Note: The job is a remote job and is open to candidates in USA. Nscale is a GPU cloud engineered for AI, providing high-performance infrastructure for AI start-ups and enterprise customers. They are seeking a Senior Cloud Native Platform Engineer to build and improve cloud-native platform foundations that support AI applications and services, ensuring reliability and scalability through hands-on engineering and collaboration with internal teams.
Responsibilities
- Build and improve shared cloud-native platform capabilities used by internal engineering teams to run AI applications and services
- Own significant parts of the platform area, including Kubernetes cluster operations, workload runtime configuration, deployment workflows, observability foundations, or environment automation
- Improve the reliability, scalability, and supportability of platform services through practical engineering and operational enhancements
- Develop automation, tooling, and configuration that reduce manual effort, improve consistency, and make the platform easier to use and operate
- Apply software engineering where it creates leverage, including scripts, services, CI/CD automation, operational tooling, and platform integrations
- Improve incident prevention, detection, response, and recovery across the platform areas you support
- Build and refine observability for platform services, including metrics, logs, tracing, dashboards, alerts, and other useful operational signals
- Strengthen rollout safety, capacity awareness, failure handling, and recovery procedures for production environments
- Debug and resolve complex issues spanning Kubernetes, Linux, networking, storage, workload runtime behaviour, and cloud or datacentre infrastructure dependencies
- Enhance operational playbooks, runbooks, and engineering practices to reduce toil and increase service resilience
- Contribute to design discussions, code reviews, and operational standards within the platform engineering team
- Collaborate with software engineering, infrastructure, and SRE teams to deliver platform capabilities that are practical, supportable, and aligned to operational needs
- Define sensible defaults, paved roads, and supportable patterns for service deployment and runtime operations
- Mentor less experienced engineers in platform engineering fundamentals, operational judgement, and good automation practices
Skills
- Strong hands-on experience operating and improving Kubernetes-based platforms in production
- Solid experience with infrastructure automation, CI/CD, configuration management, or GitOps-style workflows
- Strong understanding of reliability engineering principles, including observability, incident response, failure analysis, and operational readiness
- Experience writing production-quality automation, tooling, or backend code in Go, Python, Bash, or similar languages
- Good Linux fundamentals, including processes, filesystems, cgroups, service behaviour, and system debugging
- Good networking fundamentals, including TCP/IP, DNS, routing, load balancing, and container or overlay networking concepts
- Experience debugging complex production issues across multiple system layers
- Ability to work independently on substantial technical problems while collaborating effectively with adjacent teams
- Experience mentoring or supporting less experienced engineers through practical technical guidance
Benefits
- Bonus
- Equity
- Commission programs
- Medical
- Dental
- Vision
- Flexible paid time off
- Parental leave
- Retirement plan participation
- Performance reviews every 12 months
- Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
Company Overview