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 GitOps 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

Collaboration

Partner with engineering teams on deployment strategies and architecture

Work with security team on compliance and governance

Mentor engineers on operational best practices

Document systems, procedures, and runbooks

Key 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)

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

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

Work model & location expectations:

Team work model:
Hybrid. Open to Remote

Primary location:
Preferible Timezone EU

On-site expectations:This role can be hybrid or remote. For hybrid arrangements, we would expect ~2 days per week in the office (with flexibility). Occasional travel to our Barcelona or Boston office may be required if remote.

Hiring Manager note:Given that a significant portion of the team works remotely, we are open to flexible working arrangements, including hybrid or fully remote options depending on location and team needs.

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!

Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic-AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn’t perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.