Platform Solutions Engineer
Mithrl
| Company | Mithrl |
| Category | Engineering |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 Dec 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
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 a Platform Solutions Engineer who will serve as the technical bridge between Mithrl’s platform and our customers. This role requires a rare combination of skills. You must be able to architect solutions for complex customer environments and also own DevOps responsibilities that ensure secure, scalable and reliable deployments.
You will design and implement integrations, advise customers on best practices for using Mithrl within their R&D workflows, and collaborate with internal teams to ensure smooth onboarding and deployment. At the same time, you will build and maintain the cloud infrastructure, CI systems, monitoring, and automation that keep Mithrl running at scale.
If you enjoy combining customer facing problem solving with deep engineering and DevOps work, this role provides a unique opportunity to shape the technical foundation of Mithrl as we grow.
WHAT YOU WILL DO
- Architect technical solutions for customers who integrate Mithrl into their cloud and on-prem environments
- Work closely with AEs, customer success, and scientific users to understand customer workflows and design scalable deployment approaches
- Build and maintain infrastructure for secure and reliable deployments in AWS, including compute environments, networking, container orchestration, and storage
- Manage and improve CI pipelines, automated testing environments, and release processes
- Build monitoring, logging, and alerting systems that give engineering and customer success clear visibility into system health
- Implement automation for provisioning, configuration management, and environment setup
- Support API integration, authentication workflows, and secure data movement between customer systems and Mithrl
- Troubleshoot deployment issues and serve as the technical point of contact for complex customer setups
- Work with engineering teams to ensure that platform features align with customer infrastructure needs
- Contribute to documentation, architectural guidelines, and internal playbooks for deployment and integration
WHAT YOU BRING
Required Qualifications
- Strong experience in both solution architecture and DevOps or platform engineering
- Deep knowledge of AWS services such as EC2, ECS, EKS, S3, IAM, Batch, Lambda, and VPC networking
- Experience designing and deploying scalable, secure cloud architectures for enterprise customers
- Proficiency with infrastructure as code tools such as Terraform or CloudFormation
- Experience with CI systems, automated testing, and release pipelines
- Strong understanding of container technologies and orchestration systems such as Docker and Kubernetes
- Ability to build monitoring, logging, and alerting systems using modern tooling
- Experience solving complex customer integration problems with empathy and clarity
- Strong communication skills and comfort working directly with customers and internal stakeholders
- Experience supporting technical products used by scientists or enterprise teams
Nice to Have
- Experience in tech bio, computational platforms, or scientific data environments
- Familiarity with security best practices for regulated data or enterprise environments
- Experience integrating API based workflows or custom data flows
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