[Remote] Senior Engineer - Platform Integration

Note: The job is a remote job and is open to candidates in USA. Core42 is a leader in AI-powered cloud and digital infrastructure, driving transformative technology solutions globally. They are seeking a Senior Engineer - Platform Integration to design, build, and operate core GPUaaS control plane services while collaborating with infrastructure teams to manage GPU resources at scale.

Responsibilities

• Design, build, and operate core GPUaaS control plane services
• Develop backend APIs and microservices (Python, Go, or Node.js)
• Integrate deeply with Kubernetes APIs for provisioning, scheduling, and multitenancy
• Build and maintain authentication, authorization, and identity systems (OAuth2, SSO, RBAC, LDAP)
• Design and implement usage tracking and billing systems with strong correctness guarantees
• Design PostgreSQL schemas optimized for scale, auditing, and reliability
• Build CI/CD pipelines and deployment automation for platform services
• Collaborate with infrastructure teams to surface GPU and system telemetry
• Own systems in production including reliability, failure modes, and performance

Skills

• 4–7 years of software engineering experience in backend, platform, or infrastructure roles
• Strong backend engineering experience in Python (FastAPI), Go, or Node.js
• Hands-on experience with Kubernetes in production environments
• Experience building and operating REST and/or gRPC APIs
• Strong understanding of microservices architecture and cloud-native systems
• Experience with PostgreSQL schema design, performance, and migrations
• Familiarity with authentication/authorization systems (OAuth2, SAML, JWT, RBAC)
• Experience working on systems that require high reliability and correctness under failure conditions
• Ability to operate independently in ambiguous or greenfield environments
• Experience with GPU infrastructure, HPC environments, or AI/ML platforms
• Experience with Kubernetes controllers, operators, Helm, or cluster lifecycle tooling
• Exposure to Slurm or hybrid Kubernetes/HPC scheduling systems
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry)
• Experience building developer platforms or internal infrastructure tools
• Familiarity with MLOps tooling (Kubeflow, MLflow, PyTorch pipelines)
• Experience with GitOps workflows (ArgoCD, Flux, etc.)
• Experience working at cloud providers or infrastructure-heavy SaaS companies
• Exposure to distributed scheduling systems or resource orchestration platforms
• Experience with high-scale multi-tenant systems

Benefits

• Bonus and benefits on top
• Reasonable accommodations to qualified individuals with disabilities throughout the application and employment process

Company Overview