Forward Deployed Infrastructure Engineer  

Optura is healthcare’s AI orchestration platform. We help healthcare organizations transform disconnected AI pilots into a unified, enterprise-scale program that delivers measurable value. Our platform enables teams to design, execute, and monitor intelligent agents that drive automation, insights, and action—while providing the control and observability needed to scale safely. Built for real-world complexity, Optura supports multiple model providers, integrates seamlessly with existing infrastructure, and offers both SaaS and self-hosted options. Our mission: revolutionize how healthcare deploys and operationalizes AI in production.

We are seeking an Infrastructure & DevOps Forward Deployed Engineer to help customers successfully deploy, integrate, and operationalize Optura’s AI platform within complex enterprise environments. This is a highly hands-on, customer-facing role that blends cloud infrastructure, DevOps, and applied AI implementation. You will work directly with healthcare organizations including insurance, hospital systems, and healthtech companies to configure environments, deploy the platform, and build scalable, production-grade solutions. You will serve as a critical bridge between customers and internal product and engineering teams—bringing customer requirements to life while informing platform improvements. This role is ideal for someone who enjoys working across infrastructure and application layers, thrives in dynamic environments, and wants to have a direct impact on how AI is deployed in real-world healthcare settings.

What you’ll do:

• Partner with customer engineering and business teams to gather requirements and translate them into scalable infrastructure and platform solutions

• Lead deployment, configuration, and integration of Optura’s platform within customer cloud environments (primarily AWS)

• Build and manage cloud infrastructure, including Kubernetes clusters, containerized services, and networking configurations

• Develop and maintain Infrastructure-as-Code and CI/CD pipelines to support reliable, repeatable deployments

• Configure and optimize AI platform components, including orchestration, agent workflows, and retrieval-augmented generation (RAG) pipelines

• Build and deploy customer-specific AI use cases, applying software engineering best practices across the full development lifecycle

• Collaborate with product and engineering teams to communicate customer feedback and influence platform evolution

• Monitor system performance, analyze metrics, and continuously improve reliability, scalability, and cost efficiency

What we’re looking for:

• 4+ years of experience in cloud infrastructure, DevOps, or software engineering roles

• Hands-on experience with core cloud services across one or more major providers (AWS, GCP, and/or Azure). 

  • This includes compute and container orchestration platforms (EC2, Compute Engine, Virtual Machines, EKS, GKE, AKS), 

  • object storage solutions (S3, Cloud Storage, Blob Storage), 

  • identity and access management frameworks (AWS IAM, Cloud IAM, Microsoft Entra ID/Azure RBAC), 

  • managed relational database services (RDS, Cloud SQL, Azure SQL Database), 

  • and cloud monitoring and logging tools (CloudWatch, Cloud Monitoring/Logging, Azure Monitor). 

• Familiarity with the architectural differences and best practices across cloud platforms is a strong plus.

• Experience with Kubernetes, Docker, and containerized application deployment

• Experience building CI/CD pipelines and using Infrastructure-as-Code tools such as Terraform or CloudFormation

• Experience working in customer-facing technical roles such as forward deployed engineer, solutions engineer, or implementation engineer

What we would like to see:

• You’ve shipped end to end– you can own a feature from problem definition to production, with AI as a core tool in your workflow

• AI-native: you don’t use AI tools occasionally– they’re built into how you work 

• Experience deploying AI, machine learning, or data platforms in production environments

• Experience working in healthcare, healthtech, or other regulated industries (HIPAA, SOC2)

• Experience integrating enterprise systems within complex customer environments

• Proficiency in Python, JavaScript, or similar languages used for platform integration and development

• Experience with observability tools such as Prometheus, Grafana, or similar

Benefits at Optura:

We offer a competitive compensation and benefits package, including:

• Health, dental, and vision insurance

• Generous paid time off

• Opportunities for professional growth and development

Additional Information

• Location: Remote (U.S.-based)

• Travel: Occasional travel for customer engagements

Equal Employment Opportunity:

At Optura.AI, we’re not just building a product; we are intentionally building the team, culture, and equity we want to see in the tech world. That starts with recognizing that innovation thrives when diverse perspectives come together. Optura is an Equal Employment Opportunity Employer, period. We actively welcome and celebrate every candidate regardless of their race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information, or any other protected characteristic.

More than compliance, we are deeply committed to diversity and inclusion because it’s a non-negotiable part of our foundation. We believe a truly diverse and inclusive workplace is the engine for long-term professional growth and competitive business success, directly fueling our mission to innovate. As part of the Optura team, your voice will be heard, your contributions will directly matter to our trajectory, and your unique background and experiences won't just be celebrated—they will be a vital part of our success. Let's build something exceptional, together.