Platform Engineer

About Us Regulatory submissions that take months.Deviation reports that pile up on QA desks.Pharmaceutical teams spending their best hours on documentation instead of science.We are building the AI systems that change this.Visium is an enterprise AI company with deep roots in life sciences.Our two products, Scribe and Devin, are purpose?built for pharma teams operating in GxP?regulated environments, and are gaining traction with leading life sciences organizations across Europe.Scribe automates the drafting of regulatory documents, keeping human experts in control at every step.Devin handles deviation management end to end, from event capture to root cause analysis and corrective action generation.RoleYou 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 ResponsibilitiesDesign, deploy, and operate cloud infrastructure across Azure (primary) and AWS using Pulumi and TerraformBuild and manage container orchestration environments for our agentic AI services, data pipelines, and API backendsArchitect and maintain our dual?deployment SaaS model, enabling secure, isolated deployments within customer cloud tenantsImplement and enforce security controls, data residency requirements, and audit trail infrastructure aligned with GxP and SOC 2 requirementsBuild and maintain CI/CD pipelines that allow the engineering team to ship reliably and safelySet up and own observability: monitoring, alerting, logging, and tracing across all environmentsContribute to incident response and lead post?incident learningBuild developer?friendly infrastructure abstractions that reduce friction and improve engineering velocityRequirementsStrong software engineering background, ideally in backend systems, with deep infrastructure and platform know?how built on top of itHands?on experience with Azure (required) and AWSProficient with Pulumi (preferred) or Terraform for infrastructure as codeStrong Kubernetes experience: deployment, scaling, observability, and reliabilitySolid understanding of cloud networking, IAM, and security best practicesExperience building and maintaining CI/CD pipelinesComfortable with Python and scripting for automationExperience with observability tooling: Prometheus, Grafana, Datadog, or similarAutonomous, proactive, and serious about reliabilityNice to haveExperience deploying software within customer cloud tenants or managed application patternsFamiliarity with GxP, SOC 2, HIPAA, or other regulated industry compliance requirementsExperience with multi?tenant SaaS infrastructurePulumi experience specificallyWe 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.BenefitsWhat we offerA competitive compensation packageA flexible working culture because your work?life balance matters to usA position that enables you to have an impact on 1’000s of people, and the whole company’s growthAn international, knowledgeable, and passionate team with a strong collaborative mindsetEmployee Stock Ownership PlanWhy Join UsWork with autonomous agents, orchestration runtimes, and knowledge retrieval systemsBuild technology that transforms how life?science experts research, decide, and createShape architecture, culture, and direction from the very beginningCollaborate with world?class engineers and researchers who share a deep passion for AIHybrid setup with high trust, autonomy, and flexibilityCompetitive compensation and the chance to be part of a company defining a new AI category#J-*****-Ljbffr

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

What we offer A competitive compensation package A flexible working culture because your work?life balance matters to us A position that enables you to have an impact on 1’000s of people, and the whole company’s growth An international, knowledgeable, and passionate team with a strong collaborative mindset Employee Stock Ownership Plan Why Join Us 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 #J-*****-Ljbffr