Job Opportunities API

ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: - 12X year-over-year revenue growth - Trusted by leading biotechs and big pharma across three continents - Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring Forward Deployed Engineers to partner directly with our customers and help them deploy, integrate, and operationalize the Mithrl platform inside their private cloud environments. FDEs sit at the intersection of engineering, customer success, and solutions architecture. You will work hands-on with customer IT, security, data, and R&D teams to set up secure cloud environments, configure integrations, troubleshoot technical challenges, and ensure Mithrl becomes a seamless part of their discovery workflow. This role requires strong software engineering fundamentals, deep comfort with cloud infrastructure, and excellent problem solving skills. You will work very closely with customer teams to design deployment architectures, automate provisioning steps, validate platform functionality in their environments, and ensure that their scientific teams can begin using Mithrl without friction. If you enjoy solving hard and novel problems in real customer environments, working across cloud infrastructure and product engineering, and being part of the customer’s journey from day one, this role is an ideal match. WHAT YOU WILL DO - Deploy Mithrl into customer private clouds including AWS, Azure, or GCP - Work directly with customer IT and security teams to configure networking, IAM, private subnets, secure VPCs, and data access patterns - Build integrations between customer systems and Mithrl APIs for data ingestion or workflow automation - Validate deployed environments through functional, performance, and scientific smoke tests - Troubleshoot infrastructure, deployment, and connectivity issues in real customer environments - Implement automation and internal tools that make deployments faster, more reliable, and more repeatable - Serve as a technical advisor to customers during onboarding and through early product adoption - Document deployment guidelines, architecture templates, and integration playbooks - Collaborate with Mithrl platform engineering, DevOps, and ML teams to resolve issues and drive improvements - Ensure that deployments meet customer security standards and internal best practices WHAT YOU BRING Required Qualifications - Strong experience with cloud environments such as AWS, Azure, or GCP - Experience configuring VPCs, IAM, networking, private endpoints, and secure infrastructure setups - Software engineering fundamentals and proficiency in Python or a similar language - Experience with container technologies and orchestrators such as Docker, ECS, EKS, or Kubernetes - Ability to diagnose and resolve issues involving networking, storage, compute, and configuration - Experience working directly with external stakeholders in highly technical environments - Excellent problem solving skills and the ability to adapt quickly in complex customer deployments - Strong communication skills and ability to build trust with customer teams Nice to Have - Experience integrating ML or data heavy platforms into enterprise environments - Experience with Terraform or CloudFormation - Experience with secure data environments, regulated R&D teams, or biotech customers - Familiarity with scientific computing or R&D workflow tools - Experience writing internal tools, automation scripts