Senior Infrastructure Engineer- Compute

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Cloud Computing, Software DevelopmentIndustries

Requirements

Candidates must have significant experience designing and operating Kubernetes clusters and workloads in production. They should also possess hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and proficiency in Infrastructure as Code tools like Terraform. Programming or scripting ability in Python, Go, Rust, or Bash is required, along with excellent communication skills and experience working asynchronously on a fully remote, distributed team. Experience building or running multi-tenant Kubernetes platforms at scale, deep expertise in Kubernetes internals, troubleshooting, or performance tuning, prior experience with networking, service meshes, or container security, and experience operating infrastructure across multiple clouds are considered advantageous.

Responsibilities

The Senior Infrastructure Engineer will design, operate, and scale Kubernetes-based compute infrastructure across multiple tenancy models and public clouds (AWS, Azure, and GCP). They will deepen the team's Kubernetes and container orchestration expertise to enhance platform scalability, security, and developer experience. This role involves partnering with Architecture, Release Engineering, and Security teams to provide a seamless platform for application teams, leveraging tools such as Terraform, Kubernetes, Helm, Argo CD, Python, Go, Bash, and Datadog. Additionally, the engineer will participate in an on-call rotation to improve reliability and reduce operational toil.

Skills

Compute

Kubernetes

AWS

Azure

GCP

Infrastructure

Automation

Self-service

Tooling

Processes

Cell-based architecture

Observability

dbt Labs

Cloud-based data management platform for analytics

About dbt Labs

GetDBT.com is a cloud-based data management platform that helps companies streamline their data development processes. It allows users to write business logic more efficiently, enhances code reusability, and ensures data quality through testing and governance features. Unlike its competitors, GetDBT.com focuses on scalability and complexity, making it suitable for businesses at various stages of data maturity. The company's goal is to empower organizations to manage their data effectively while providing reliable service through a subscription model.

Philadelphia, PennsylvaniaHeadquarters

2016Year Founded

$403.1MTotal Funding

SERIES_DCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Unlimited Paid Time Off

401(k) Company Match

401(k) Retirement Plan

Health Insurance

Paid Parental Leave

Wellness Program

Home Office Stipend

Risks

Increased competition from Fivetran's integration may lead to customer attrition.

Dbt Mesh's complexity could cause integration challenges for existing users.

New executive appointments may lead to strategic shifts misaligned with customer expectations.

Differentiation

Dbt Labs offers a unique open-source analytics engineering tool for data transformation workflows.

The platform supports SQL-based data modeling, appealing to data analysts and engineers.

Dbt Mesh architecture allows cross-project model referencing, enhancing scalability for complex data needs.

Upsides

Collaboration with Fivetran enhances platform capabilities, attracting more enterprise clients.

Mark Porter's appointment as CTO could drive technological advancements and innovation.

Recent dbt Cloud enhancements improve collaboration, appealing to large teams and enterprises.

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