PHC Global

Cloud Engineer

• Infrastructure Assessment and Optimization: Assess current infrastructure and identify opportunities for optimization and improvement
• Cloud Productionization Strategy Development: Develop strategies for productionizing cloud computing applications
• Standardization and Governance of Cloud Applications: Ensure standardization and governance of cloud-based applications within the organization
• Development and Maintenance of Cloud-Based Systems: Develop, oversee, and maintain cloud-based applications and systems (working closely with engineering and data science teams)
• Cloud Service Provider Management: Manage relationships with cloud service providers, such as GCP and AWS
• Implement the strategies for managing cloud infrastructure, storage, and software
• Implement the CI/CD strategies for the PHC Global software across deployment environments, along with cloud deployment, containerization strategy, reliability and performance, security and availability, monitoring and alerting, and disaster recovery.
• Deploy security controls, define access policies, and implement automation scripts using tools like Terraform to enforce compliance and support audits/investigations, as needed.
• Execute and troubleshoot SaaS application deployment procedures.
• Develop and improve automation and procedures in the cloud environment.
• Creating and maintaining technical documents for cloud infrastructure and related processes
• Implement government-specific frameworks for PHC Global’s cloud-hosted software, such as FedRAMP and the Department of Defense (DoD) Impact Levels (ILs) for cloud environments.
• Interact with customers to provide engineering solutions and support compliance activities (e.g., IATT, ATO) with potential travel to on-site interactions with the customer
• Lead internal IT and InfoSec activities

Senior Cloud Engineer

Systems Engineer

• Design, document, and oversee the implementation of the end-to-end software architecture for our biothreat intelligence platform.
• Lead technical design reviews, mentor engineers on best practices, and establish standards for coding, security, and performance across the organization.
• Architect scalable and efficient data processing pipelines to ingest, clean, and validate diverse structured and unstructured data sources.
• Design the infrastructure to support advanced AI/ML capabilities, including systems for Retrieval-Augmented Generation and deployment of forecasting and anomaly-detection models.
• Evaluate and select appropriate technologies, frameworks, and patterns to meet current and future needs.
• Define and govern the strategy for our cloud infrastructure, containerization with Docker and Kubernetes, CI/CD pipelines, and system monitoring.

Systems Architect

Machine Learning Engineer

• Develop and refine approaches to anomaly detection, correlation, forecasting, and modeling/simulation for biological threats
• Explore both traditional and novel techniques to reveal hidden patterns
• Develop RAG and Agentic AI systems for Biological Threat Detection
• Build pipelines to ingest, clean, and validate structured and unstructured data sources
• Containerize models and services with Docker and Kubernetes, automate deployment, and monitor model performance
• Collaborate with Epidemiologists to build domain specific LLM prompts
• Work directly with customers to understand their problem space, deploy AI/ML tools

Senior Cloud Engineer

Systems Architect

Senior AI/ML Engineer