• 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

• Lead the design, implementation, and administration of OCI environments • Oversee day-to-day cloud infrastructure activities • Ensure high availability and performance optimization of cloud platforms • Contribute to the development of secure cloud architectures • Provide operational support for AMS clients • Monitor cloud usage and manage budgets • Coordinate with cloud service providers and vendors • Collaborate with application and security teams

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description North Stone is seeking a DevSecOps & Cloud Operations Engineer to support the automation, monitoring, and security of cloud-based development environments. The engineer will manage CI/CD pipelines, implement automation improvements, and optimize system performance across cloud platforms. - Manage and maintain CI/CD pipelines for application deployment and integration. - Implement DevSecOps automation and pipeline maturity improvements. - Monitor cloud infrastructure to ensure performance, reliability, and security. - Develop scripts and automation to support continuous integration and delivery processes. - Optimize cloud environments for logging, monitoring, and system performance. - Integrate security scanning and compliance checks into CI/CD pipelines. - Troubleshoot infrastructure issues across cloud and development environments. - Support infrastructure configuration and cloud resource management. - Collaborate with developers and QA engineers to support automated build and deployment processes. - Maintain documentation for DevSecOps processes and cloud infrastructure. Qualifications - Active DoD Secret Clearance. - Ability to obtain and maintain Privileged and SIPR access. - Bachelor’s degree in Computer Science, Cloud Engineering, or relative experience. - 4+ years of experience supporting DevSecOps or cloud infrastructure. - Experience with CI/CD pipeline tools and automation frameworks. - Experience managing AWS cloud infrastructure environments. - Knowledge of logging, monitoring, and performance optimization tools. Requirements - Experience supporting DoW or USAF Cloud One cloud environments. - Experience with Infrastructure as Code tools. - Cloud certifications with AWS or Azure. - Experience implementing security automation within DevSecOps pipelines. Company Description