Base Salary
$150k - $200k/yr
Responsibilities
- Deploy Mithrl into customer private clouds using AWS, Azure, or GCP.
- Configure networking, IAM, private subnets, secure VPCs, and data access patterns with customer IT and security teams.
- Build integrations between customer systems and Mithrl APIs for data ingestion and workflow automation.
- Validate deployed environments through functional, performance, and scientific smoke tests.
- Troubleshoot infrastructure, deployment, and connectivity issues in customer environments.
- Implement automation and internal tools to make deployments faster, more reliable, and repeatable.
- Advise customers during onboarding and early product adoption.
- Document deployment guidelines, architecture templates, and integration playbooks.
- Collaborate with platform engineering, DevOps, and ML teams to resolve issues and improve the product.
- Ensure deployments meet customer security standards and internal best practices.
Requirements
- 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 networking, storage, compute, and configuration issues.
- Experience working directly with external stakeholders in highly technical environments.
- Excellent problem-solving, adaptability, communication, and customer relationship-building skills.
- Preferred experience integrating ML or data-heavy platforms into enterprise environments.
- Preferred experience with Terraform or CloudFormation.
- Preferred experience with secure data environments, regulated R&D teams, or biotech customers.
- Familiarity with scientific computing or R&D workflow tools is preferred.
- Preferred experience writing internal tools, automation scripts, or lightweight backend services.
Benefits
- Comprehensive PPO health coverage through Anthem, including medical, dental, and vision.
- 401(k) with top-tier plans.
- In-person role based in the company’s San Francisco office.
- High ownership and direct impact working with leading pharma and biotech organizations.
- Tight-knit, talent-dense team of engineers, scientists, and builders.
- Fast-paced environment shipping twice per week and iterating from user feedback.
Categories
About Mithrl
The scientific decision engine for R&D. Raw data → defensible decisions, faster. Pharma and biotech R&D often spend weeks, or even months, learning, coding, and troubleshooting discovery analysis pipelines. This slows research and diverts focus from the work that truly matters: discovery. Mithrl changes that. Using only natural language from the user, Mithrl AI builds custom workflows with full transparency and reproducibility for discovery data (omics and beyond), on-demand and in minutes, not weeks. Discovery researchers across therapeutic areas can instantly align, analyze, interpret, integrate, and iterate hypotheses for complex datasets without manual coding or repetitive setup. By automating these time-consuming processes, Mithrl empowers scientists to spend more time designing experiments, testing insights, and driving high-quality discoveries, including novel IP. From accelerating data analysis to uncovering novel targets and biomarkers, Mithrl is the Scientific Decision Engine that turns data into actionable breakthroughs. See Mithrl in action. Book a demo and transform your research today! Website: www.mithrl.com Follow us on social media: • LinkedIn: linkedin.com/company/mithrl-ai • X: x.com/mithrl_ai
