Talentus Global

DevOps Engineer

• Design, implement, and maintain CI/CD pipelines to support automated build, test, and deployment processes.
• Manage and optimize cloud infrastructure (OCI, AWS, Azure) to ensure scalability, reliability, and performance.
• Collaborate with development, QA, and operations teams to streamline software delivery and deployment workflows.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools (Terraform, Ansible).
• Monitor system performance, availability, and security, and implement improvements as needed.
• Troubleshoot and resolve issues across development, testing, and production environments.
• Implement and maintain logging, monitoring, and alerting solutions.
• Ensure system security by applying best practices, including access control and vulnerability management.
• Support containerization and orchestration platforms (Docker, Kubernetes).
• Maintain documentation related to infrastructure, processes, and deployment procedures.

Machine Learning Engineer

• Design, develop, and deploy machine learning and AI models to solve complex business problems.
• Build, train, evaluate, and optimize machine learning models using large and diverse datasets.
• Develop scalable data pipelines and feature engineering processes to support machine learning workflows.
• Implement and maintain production-ready ML systems, ensuring reliability, performance, and scalability.
• Integrate AI and machine learning solutions into existing applications, platforms, and APIs.
• Collaborate with data scientists, software engineers, and product teams to translate business requirements into AI solutions.
• Apply best practices for model testing, validation, monitoring, and lifecycle management.
• Implement MLOps practices including model versioning, CI/CD pipelines, automated training, and model monitoring.
• Work with cloud-based AI/ML services and infrastructure to support scalable deployments.
• Continuously evaluate and improve model performance through experimentation and tuning.
• Document models, pipelines, and workflows to ensure reproducibility and maintainability.
• Stay up to date with emerging AI and machine learning technologies and apply them when relevant.

AI / ML Engineer

AI Engineer

• Design and define the end-to-end architecture for AI and machine learning solutions across the organization.
• Lead the design, development, and deployment of scalable AI systems, including predictive models, generative AI, and intelligent automation.
• Define AI platform architecture including data pipelines, model training environments, MLOps frameworks, and model deployment strategies.
• Collaborate with data scientists, data engineers, and software engineers to translate business requirements into scalable AI solutions.
• Evaluate and select appropriate AI/ML frameworks, tools, and cloud services to support enterprise AI initiatives.
• Establish best practices for model development, governance, monitoring, and lifecycle management.
• Design architectures for integrating AI capabilities into enterprise applications, APIs, and business workflows.
• Ensure AI solutions meet requirements for performance, scalability, security, and compliance.
• Lead technical decision-making related to model infrastructure, LLM integration, vector databases, and AI orchestration frameworks.
• Drive the adoption of responsible AI practices, including model explainability, bias mitigation, and ethical AI principles.
• Guide teams on AI architecture patterns such as RAG (Retrieval Augmented Generation), AI agents, and multi-model orchestration.
• Support AI innovation by evaluating emerging technologies and identifying opportunities for competitive advantage.

AI Architect

Analyst

• Configure, build, and maintain EPIC/Cerner applications to support clinical and business operations.
• Monitor system performance and proactively identify issues, bugs, or optimization opportunities.
• Troubleshoot application errors and coordinate with technical teams for resolution.
• Manage system upgrades, patches, and enhancements ensuring minimal disruption to operations.
• Collaborate with functional analysts and stakeholders to implement system changes based on requirements.
• Perform system testing (unit, regression, and user acceptance testing).
• Maintain system documentation, including configurations, workflows, and changes.
• Support end-users by resolving incidents, service requests, and providing guidance on system usage.
• Ensure compliance with healthcare standards and data security regulations.

EPIC/CERNER Application Analyst

Consultant

• Analyze business processes and translate them into clear functional requirements for Oracle solutions.
• Serve as the primary liaison between business stakeholders and technical teams, ensuring alignment and effective communication.
• Configure and maintain Oracle applications (ERP Cloud or EBS) in accordance with business needs.
• Lead functional workshops, process mapping sessions, and gap analysis exercises.
• Identify opportunities for process improvement and recommend appropriate Oracle-based solutions.
• Support data migration activities, including data validation and reconciliation.
• Plan, coordinate, and execute functional testing (SIT/UAT) to ensure solution quality.
• Provide post-implementation support and contribute to continuous system enhancements.
• Develop and maintain functional documentation, including Business Requirement Documents (BRDs), Functional Design Documents (FDDs), and test scripts.
• Ensure compliance with organizational standards, business requirements, and Oracle best practices.

Oracle Functional Consultant

QA Engineer

• Design and execute test strategies, test plans, and test cases for MuleSoft integration solutions.
• Validate APIs and integration flows across System, Process, and Experience layers.
• Perform functional, regression, integration, and end-to-end testing of MuleSoft applications.
• Test RESTful and SOAP APIs using appropriate tools (e.g., Postman, SoapUI).
• Collaborate with developers, architects, and business stakeholders to define test scenarios and acceptance criteria.
• Identify, document, and track defects, ensuring timely resolution and retesting.
• Perform data validation and ensure accuracy of data transformations (DataWeave).
• Support User Acceptance Testing (UAT) and release validation activities.
• Contribute to test automation efforts and maintain automated test scripts where applicable.
• Ensure adherence to QA standards, testing methodologies, and best practices.

MuleSoft QA Engineer

Architect

• Lead the design and implementation of enterprise integration solutions using MuleSoft Anypoint Platform.
• Define integration architecture, standards, and best practices across projects and teams.
• Design API-led connectivity solutions, including System, Process, and Experience APIs.
• Provide technical leadership and guidance to integration developers and engineers.
• Collaborate with business stakeholders, architects, and technical teams to define integration strategies aligned with organizational goals.
• Oversee the development, deployment, and lifecycle management of APIs and integrations.
• Ensure scalability, performance, security, and reliability of integration solutions.
• Conduct architecture reviews, code reviews, and enforce governance policies.
• Manage and mitigate technical risks, dependencies, and integration challenges.
• Maintain architecture documentation, including solution designs, standards, and guidelines.

