Cloud Engineer

• Design, deploy, and optimize cloud architectures (AWS, Azure, GCP, Oracle Cloud Infrastructure (OCI) and/or hybrid environments) for multiple clients in line with industry best practices and compliance standards.
• Collaborate with client stakeholders and internal service delivery teams to translate business requirements into scalable, cost-effective, repeatable cloud solutions.
• Serve as a subject matter expert on cloud technologies, including Oracle IaaS/PaaS services, infrastructure automation, and cloud-native application design for multiple client accounts.
• Lead client onboarding and cloud migration projects, ensuring minimal disruption and adherence to security and compliance requirements.
• Monitor and proactively manage cloud environments, leveraging monitoring tools to identify and remediate issues under contractual SLAs.
• Partner with our Network Operations Center (NOC) and Service Desk to respond to incidents, troubleshoot cloud-related issues, and manage escalations.
• Develop and maintain standardized Infrastructure-as-Code (IaC) templates, deployment pipelines, and automation scripts for repetitive client needs.
• Stay updated on the latest cloud service offerings, cost-saving opportunities, and security best practices; advise clients on strategic improvements and modernization.
• Maintain accurate and detailed documentation for client environments, architecture diagrams, and standard operating procedures.
• Assist with pre-sales activities including technical scoping, effort estimation, and proposal development for potential clients.
• Implement and manage multi-tenant cloud environments ensuring secure resource separation, cost tracking, and compliance for each client.
• Contribute to continuous improvement of our managed services processes and cloud management frameworks.

Hybrid Cloud Architect, Oracle – Managed IT Services

Security Engineer

• Provide security advisory support to System Owners (SOs), Business Process Owners, ISSMs, and program leadership on matters related to information system security
• Support implementation, maintenance, and continuous improvement of security controls across enterprise systems and applications
• Coordinate and execute RMF activities including system categorization, control implementation, security assessments, authorization activities, and continuous monitoring
• Develop, review, and maintain System Security Plans (SSPs), POA&Ms, Security Assessment Plans, security procedures, and related authorization documentation
• Assess system security posture and recommend corrective actions to address risks, vulnerabilities, and compliance deficiencies
• Conduct security reviews and assessments to validate implementation and effectiveness of security controls
• Collaborate with engineers, system administrators, developers, and government stakeholders to ensure security requirements are integrated throughout the system lifecycle
• Support Authorization to Operate (ATO) activities and ongoing authorization maintenance efforts
• Execute vulnerability management activities including identification, remediation tracking, risk assessment, and validation of corrective actions
• Review and validate access control implementations, privileged account management, hardware inventories, software inventories, and security configurations
• Develop security reports, dashboards, metrics, and recommendations for government leadership
• Support audit activities, compliance reviews, inspections, and security assessments conducted by internal and external organizations
• Provide guidance regarding physical and logical protection of information system assets
• Evaluate security program effectiveness and recommend improvements to policies, procedures, and operational practices
• Support incident response, security investigations, and remediation activities as required
• Advise leadership on emerging threats, cybersecurity risks, and security improvement opportunities

Information System Security Officer

QA Engineer

• Design, develop, and maintain comprehensive test plans, test cases, and test scripts for web applications, APIs, and cloud-native solutions
• Execute manual and automated testing including functional, regression, integration, performance, and security testing
• Test and validate AI-enabled applications, machine learning integrations, and large language model (LLM) implementations
• Develop and maintain automated test frameworks using Selenium, Playwright, TriCentis, or similar tools
• Perform API testing and validation using Postman, REST clients, and related testing frameworks
• Identify, document, track, and manage defects through resolution using Jira, Bugzilla, or similar bug tracking systems
• Collaborate with developers, full-stack engineers, product owners, and stakeholders to understand requirements and ensure quality objectives are met
• Support continuous integration and deployment activities by integrating automated tests into CI/CD pipelines
• Validate data integrity and perform database verification using SQL queries and database testing techniques
• Track and report quality assurance metrics including defect densities, test coverage, and product readiness indicators
• Ensure compliance with cybersecurity requirements and participate in security testing activities
• Support Agile/Scrum ceremonies and contribute to sprint planning, retrospectives, and quality improvement initiatives

Hybrid QA Tester/Engineer

Data Engineer

• Design, construct, install, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines across cloud and on-prem systems.
• Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies. Support API strategy, data modeling, and domain-driven data structures.
• Implement monitoring systems to ensure data integrity, quality, and security across all storage and processing layers. Implement data quality checks, validation, lineage tracking, and metadata management.
• Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.
• Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery for greater scalability. Automate ingestion and transformation processes using industry-standard tools and patterns. Troubleshoot pipeline issues and optimize for performance and cost.
• Work with analytics and business teams to understand their data requirements and deliver production-ready datasets. Collaborate with AI engineers and analysts to ensure datasets meet requirements.

Hybrid Data Engineer

AI Engineer

• Design, develop, and maintain scalable full-stack web applications using modern frameworks and cloud-native architectures
• Build and maintain user interfaces using React and related front-end technologies
• Develop backend services, APIs, serverless functions, and integrations using Python and/or Node.js
• Integrate AI and machine learning services such as Amazon Bedrock and other large language model (LLM) platforms into enterprise applications
• Implement Retrieval-Augmented Generation (RAG), agentic AI workflows, and AI orchestration capabilities
• Optimize AI model prompts, monitor model performance, and support cost-efficient AI solution design
• Support deployment automation, monitoring, troubleshooting, and operational sustainment of AI-enabled systems
• Collaborate with engineers, product owners, and stakeholders to deliver scalable and secure solutions
• Ensure compliance with cybersecurity requirements and cloud governance best practices utilizing AWS IAM, security guardrails, and related controls
• Support DevSecOps activities including CI/CD pipelines, infrastructure automation, and cloud cost management

SMX

Hybrid Cloud Architect, Oracle – Managed IT Services

Information System Security Officer

Hybrid QA Tester/Engineer

Hybrid Data Engineer

Full Stack AI Developer