Senior Platform Engineer

Axiomatic AI; Singapore; Teletrabalho; SGD 180 000 - 250 000; Tempo integral

Resumo da oferta

Axiomatic AI is hiring a Senior Platform Engineer to own the reliability, deployment, and operational excellence of our AI platform. The role centers on infrastructure, CI/CD, and operations, with automation and tooling development in Python.

Lead deployment strategies, architect multi-cloud (Azure, AWS, GCP) and on‑prem deployments, manage IaC with Terraform, and build comprehensive observability while implementing security controls and governance.

Qualificações

• 7+ years in Platform/SRE/DevOps or Infra roles.
• Deep experience with CI/CD pipelines and production deployments at scale.
• Hands-on multi-cloud (Azure, AWS; GCP a plus) and on-prem deployments.

Responsabilidades

• Design and implement deployment pipelines for multi-environment releases.
• Own deployment lifecycle: build, test, release, rollback strategies.
• Manage multi-cloud and on-prem infrastructure with IaC (Terraform).
• Build observability: monitoring, logging, metrics, alerting.
• Enforce security controls, data governance, and compliance.
• Develop automation tools and APIs (Python) for operations.
• Ensure reliability, performance, and scalability; lead incident response.

Conhecimentos

Deployment strategies

CI/CD pipelines

Multi-cloud infra

Terraform

Observability

Security mindset

Python scripting

Kubernetes

Linux system administration

GitOps

Ferramentas

Terraform

Kubernetes

Prometheus

Grafana

Datadog

GitHub Actions

GitLab CI

Jenkins

Descrição da oferta de emprego

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 itemsBuild and maintain incident response playbooks
• Improve system resilience and failure modes
• 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)
• 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
• 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
• Primary location:Open to Singapore or Japan

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.