• Oversee the design, implementation, and management of hybrid cloud solutions • Provide strategic leadership in integrating on-premises Active Directory with Azure • Mentor team members and drive innovative solutions • Guide and support Azure and Infrastructure engineers • Plan, execute, and support the migration of workloads to Azure • Maintain and operate the Azure environment • Identify and execute strategies for cost reduction • Implement Azure best practices for governance, security, and monitoring • Support application teams by provisioning Azure resources • Contribute to automation and infrastructure-as-code initiatives • Create and maintain technical documentation and procedures • Lead cyber-recovery capabilities and design Zero Trust security model • Design and maintain global IT infrastructure DR strategy

Role Description CMG Financial is hiring a Senior Cloud DBA who leads the lifecycle management of enterprise database platforms spanning on-premises SQL Server, Azure SQL, and cloud-native services including PostgreSQL, Snowflake, and Databricks. This role owns database availability, security, and performance across hybrid and multi-cloud environments, balancing operational excellence with strategic cloud migration and DevOps-driven automation. - On-premises SQL Server and Azure SQL Managed Instance environments - Cloud-native database platforms: PostgreSQL, Snowflake, Databricks - Cloud migration planning, execution, and optimization - Database security, access controls, auditing, and compliance - DevOps practices: CI/CD pipelines, Infrastructure as Code, and automation - High availability, disaster recovery, and database reliability engineering Qualifications - 5+ years in database administration with strong SQL Server and Azure SQL expertise - Proven experience migrating databases from on-premises to cloud environments - Hands-on with Always On Availability Groups, DAGs, and SQL Server HA features - Working knowledge of at least one cloud-native platform: Snowflake, Databricks, or PostgreSQL - Experience building CI/CD pipelines and managing Infrastructure as Code (Terraform, ARM, Bicep) - Strong scripting skills in Python, PowerShell, or Bash - Proficiency in database security, encryption, auditing, and performance tuning Requirements - Migrate on-premises SQL Server databases to Azure SQL Managed Instance with minimal downtime and optimized configurations - Evaluate and recommend target platforms (Azure SQL, PostgreSQL, Snowflake, Databricks) based on workload characteristics - Perform routine maintenance on SQL Server instances including index optimization, statistics updates, integrity checks, and performance tuning - Manage Byte database upgrades and lower environment refreshes with production data - Conduct query optimization, execution plan analysis, and workload profiling - Administer Azure SQL databases including elastic pools, serverless tiers, and geo-replication - Manage PostgreSQL deployments including replication (logical/streaming), backup/recovery, partitioning, and index strategies - Administer Snowflake platform: roles, permissions, security policies, warehouse sizing, query optimization, and clustering - Support Databricks environments: cluster administration, Unity Catalog, Delta Lake/Lakehouse architecture, and Spark tuning - Implement Azure security measures including access controls, firewalls, Transparent Data Encryption, and auditing - Manage on-prem SQL Server security: user provisioning, role-based access, and vulnerability assessments - Enforce security policies and data governance across Snowflake, Databricks, and PostgreSQL - Configure and manage Distributed Availability Groups (DAGs) and Always On AGs with read-only intent for reporting - Design backup/recovery strategies and conduct DR testing across all platforms - Build and maintain CI/CD pipelines for database deployments using Azure DevOps, GitHub Actions, or Jenkins - Develop Infrastructure as Code (Terraform, ARM templates, Bicep) for provisioning database resources - Automate schema migrations, data refreshes, and validation workflows using Python, PowerShell, or Bash - Implement monitoring and alerting (Azure Monitor, Grafana, Datadog) for database health and performance - Manage version control of database schemas and migration scripts using Git - Provide DBA support for Byte DB Archive and address ad-hoc database requests Benefits - This role is a remote position that is currently allocated for candidates within geographic regions that do not currently require base wage disclosure. - The compensation range for this position will be provided upon request. - Due to their geographic location, residents of the states of CA & CO, and for NY, Etc. are excluded from this role at this time.

Role Description We are seeking a high-caliber AWS Cloud Architect to spearhead our Modernization Acceleration Program (MAP). This is not a traditional "Lift & Shift" role; you will be the technical visionary responsible for transforming legacy on-premises workloads into high-performance, cloud-native architectures. You will lead the shift from monolithic systems to microservices, utilizing a code-first approach with AWS CDK and TypeScript. Core Responsibilities - Strategic Modernization & Architecture - Architect cloud-native target states that replace legacy patterns with scalable, resilient, and cost-optimized solutions. - Execute modernization pathways within the AWS MAP framework, driving the transition from .NET/SQL Server to modern stacks like PostgreSQL (Aurora) and ECS with Fargate. - Serve as the technical authority for Modernization Readiness Assessments and Experience-Based Acceleration (EBA) sessions. - Infrastructure as Code (CDK & TypeScript) - Standardize all infrastructure deployment exclusively via AWS CDK (TypeScript), moving away from manual configurations and CloudFormation. - Design and govern reusable CDK constructs to ensure organizational standards for security, networking, and observability are baked into every deployment. - Implement enterprise-grade CI/CD pipelines with automated security and performance gates. - Vendor & Program Leadership - Collaborate closely with our preferred vendor to provide technical oversight, ensuring their delivery matches our architectural rigour and modernization roadmap. - Mentor internal engineering teams on modern cloud patterns. Company Description

• Engineer, implement, and manage secure, scalable AI/ML platforms specifically within the AWS ecosystem • Serve as a Subject Matter Expert (SME) in optimizing AWS infrastructure using Infrastructure as Code (IaC) to ensure high availability for model endpoints and data planes • Lead the end-to-end operationalization of modern AI and Generative AI workloads, including LLM-powered applications, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks • Build and maintain reliable, cost-efficient platforms utilizing native AWS services and automated CI/CD pipelines to transition intelligent solutions from development to production • Implement advanced monitoring solutions to oversee platform health, performance, and the stability of AI-driven workloads • Act as a technical lead to advance the organization’s cloud maturity, ensuring all AWS-based AI solutions are robust, secure, and 'AI-ready'