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PhysicsX · 7 hours ago

Senior Platform Engineer

Manhattan, NY

Full-time

Hybrid

Senior Level

$150K/yr - $240K/yr

PhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. The Senior Platform Engineer will play a crucial role in managing cloud infrastructure and enhancing the internal developer platform, collaborating with various teams to optimize engineering workflows.

Artificial Intelligence (AI)Information TechnologyMachine LearningSemiconductorSimulationSoftware

No H1B

U.S. Citizen Only

Responsibilities

Manage day-to-day operations of our cloud infrastructure, primarily on AWS, with increasing work across Microsoft Azure, Google Cloud Platform, and other cloud providers

Design, implement, and manage scalable Kubernetes architectures with a strong focus on multi-tenancy, ensuring efficiency and security across our cloud infrastructure and internal developer platform

Collaborate across teams to understand their needs and facilitate the deployment and end-to-end management of applications across Kubernetes clusters

Utilise tools such as Helm, Terraform, and GitHub Actions to automate infrastructure provisioning, configuration management, and continuous deployment processes

Enhance our internal developer platform, working closely with software engineers to identify pain points and deliver outcomes to improve their workflows

Architect and continually enhance our cloud infrastructure, implementing best practices to streamline and simplify operation

Qualification

KubernetesAWSTerraformAzureGoogle Cloud PlatformCloud networkingDistributed systemsPythonGoOpenTelemetryGrafanaPrometheusCloud-native technologies

Required

Prior experience as a Platform Engineer, DevOps Engineer, or in a similar role with a focus on internal developer platforms or infrastructure-as-as-service

Strong proficiency in Kubernetes, including multi-tenancy architectures, security by design, and experience deploying and managing Kubernetes clusters in production environments

Strong collaboration and communication skills, with the ability to work effectively across diverse teams

Experience in building and troubleshooting large-scale distributed systems and infrastructure on cloud service providers

Experience using tools like Helm, Terraform, Crossplane, etc

Experience in cloud networking fundamentals

Familiarity with the Kubernetes operator pattern and its advantages and disadvantages

Familiarity with cloud service providers (AWS, Azure, GCP, etc.) and their respective services, understanding the balance between Kubernetes-native services and cloud-based services

Familiarity with one or more programming languages, such as Python or Go

Familiarity with observability tools such as OpenTelemetry, Grafana, and Prometheus

Familiarity with using and provisioning GPUs in a cloud environment

Enthusiasm in using modern, cloud-native technologies, such as the CNCF landscape projects and products