Jobs at Datamatics Technologies

Provide technical and business consulting for Saudi Arabia’s NPHIES and HIE initiatives. Advise on FHIR, HL7, healthcare interoperability, payer-provider systems, revenue cycle workflows, and regulatory alignment. Review architectures, data structures, business requirements, integrations, and software releases. Conduct needs assessments, gap analyses, process optimization, solution recommendations, testing, training, documentation, and stakeholder workshops while coordinating with business, development, QA, and delivery teams.

Provides technical and business consulting for healthcare interoperability initiatives in Saudi Arabia. Advises on FHIR, HL7, NPHIES, HIE, payer-provider systems, revenue cycle workflows, solution architecture, system integration, and digital transformation. Leads requirements validation, gap analysis, process optimization, technical reviews, testing, stakeholder engagement, documentation, training, and delivery oversight.

Senior technical and business consultant supporting Saudi Arabia’s NPHIES and Health Information Exchange initiatives. Advises clients on FHIR, HL7, healthcare interoperability, solution architecture, system integration, payer-provider platforms, and Revenue Cycle workflows. Responsibilities include requirements validation, gap analysis, architecture reviews, process optimization, technical and business alignment, stakeholder engagement, testing, release validation, training, and knowledge transfer.

Develop, customize, integrate, test, deploy, and support scalable Salesforce applications. Build Apex code, Lightning Web Components, Salesforce Flow automation, integrations, and optimized queries while applying platform security, governor-limit, and performance best practices. Manage deployments through SFDX, Git, and CI/CD pipelines; participate in design reviews, troubleshooting, documentation, and Agile/Scrum delivery.

Develop, customize, integrate, test, deploy, and support scalable Salesforce applications. Build Apex code, Lightning Web Components, Salesforce Flow automation, integrations, and platform enhancements. Manage security, data models, queries, performance, deployments, and CI/CD processes. Collaborate with technical and business stakeholders, participate in code reviews and Agile/Scrum delivery, troubleshoot production issues, and maintain documentation.

Develop, customize, integrate, test, deploy, and support scalable Salesforce applications. Responsibilities include Apex development, Lightning Web Components, Flow automation, SOQL/SOSL optimization, platform integrations, security configuration, performance tuning, code reviews, production support, and CI/CD deployments using Salesforce DX and Git. Collaborate with technical and business stakeholders in Agile/Scrum environments while maintaining documentation and applying Salesforce best practices.

Develop, customize, integrate, test, deploy, and support scalable Salesforce applications. Build Apex code, Lightning Web Components, Flow automation, integrations, and platform enhancements while following security, governor-limit, and performance best practices. Manage deployments with Salesforce DX, Git, and CI/CD pipelines; participate in solution design, code reviews, Agile delivery, troubleshooting, production support, and technical documentation.

Develop, customize, integrate, test, deploy, and support Salesforce applications. Build Apex, Lightning Web Components, Flow automation, integrations, and platform enhancements while optimizing queries, security, performance, and governor-limit compliance. Manage deployments through Salesforce DX, Git, and CI/CD pipelines; participate in code reviews, Agile delivery, troubleshooting, documentation, and production support.

Operate and govern enterprise AI platforms on Microsoft Azure, supporting Azure AI Foundry, Azure OpenAI, AI gateways, workload onboarding, guardrails, observability, security, cost controls, and production readiness. Coordinate incident resolution and stakeholder dependencies while maintaining onboarding checklists, operational runbooks, governance evidence, troubleshooting documentation, and knowledge-transfer materials. Support integrations involving APIs, agents, event streams, data stores, monitoring, and enterprise AI services.

Administer and operate enterprise Azure cloud platforms, including landing zones, networking, identity, RBAC, policies, Key Vault, monitoring, and cost controls. Maintain Terraform infrastructure as code and GitHub Enterprise Server CI/CD pipelines, execute releases and rollbacks, troubleshoot cross-cloud and on-premise integrations, support incidents, and maintain operational documentation and runbooks.