Lead MuleSoft Integration Architect

Software Engineer

• Design, develop, and maintain integration solutions using MuleSoft Anypoint Platform.
• Build and consume RESTful and SOAP APIs in alignment with defined integration requirements.
• Assist in implementing API-led connectivity, including System, Process, and Experience layers.
• Collaborate with architects and senior developers to translate business requirements into technical solutions.
• Develop data transformations using DataWeave for JSON, XML, and other data formats.
• Participate in unit testing, integration testing, and support User Acceptance Testing (UAT).
• Troubleshoot and resolve integration issues, ensuring system reliability and performance.
• Follow established coding standards, best practices, and integration patterns.
• Maintain technical documentation, including design specifications and API documentation.
• Support deployment and monitoring of Mule applications across environments.

MuleSoft Developer

• Design, develop, and execute manual and automated test cases.
• Validate integrations within EPIC/Cerner systems (interfaces, clinical workflows, data exchanges).
• Collaborate with developers, clinical analysts, and cross-functional stakeholders.
• Identify, document, and track defects through resolution.
• Ensure compliance with healthcare regulations (e.g., HIPAA).
• Perform regression testing, UAT support, and post-release validations.
• Analyze functional and technical requirements to ensure adequate test coverage.

QA Engineer – EPIC, Cerner

• Integrate security practices into CI/CD pipelines to ensure secure software delivery.
• Design and implement automated security controls across development, build, and deployment processes.
• Perform security assessments, including static (SAST), dynamic (DAST), and dependency vulnerability scanning.
• Collaborate with development, QA, and DevOps teams to identify and remediate security vulnerabilities.
• Implement and manage secrets management, identity and access controls, and encryption mechanisms.
• Monitor systems for security threats and respond to incidents in a timely manner.
• Ensure compliance with organizational security policies, standards, and regulatory requirements.
• Conduct risk assessments and support threat modeling activities.
• Promote secure coding practices and provide guidance to development teams.
• Maintain security documentation, including policies, procedures, and audit reports.

DevSecOps Engineer

• Lead the design, implementation, and optimization of DevOps practices for Microsoft Dynamics 365 and related systems.
• Define and manage CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, or similar.
• Oversee environment strategy, release management, and deployment processes across multiple environments.
• Collaborate with development, QA, and architecture teams to ensure smooth and reliable delivery.
• Implement infrastructure as code (IaC) and automation for scalable and repeatable deployments.
• Monitor system performance, availability, and reliability, ensuring rapid incident response and resolution.
• Establish and enforce DevOps best practices, standards, and governance.
• Manage version control, branching strategies, and code repository structures.
• Ensure security, compliance, and data protection across the DevOps lifecycle.

DevOps Lead

• Design, develop, and customize solutions within Microsoft Dynamics 365 (CRM and/or Finance & Operations).
• Develop plugins, workflows, custom APIs, and integrations.
• Collaborate with functional consultants to translate business requirements into technical solutions.
• Integrate Dynamics with external systems using APIs, Azure services, or middleware.
• Perform code reviews, debugging, and performance optimization.
• Support data migration and deployment activities.
• Ensure adherence to best practices, coding standards, and security guidelines.
• Participate in testing, including unit and integration testing.

MS Dynamics Developer

Project Manager

• Lead end-to-end project lifecycle for EPIC/Cerner implementations, upgrades, or integrations.
• Define project scope, timelines, resources, and deliverables.
• Coordinate cross-functional teams including developers, QA, clinical analysts, and stakeholders.
• Monitor project progress, risks, and dependencies; proactively resolve issues.
• Ensure compliance with healthcare regulations and data privacy standards.
• Manage stakeholder communication, status reporting, and executive updates.
• Oversee UAT, go-live activities, and post-implementation support.
• Drive continuous improvement in project delivery processes.

EPIC/CERNER Project Manager

Engineer

• Design, develop, and maintain interfaces between EPIC/Cerner and external systems (EHRs, labs, billing, third-party applications).
• Configure and support integration engines.
• Build and manage HL7, FHIR, and other healthcare data integrations.
• Monitor interface performance and ensure data accuracy, integrity, and timely delivery.
• Troubleshoot interface failures, message errors, and connectivity issues.
• Perform root cause analysis and implement long-term fixes for integration issues.
• Collaborate with application analysts, vendors, and external partners to define interface requirements.
• Support system upgrades, migrations, and new interface implementations.
• Maintain detailed documentation for interfaces, data mappings, and workflows.
• Ensure compliance with healthcare interoperability standards and data security regulations.

EPIC/CERNER Integration Engineer - LATAM Candidates

• Analyze clinical and operational workflows to identify opportunities for optimization within EPIC/Cerner systems.
• Configure, test, and maintain modules in EPIC/Cerner according to business and healthcare requirements.
• Collaborate with clinicians, stakeholders, and IT teams to translate functional needs into system solutions.
• Lead requirement gathering sessions, documentation, and functional specifications.
• Perform system testing (unit, integration, UAT) and support go-live activities.
• Troubleshoot system issues, analyze root causes, and coordinate resolution with technical teams.
• Ensure data integrity, system performance, and compliance with healthcare regulations (HIPAA or equivalent).
• Support system upgrades, enhancements, and optimization initiatives.
• Provide end-user training, documentation, and ongoing support.
• Participate in change management processes and ensure proper documentation of system changes.