plan with company contributions. - Paid company holidays and flexible paid time off. - Paid parental and caregiver leave. - Access to professional development opportunities, certifications, and training programs. - Remote work flexibility with a collaborative, supportive team environment.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The AWS Cloud Administrator is responsible for the operational health, security posture, and continuous availability of an AWS GovCloud (IL4) environment supporting the AI Contact Center platform. This role manages IAM policies, monitors infrastructure performance, enforces compliance baselines, coordinates patching and maintenance activities, and ensures 99.9%+ uptime across all AI services. The administrator works closely with the Security Engineer on FedRAMP High compliance, STIG hardening verification, and audit readiness, and supports the development team with environment provisioning and access management. - Manage and monitor an AWS GovCloud environment (us-gov-west-1) hosting Amazon Connect, Bedrock, Lambda, Lex, Kinesis, S3, CloudWatch, QuickSight, and Contact Lens - Administer IAM roles, policies, and permission boundaries following least-privilege principles for all team members and service accounts across Dev, Test, UAT, and Production environments - Monitor infrastructure health and performance using CloudWatch dashboards, alarms, and automated remediation runbooks; maintain ≥99.9% uptime SLA for AI services and ≥99.5% for production environments - Manage environment provisioning and configuration across the four-tier environment structure (Development, Test, UAT, Production), ensuring parity and change isolation - Coordinate scheduled maintenance windows and deployment activities with the CAB process via ServiceNow, ensuring zero-downtime deployments where possible - Implement and maintain CloudTrail logging, VPC Flow Logs, and CloudWatch Logs for all AI services; format and forward logs to the SIEM for security monitoring - Support the Security Engineer with FedRAMP High compliance activities: continuous monitoring, POA&M tracking, security control evidence collection, and audit artifact preparation - Manage S3 bucket policies, encryption configurations (SSE-S3, SSE-KMS), and lifecycle rules for call recordings, transcripts, and AI inference logs - Monitor AWS service quotas and request increases as call volumes scale; track Bedrock inference consumption, Lambda concurrency, and Kinesis shard utilization - Configure and maintain AWS backup strategies for critical data stores (DynamoDB, S3) with documented recovery procedures - Respond to operational incidents per the incident management framework; perform root cause analysis and implement preventive measures - Support 24x7x365 monitoring and on-call rotation for production environment availability - Maintain operational runbooks and standard operating procedures for common administrative tasks, incident response, and disaster recovery Qualifications - 3+ years of experience administering AWS environments in production, including IAM, VPC, CloudWatch, CloudTrail, S3, Lambda, and KMS - Experience operating within AWS GovCloud or equivalent FedRAMP-authorized cloud environments - Strong understanding of IAM policy design, service control policies, permission boundaries, and cross-account access patterns - Proficiency with CloudWatch monitoring, alarms, dashboards, and log management (CloudWatch Logs, Log Insights) - Experience with infrastructure-as-code (CloudFormation, CDK, or Terraform) for environment provisioning and change management - Familiarity with NIST 800-53 security controls, FedRAMP continuous monitoring requirements, and DFARS 252.204-7012 - Understanding of encryption at rest (KMS, SSE) and in transit (TLS 1.2/1.3) implementation in AWS - Experience with incident management processes and on-call rotations in production environments - Knowledge of serverless architecture administration (Lambda, API Gateway, Kinesis, S3 event triggers) - Strong documentation skills for runbooks, SOPs, and compliance evidence - Bachelor’s degree in Information Technology, Computer Science, Cybersecurity, or related field (or equivalent experience) Preferred Qualifications - AWS certifications: SysOps Administrator, Solutions Architect, or Security Specialty - Experience with Amazon Connect administration and Contact Lens configuration - Prior work in IL4/IL5 or DoD environments with STIG compliance requirements - Familiarity with ServiceNow for change management and incident tracking - Experience with Azure GCC High environments and Azure-to-AWS interoperability - Knowledge of HIPAA technical safeguards and healthcare data handling requirements - Experience with AWS Organizations, Control Tower, or multi-account governance

• Assist private-cloud and managed-hosting usage models to understand consumption drivers across Kaseya products and translate them into actionable insights. • Be finance business partner for CTO organization, working independently with engineering, infrastructure, CISO, procurement, and product stakeholders to provide financial recommendations • Assist public and private cloud usage analysis and tell a clear story on spend, unit economics, and optimization opportunities • Lead financial planning for technology and Security investments and optimization opportunities • Execution of core finance rhythms including month-end close, forecast updates, and the annual operating plan (AOP) • Collaborate with procurement and supply chain teams to optimize Capex investments and inventory levels • Model and forecast key cloud metrics (usage, subscriptions, storage/compute growth) that drive budgeting and scenario planning • Integrate data from public and private cloud system to create clear, actionable consumption narratives • Identify and implement new analyses, dashboards, or telemetry-based reporting that increase visibility and drive efficiency

• Develop and maintain AWS Lambda functions that orchestrate AI inference calls to Bedrock Agents, process Contact Lens transcript streams, and write structured data to Salesforce • Build and optimize the real-time data pipeline from Amazon Connect through Kinesis to downstream consumers (Bedrock, Salesforce, Verint, QuickSight) • Extend the existing Lambda-to-Salesforce integration from post-call writes to near-real-time delivery during live calls for the AI Coaching capability • Implement Salesforce Platform Events or Streaming API integrations to push coaching prompts to agents in real time • Develop the Lightning Web Component (LWC) that renders AI coaching prompts within the agent’s Salesforce workspace, displaying contextual cards for compliance alerts, recommended actions, and knowledge suggestions • Configure Amazon Lex bot intents, slot types, and fulfillment logic for the IVR Call Taking virtual agent, connecting Lex to Bedrock Agents for complex fulfillment • Build the post-call summarization pipeline: Contact Lens transcript → Bedrock inference → Guardrails validation → Salesforce case record write • Integrate AI-generated summaries, call metadata, and quality scores with Verint for quality management alignment • Configure CloudWatch alarms, anomaly detection for call reason spike detection, and operational monitoring dashboards • Implement infrastructure-as-code using CloudFormation or CDK for all new AWS resources, ensuring reproducible deployments across Dev, Test, UAT, and Production environments • Follow DevSecOps practices: code version control in CodeCommit, automated unit testing, security-focused code reviews, and CAB-approved deployment processes via ServiceNow • Collaborate with the Security Engineer to ensure all integrations enforce TLS 1.2/1.3 encryption, IAM least-privilege access, and SIEM-compatible logging