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Infrastructure Engineer at datma. At datma, we believe that the tools we have today are insufficient to extract the tremendous latent value sitting in healthcare data. . Healthcare data is growing exponentially in scale and complexity. To solve this problem, datma has developed a platform technology and associated software capable of ingesting, aggregating, harmonizing, and visualizing heterogeneous, multimodal healthcare data. . The company provides the tools necessary to analyze these data at the individual or cohort level and at a single site or within a federation of sites. . With deep expertise in molecular medicine, computation, data sciences, systems, and software, we simplify the application of complex data to real-world health challenges.. datma is an early stage company backed by Transformation Capital and Generator Ventures.. As part of datma’s continued growth, . we're seeking a versatile engineer to bridge our DevOps and data engineering functions, responsible for building and maintaining scalable data infrastructure while ensuring reliable deployment and operations of data systems. Candidates that have primary experience in DevOps with an aptitude for Data Engineering, or vice versa, are encouraged to apply. . Key Responsibilities:. DevOps Functions:. . Architect, deploy, and manage Kubernetes clusters running in customer cloud tenancies (AWS, Azure, GCP).. . Create robust infrastructure-as-code templates (e.g., Terraform, Helm) for repeatable deployments.. . Implement scaling, monitoring, disaster recovery strategies, and observability solutions (metrics, logging, tracing) for proactive infrastructure management.. . Automate deployment processes for data pipelines, ML models, and analytics applications - including automated testing - to improve release velocity and stability.. . Manage containerization and orchestration of data services and workloads using Docker and Kubernetes. . . Troubleshoot performance and reliability issues across environments.. . Evaluate and recommend infrastructure solutions by conducting cost-benefit analyses comparing open source vs. cloud-native alternatives.. . Implement and maintain security controls aligned with HIPAA and HITRUST frameworks. Partner with compliance teams to ensure infrastructure supports ongoing certification and audit requirements.. . Configure secure networking, identity and access management (IAM), encryption (in transit and at rest), and audit logging.. . . Data Engineering Functions:. . Build infrastructure to host both in-house AI models and integrate with external AI services (e.g., GPT-5 via OpenAI APIs).. . Optimize data pipelines and storage for AI training and inference workloads. Support GPU-based compute environments for ML workloads when required.. . Design and manage scalable API gateways and authentication mechanisms for external data consumers.. . . Ensure API infrastructure can handle high-throughput, low-latency access to sensitive healthcare datasets.. . Collaborate with the data/applications team to develop and optimize data processing pipelines, using data orchestration tools like Prefect or cloud-native solutions, and support diverse client integrations (Python, R, SQL, BI tools, etc.).. . Technical Requirements:. . 3+ years of experience in cloud infrastructure engineering, preferably in a regulated data environment.. . Deep expertise with Kubernetes and container orchestration in production.. . Strong proficiency in Infrastructure as Code tools (Terraform, Helm, Ansible, etc.).. . Experience with cloud security best practices and regulatory frameworks (HIPAA, SOC 2, or HITRUST).. . Hands-on experience with CI/CD pipelines and monitoring tools (e.g., Prometheus, Grafana, ELK).. . Proficiency in Python and/or Go, SQL, and bash scripting.. . Understanding of data modeling, warehousing concepts, and data pipeline orchestration tools.. . . Preferred Qualifications:. . Experience deploying in customer-owned cloud environments.. . Familiarity with secure API design and management (OAuth2, JWT, API gateways).. . Knowledge of machine learning infrastructure and MLOps practices.. . Background involving healthcare data and associated interoperability standards (FHIR, HL7).. . Prior work supporting HITRUST certification efforts.. . Experience with multi-tenant architecture design.. . Company Location: United States.