Job Description

This position may be filled at multiple levels depending on the candidate's experience and qualifications.

This is a greenfield engineering effort focused on defining how infrastructure is built and operated using code, APIs, and declarative systems, with reliability, observability, and repeatability designed in from the start.

Our approach emphasizes:

• Linux-first systems design
• Kubernetes as a core abstraction layer
• Infrastructure-as-code and GitOps workflows
• Open observability standards (Prometheus, OpenTelemetry)
• Distributed, software-defined storage and networking

Engineers on this team build and own foundational systems that applications across the organization rely on for secure, reliable operation.

Role Overview

This role will be responsible for designing, building, and operating the foundational infrastructure that powers the company's technology platform. This includes compute, storage, networking, and container infrastructure supporting enterprise applications, internal platforms, and hybrid cloud environments.

This role focuses on delivering reliable, scalable, and automated infrastructure platforms across data centers and cloud environments. Infrastructure engineers operate the foundational platforms that support modern workloads, including virtualization platforms, storage systems, networking, and container infrastructure such as Kubernetes clusters.

Responsibilities

Key Responsibilities

Infrastructure Engineering

• Design, deploy, and operate infrastructure platforms including compute, storage, networking, and container infrastructure
• Build and maintain scalable infrastructure across on-premises data centers and cloud environments
• Operate and support Kubernetes clusters and their underlying infrastructure
• Ensure high availability, reliability, and performance of infrastructure systems
• Support hybrid infrastructure environments and platform services that run on top of them

Automation & Infrastructure as Code

• Develop and maintain infrastructure automation using modern programming languages (Go, Python, Java)
• Implement infrastructure provisioning and configuration through infrastructure-as-code tools such as Terraform
• Standardize infrastructure deployment and lifecycle management
• Build tooling that improves operational efficiency and infrastructure reliability

Platform Integration

• Support infrastructure dependencies for container platforms and distributed systems
• Deploy, upgrade, and maintain Kubernetes clusters and related infrastructure components
• Operate infrastructure services including IaaS platforms and storage systems
• Collaborate with platform engineering teams supporting CI/CD, messaging, observability, and developer platforms

Observability & Reliability

• Implement monitoring and observability using Prometheus, Grafana, and OpenTelemetry
• Participate in incident response and root cause analysis
• Contribute to reliability improvements and operational maturity

Security & Access Management

• Implement infrastructure security best practices
• Support identity and access management and secrets management systems
• Collaborate with security teams to ensure infrastructure resilience and compliance

Qualifications

Bachelor's degree in management information systems (MIS), computer science, or related technical field; or equivalent work experience. (Typically, four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)

• Six years of experience in infrastructure, platform, or site reliability engineering roles for the level III
• Strong experience working with Linux systems and distributed infrastructure environments
• Proficiency in at least one modern programming language, such as Go, Python, or Java
• Experience automating storage provisioning, data protection, and lifecycle management using infrastructure-as-code or API-driven approaches
• Experience with software-defined or distributed storage architectures designed to run on commodity hardware
• Experience automating backup, restore, and recovery workflows to reduce manual intervention and operational risk

Core Technical Experience

Experience across several of the following areas:

• Linux systems and core infrastructure fundamentals
• Kubernetes and container orchestration platforms
• Infrastructure as code and declarative system design (e.g., Terraform, GitOps)
• Distributed systems and large-scale infrastructure environments
• Observability and monitoring using open-source tooling (e.g., Prometheus, Grafana, OpenTelemetry)
• Distributed storage systems and concepts (e.g., Ceph or similar technologies)
• Networking fundamentals in distributed and cloud-based environments
• API-driven infrastructure and automation systems
• Infrastructure security practices, including identity, access, and secrets management
• Hybrid infrastructure spanning on-premises data centers and cloud environments

Preferred Qualifications:

• Experience operating Kubernetes clusters at scale
• Experience with GitOps workflows such as ArgoCD or Flux
• Experience supporting streaming data platforms or messaging systems
• Experience with SQL, NoSQL, or graph databases
• Contributions to open-source infrastructure or platform projects