Administer and operate enterprise Azure cloud platforms, including subscriptions, networking, identity, RBAC, policies, secrets, monitoring, cost controls, and landing zones. Maintain Terraform infrastructure as code, GHES and GitHub Actions CI/CD pipelines, self-hosted runners, releases, rollbacks, and deployment verification. Troubleshoot Azure, GCP, and on-premises connectivity and integration issues, support incidents and root-cause analysis, and maintain operational documentation, runbooks, inventories, and handover materials.

Administer and operate enterprise Azure cloud platforms, including landing zones, networking, identity, RBAC, policies, secrets, monitoring, and cost controls. Maintain Terraform infrastructure as code and GitHub Enterprise Server CI/CD pipelines, execute releases and rollbacks, troubleshoot cross-cloud and on-premises connectivity, support incidents, and maintain operational documentation and runbooks.

Administer and operate enterprise Azure cloud platforms, including landing zones, networking, identity, RBAC, policies, secrets, monitoring, cost controls, and Terraform infrastructure. Manage GHES, GitHub Actions, self-hosted runners, CI/CD pipelines, releases, rollbacks, incident troubleshooting, and cross-cloud or on-premises connectivity. Maintain operational runbooks, configuration inventories, monitoring records, deployment procedures, and handover documentation.

Operate and govern enterprise AI platforms on Microsoft Azure, supporting Azure AI Foundry, Azure OpenAI, AI gateways, workload onboarding, security controls, observability, cost management, incident resolution, and operational documentation. Partner with technical and business teams to ensure secure, scalable, production-ready Generative AI and agentic AI deployments.

Develop, customize, integrate, test, deploy, and support scalable Salesforce solutions. Build Apex applications, Lightning Web Components, Flow automations, integrations, and platform enhancements. Configure Salesforce security and data models, optimize queries and performance, manage deployments with SFDX and Git, troubleshoot production issues, participate in code reviews and Agile delivery, and document technical solutions.

Operate and govern enterprise AI platforms on Microsoft Azure, supporting Azure AI Foundry, Azure OpenAI, AI gateways, workload onboarding, security controls, observability, cost management, and incident resolution. Assist teams with identity, connectivity, deployment readiness, monitoring, guardrails, and production verification. Maintain operational runbooks, governance evidence, onboarding checklists, troubleshooting guides, dependency records, and knowledge-transfer materials while coordinating with technical stakeholders and vendors.

Administer and operate enterprise Azure cloud platforms, including landing zones, networking, identity, RBAC, policies, secrets, monitoring, and cost controls. Maintain Terraform infrastructure as code, GitHub Enterprise Server, GitHub Actions, self-hosted runners, and CI/CD pipelines. Execute releases, deployments, rollbacks, incident troubleshooting, monitoring, and root-cause analysis across Azure, GCP, and on-premise environments. Maintain operational documentation, runbooks, inventories, and knowledge-transfer materials.

Operate and govern enterprise AI platforms on Microsoft Azure, supporting Azure AI Foundry, Azure OpenAI, generative AI, and agentic workloads. Manage onboarding, APIM and gateway integrations, identity, security, guardrails, observability, monitoring, quotas, cost attribution, incident resolution, and governance controls. Create operational runbooks, onboarding checklists, troubleshooting documentation, governance evidence, and knowledge-transfer materials while coordinating with technical stakeholders.

Operate and govern enterprise AI platforms on Microsoft Azure, supporting Azure AI Foundry, Azure OpenAI, AI gateways, workload onboarding, identity, networking, monitoring, guardrails, cost controls, and incident resolution. Coordinate with technical stakeholders, maintain operational runbooks and governance evidence, validate observability and deployment readiness, and support generative AI, RAG, and agentic workloads in production environments.

Design enterprise data architectures and production AI/ML systems across cloud platforms and modern data stacks. Lead data modeling, warehousing, governance, MLOps, LLM/GenAI, RAG, vector database, API integration, and system architecture initiatives. Translate business needs into technical designs and collaborate with engineering teams, executives, vendors, and public-sector stakeholders on smart-city and enterprise platforms.