Cloud Platform Engineer at Abridge

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

Autonomous Driving, Machine LearningIndustries

Requirements

Experience in administering production K8s clusters
Understanding of the internal workings of K8s
Experience using K8s at a user level, with the ability to deploy applications and diagnose issues
Familiarity with Infrastructure as Code tools and the GitOps approach
Experience with cloud technologies
Authorized to work in the U.S. (no relocation sponsorship or remote work options available)

Responsibilities

Support and develop large K8s clusters (each with over 100 nodes)
Dive into research on approaches to enhance the stability of Linux and K8s as platforms for big data processing tasks
Participate in creating new on-premises and cloud installations
Develop deployment tools for internal users

Skills

Key technologies and capabilities for this role

KubernetesLinuxGitOpsInfrastructure as CodeCloud TechnologiesPythonGoCephLinux KernelNVIDIA GPUKubernetes Operators

Questions & Answers

Common questions about this position

Is remote work available for this Cloud Platform Engineer role?

No, remote work options are not available for this position.

What are the required skills for the Cloud Platform Engineer position?

Required skills include experience administering production Kubernetes clusters, understanding of Kubernetes internals, experience using Kubernetes to deploy applications and diagnose issues, familiarity with Infrastructure as Code tools and GitOps, and experience with cloud technologies.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the team like at Abridge?

The Cloud Platform team is responsible for deploying and maintaining Kubernetes clusters and related infrastructure in both cloud and on-premises environments, supporting large clusters for processing massive datasets from self-driving vehicles used in machine learning and algorithm testing.

What makes a strong candidate for this Cloud Platform Engineer role?

Strong candidates will have hands-on experience administering production Kubernetes clusters, deep Kubernetes knowledge, and familiarity with IaC, GitOps, and cloud tech; nice-to-haves like Python/Go coding, Linux kernel expertise, Ceph, GPU virtualization, and K8s operators will strengthen applications. U.S. work authorization is required with no remote or relocation options.

Abridge

AI platform for clinical documentation automation

About Abridge

Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on the needs of healthcare providers, payers, and pharmaceutical companies, offering a solution that improves both documentation efficiency and patient outcomes. The goal of Abridge is to enhance the quality of patient care while making the documentation process easier for healthcare professionals.

Pittsburgh, PennsylvaniaHeadquarters

2018Year Founded

$201.8MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Medical insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Equity

Flexible Spending (FSA) & Health Savings (HSA) Accounts

Learning and Development budget

401k Plan

Paid Parental Leave

Flexible working hours

Home Office Budget

Sabbatical Leave

Risks

Rapid expansion may strain Abridge's resources and affect service quality.

Integration challenges with EHR systems could disrupt workflows and data consistency.

Data privacy concerns in AI applications may lead to regulatory scrutiny.

Differentiation

Abridge transforms medical conversations into actionable clinical documentation using AI.

The platform supports over 28 languages and 50+ medical specialties.

Abridge's integration with EMR systems enhances clinician efficiency and patient care.

Upsides

Abridge's partnership with Mayo Clinic expands its reach to over 1 million patients.

The $150 million Series C funding accelerates AI technology development and integration.

Abridge's multilingual capabilities improve communication in diverse patient populations.

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