Sr. Infrastructure Engineer
Platform ScienceSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Cloud Computing, Enterprise SoftwareIndustries
Requirements
Candidates should possess 7+ years of experience in platform, backend, or infrastructure engineering roles, with deep hands-on experience with Kubernetes internals, deployment patterns, and operational tooling. A strong understanding of networking in containerized environments, including DNS, load balancing, and traffic routing is required, alongside practical experience implementing and supporting event-driven systems at scale. Familiarity with observability tooling like Prometheus, Grafana, OpenTelemetry, and structured logging practices is also necessary, as is working knowledge of infrastructure-as-code tools (Terraform, Helm) and CI/CD pipelines.
Responsibilities
The Staff Cloud Availability Platform Engineer will design, deploy, and operate robust Kubernetes environments and scalable infrastructure systems, implementing and optimizing the container and host networking stack, including CNI plugins, network policies, and service mesh integrations. They will also build and evolve event-driven platforms using Kafka, NATS, or cloud-native pub/sub systems, develop and maintain API interfaces (REST/gRPC) to power internal infrastructure services and developer tooling, drive improvements in system reliability, scalability, and observability through automation, instrumentation, and best practices, and collaborate closely with SREs, security engineers, and backend developers to deliver infrastructure with strong operational maturity, contributing to and maintaining infrastructure-as-code and CI/CD pipelines for consistent, automated deployments.
Skills
Kubernetes
CNI
Network Policies
Service Mesh
Kafka
NATS
Pub/Sub
REST
gRPC
Automation
Instrumentation
Crusoe
Utilizes wasted energy for computing power
About Crusoe
Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.
Denver, ColoradoHeadquarters
2018Year Founded
$1,082.2MTotal Funding
SERIES_DCompany Stage
Energy, AI & Machine LearningIndustries
201-500Employees