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.

Responsibilities

• 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

Requirements

• 7+ years of experience in Platform Engineering, Site Reliability Engineering, DevOps, or Infrastructure Engineering roles
• Deployment expert: Deep experience with CI/CD pipelines, release strategies, and production deployments at scale
• Multi-cloud expertise: Hands-on experience with Azure and AWS required (GCP is a plus)
• On-premise deployment experience: Linux system administration, bare-metal provisioning, networking
• Terraform expert: Deep experience writing and maintaining infrastructure as code
• Observability systems: Proven track record building monitoring, alerting, and metrics platforms
• Security mindset: Experience implementing security controls and best practices. Security certification preferred (CISSP, CEH, AWS/Azure Security Specialty, or similar)
• Data governance: Understanding of data privacy, residency requirements, and governance frameworks
• Backend/scripting skills: Python (preferred) or Go for automation, tooling, and operational scripts
• Kubernetes and container orchestration in production
• Strong Linux/Unix administration and scripting (Bash, Python)
• CICD 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
• 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

Work Model & Location Expectations

Team work model: Hybrid
Primary location: Boston, US

Why Join Us?

At Axiomatic_AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30X30 mission. This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions. Consequently, see those ideas commercialized into products that will shape the future of hardware and computing, while collaborating with a global team of engineers and AI specialists. We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency. If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you!