Axiomaticai

Senior Platform Engineer

Boston, Massachusetts, United States · Senior

Sponsorship not specifiedDetected 7 days ago
PythonBashFastAPIGitPostgreSQLRedisAWSGCPAzureCloud PlatformsKubernetesTerraformCI/CDGitHub ActionsJenkinsLinuxPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningDeep Learning

About the role

  • This role focuses primarily on infrastructure, CI/CD, and operations, with additional responsibilities for automation and tooling development.
  • This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions.
  • We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency.

Responsibilities

  • Implement blue-green deployments, canary releases, and progressive rollouts
  • Build automated deployment tooling and workflows
  • Optimize build and deployment performance
  • Manage artifact repositories and container registries
  • Design and operate multi-cloud infrastructure across Azure, AWS, and GCP
  • Manage Kubernetes clusters, container orchestration, and networking
  • Implement disaster recovery, backup strategies, and business continuity
  • Optimize cloud costs and resource utilization
  • Write and maintain Terraform modules for infrastructure provisioning
  • Implement GitOps workflows for infrastructure changes

Requirements

  • 7+ years of experience in Platform Engineering, Site Reliability Engineering, DevOps, or Infrastructure Engineering roles
  • Deep experience with CI/CD pipelines, release strategies, and production deployments at scale
  • If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you!

Nice to have

  • FinOps and cloud cost optimization
  • Compliance frameworks experience (SOC 2, ISO 27001, HIPAA, FedRAMP)
  • Database operations: PostgreSQL, Redis administration
  • Experience with FastAPI or similar frameworks for internal tools
  • Contributions to open-source infrastructure projects
  • Background in hardware or semiconductor industries

Skills

  • Kubernetes and container orchestration in production
  • Strong Linux/Unix administration and scripting (Bash, Python)
  • Python (preferred) or Go for automation, tooling, and operational scripts
  • CI/CD platforms: GitHub Actions, GitLab CI, Jenkins, or similar
  • Version control and GitOps practices
  • Strong problem-solving and debugging skills
  • Fluent in English (Spanish is a plus)
  • Nice-to-Have
  • Python proficiency for automation and internal tooling
  • Experience with cloud AI platforms (Vertex AI, Azure ML, AWS SageMaker)
  • Service mesh experience (Istio, Linkerd) or API gateways
  • Experience with GPU workloads and ML infrastructure

Benefits

  • Build dashboards for system health, performance, and business metrics

Company info

  • 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.
  • 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.
  • 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
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This listing is sourced directly from Axiomaticai's careers page and normalized into a canonical job model.