Senior Platform Engineer

About us:

Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.

Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.

We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.

Position Overview

As a Senior Platform Engineer at Axiomatic, you will own the reliability, deployment, and operational excellence of our AI platform. This role focuses primarily on infrastructure, CI/CD, and operations, with additional responsibilities for automation and tooling development.

You will:

• Lead deployment strategies and CI/CD pipelines across multiple environments
• Architect and maintain multi-cloud infrastructure (Azure, AWS, GCP) and on-premise deployments
• Own infrastructure as code using Terraform to automate provisioning and configuration
• Build comprehensive observability systems: monitoring, metrics, logging, and alerting
• Implement security controls, compliance frameworks, and data governance policies
• Develop automation tools, APIs, and scripts (Python) to improve operational efficiency
• Ensure system reliability, performance, and scalability
• Drive incident response, postmortems, and continuous improvement
• Troubleshoot infrastructure and application issues across multiple environments.

Your mission

Deployment & CI/CD

• Design and implement deployment pipelines for multi-environment releases (dev, staging, production)
• Own the full deployment lifecycle: build, test, release, and rollback strategies
• Implement blue-green deployments, canary releases, and progressive rollouts
• Build automated deployment tooling and workflows
• Ensure zero-downtime deployments and rollback capabilities
• Optimize build and deployment performance
• Manage artifact repositories and container registries

Infrastructure & Cloud Operations

• Design and operate multi-cloud infrastructure across Azure, AWS, and GCP
• Architect and deploy on-premise solutions for enterprise customers (Linux-based)
• Manage Kubernetes clusters, container orchestration, and networking
• Implement disaster recovery, backup strategies, and business continuity
• Optimize cloud costs and resource utilization
• Define and track SLIs, SLOs, and error budgets for critical services

Infrastructure as Code

• Write and maintain Terraform modules for infrastructure provisioning
• Implement Git Ops workflows for infrastructure changes
• Automate infrastructure scaling, updates, and operations
• Ensure reproducible and version-controlled infrastructure

Observability & Monitoring

• Design comprehensive monitoring, logging, and alerting (Prometheus, Grafana, Datadog, or similar)
• Build dashboards for system health, performance, and business metrics
• Implement distributed tracing for microservices
• Conduct capacity planning and performance analysis
• Drive reliability improvements through data-driven insights

Security & Compliance

• Implement security best practices: identity management, secrets management, network policies
• Work towards or maintain security certifications (SOC 2, ISO 27001, or similar)
• Conduct security audits and vulnerability remediation
• Implement data governance policies for AI pipelines and user data
• Ensure compliance with data privacy regulations (GDPR, CCPA)

Automation & Tooling Development

• Write automation scripts and tools in Python for operational tasks
• Build internal tooling for deployments, monitoring, and incident response
• Develop runbooks, automation, and self-healing systems
• Create APIs for infrastructure operations when needed
• Maintain high code quality and testing standards for tooling

Reliability & Incident Management

• Participate in on-call rotation and lead incident response
• Conduct blameless postmortems and drive action items
• Build and maintain incident response playbooks
• Improve system resilience and failure modes

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