Senior Platform Engineer (AI)

Location: Remote; open to candidates in Singapore or Japan

Company

hirify.global develops verifiable and interpretable AI systems combining deep learning, formal logic, and physics-based modeling for scientific and engineering workflows, with a focus on semiconductor and photonic hardware development.

What you will do

• Lead deployment strategies and CI/CD pipelines across development, staging, and production environments, including blue-green, canary, progressive rollout, zero-downtime, and rollback capabilities.
• Design and operate multi-cloud infrastructure across Azure, AWS, and GCP, as well as Linux-based on-premise deployments for enterprise customers.
• Manage Kubernetes clusters, container orchestration, networking, disaster recovery, backups, business continuity, and cloud resource utilization.
• Build infrastructure as code with Terraform and GitOps workflows for reproducible provisioning, scaling, and operations.
• Develop monitoring, logging, alerting, dashboards, distributed tracing, capacity planning, and SLO-driven reliability improvements.
• Lead security, compliance, automation, incident response, postmortems, runbooks, and collaboration with engineering and security teams.

Requirements

• 7+ years of experience in Platform Engineering, Site Reliability Engineering, DevOps, or Infrastructure Engineering.
• Deep experience with CI/CD pipelines, release strategies, and production deployments at scale.
• Hands-on experience with Azure and AWS required; GCP experience is a plus.
• Experience with Linux system administration, bare-metal provisioning, networking, on-premise deployments, and production Kubernetes/container orchestration.
• Deep experience writing and maintaining Terraform infrastructure-as-code modules, GitOps practices, and version-controlled infrastructure.
• Proven experience building monitoring, alerting, metrics, logging, and observability platforms.
• Experience implementing security controls, best practices, identity and secrets management, network policies, vulnerability remediation, data governance, and privacy requirements.
• Python or Go for automation, tooling, APIs, and operational scripts; strong Linux/Unix administration and Bash/Python scripting.
• Experience with GitHub Actions, GitLab CI, Jenkins, or similar CI/CD platforms, plus strong problem-solving and debugging skills.
• Fluent English required; Spanish is a plus.

Nice to have

• Cloud AI platforms such as Vertex AI, Azure ML, or AWS SageMaker; GPU workloads and ML infrastructure.
• Service mesh or API gateway experience, including Istio or Linkerd.
• FinOps and cloud cost optimization.
• Compliance frameworks such as SOC 2, ISO 27001, HIPAA, or FedRAMP.
• PostgreSQL or Redis administration and FastAPI or similar frameworks for internal tools.
• Security certification such as CISSP, CEH, AWS Security Specialty, or Azure Security Specialty.
• Open-source infrastructure contributions or experience in hardware and semiconductor industries.

Culture & Benefits

• Remote work model with the primary location open to Singapore or Japan.
• Work on AI systems for scientific and engineering applications under the 30×30 mission to improve semiconductor and photonic hardware development.
• Collaborate with a global team of engineers and AI specialists on interpretable and verifiable AI architectures.
• Participate in on-call rotation, incident response, blameless postmortems, and continuous reliability improvement.