Platform Engineer

You are a backend engineer at heart who has gone deep on infrastructure and platform work, and thrives in environments where the stakes are high and the problems are real:

• Strong software engineering background, ideally in backend systems, with deep infrastructure and platform know-how built on top of it
• Hands-on experience with Azure (required) and AWS
• Strong Kubernetes experience: deployment, scaling, observability, and reliability
• Solid understanding of cloud networking, IAM, and security best practices
• Experience building and maintaining CI/CD pipelines
• Comfortable with Python and scripting for automation
• Experience with observability tooling: Prometheus, Grafana, Datadog, or similar
• Autonomous, proactive, and serious about reliability

• Proficient with Pulumi (preferred) or Terraform for infrastructure as code

Nice to have

• Experience deploying software within customer cloud tenants or managed application patterns
• Familiarity with GxP, SOC 2, HIPAA, or other regulated industry compliance requirements
• Experience with multi-tenant SaaS infrastructure
• Pulumi experience specifically

We know that great candidates might not check every box. If you're excited about this role and believe you could contribute, we'd love to hear from you.

You will build and own the platform that makes Visium's products reliable, scalable, and secure across every customer environment we operate in. Our deployment model requires running software inside customer cloud tenants, which means you will be managing infrastructure across multiple regulated environments simultaneously, each with its own compliance and data residency requirements.

This is a hands-on, high-ownership role. You will work closely with the engineering team to build the core infrastructure abstractions everyone relies on, set reliability standards, and make sure we can scale without breaking things.

Key Responsibilities:

• Design, deploy, and operate cloud infrastructure across Azure (primary) and AWS using Pulumi and Terraform
• Build and manage container orchestration environments for our agentic AI services, data pipelines, and API backends
• Architect and maintain our dual-deployment SaaS model, enabling secure, isolated deployments within customer cloud tenants
• Implement and enforce security controls, data residency requirements, and audit trail infrastructure aligned with GxP and SOC 2 requirements
• Build and maintain CI/CD pipelines that allow the engineering team to ship reliably and safely
• Set up and own observability: monitoring, alerting, logging, and tracing across all environments
• Contribute to incident response and lead post-incident learning
• Build developer-friendly infrastructure abstractions that reduce friction and improve engineering velocity

• Work with autonomous agents, orchestration runtimes, and knowledge retrieval systems
• Build technology that transforms how life-science experts research, decide, and create
• Shape architecture, culture, and direction from the very beginning
• Collaborate with world-class engineers and researchers who share a deep passion for AI
• Hybrid setup with high trust, autonomy, and flexibility
• Competitive compensation and the chance to be part of a company defining a new AI category