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.

Requirements

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.

Benefits

At datma we strive to ensure that our team, their families, and their loved ones are taken care of so that our people can do the best work of their lives. Our benefits are focused on our team’s physical, financial, and emotional well-being. To this end, we provide healthcare benefits including vision and dental, as well as retirement, PTO, family leave and many other options to support our team. We believe firmly in everyone’s right to express their authentic self. We strive to show compassion and caring for others throughout their work experience with us. For more details, please see our website or talk with your hiring manager.

datma envisions a deeply connected world where people and technology seamlessly explore, share and unlock the value of healthcare data facilitating discovery, and improving outcomes for a resilient future.

In order to fulfill this vision, datma has created a distributed framework for integrating genomic information with imaging, pathology and clinical history to inform treatment options and accelerate research.

Our datma.BASE platform ingests, aggregates, and harmonizes complex healthcare data at scale, effectively breaking data silos. datma’s platform was purpose-built from inception for genomic, imaging, and other healthcare data types, ensuring cost-effective storage and scalability while powering rapid analysis. This approach allows us to deliver critical insights from multimodal data, paving the way for groundbreaking discoveries, real-world evidence, and knowledge-based enlightenment.

Leveraging the power of our datma.BASE, datma.360, our fully customizable data viewing and analytics platform, provides actionable insights from healthcare data. Drawing from both internal and external data sources, and embedded seamlessly within your EMR or other systems, datma.360 translates data to clinical action. Already deployed across multiple health systems, this technology is making a pivotal difference across clinical disciplines from oncology to cardiology.

Our federated solutions enable data networking and analysis at scale, accelerating research and building a robust infrastructure for clinical data interpretation. Through datma.FED, all queries can be shared and cohorts built while the underlying data remains securely in the tenancy of the owners. Our technology for causal AI builds on this structure and enables domain experts to build inferences and models mechanistically.Our platform is currently in the hands of key clinical and research luminaries across the world. Through these partnerships, we are applying this technology to inform treatment options in cancer care and across the expanding range of precision medicine.

datma values our people and the innovations they bring daily to this important work. We care passionately about our technology and believe that what we do will improve human health far into the future.

datma is an early, commercial stage, venture backed software company led by investments from Transformation Capital and Generator Ventures.