Senior Infrastructure Engineer at DataCamp

Spain

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, TechnologyIndustries

Requirements

Embody DataCamp's core values of data-driven decision-making, action, transparency, ownership, and customer focus
Thrive in a fast-paced, high-performing environment
Driven by a passion for making a meaningful impact
Adaptable, embracing change and ambiguity with enthusiasm
Initiative and entrepreneurial spirit to push beyond meeting targets, understand the "why" behind goals, and take ownership to drive the business forward
Collaborative team player who values transparency
Always seeks to improve and innovate

Responsibilities

Enable development teams to deploy their applications as seamlessly as possible
Advise development teams on infrastructure requirements for new DataCamp courses and projects
Manage company-wide shared resources that support the microservice architecture
Build and maintain internal services to support development operations
Prioritize self-service solutions and automation for deployment, infrastructure provisioning, cost control, and security standards
Support other teams in using infrastructure services, avoiding acting as a bottleneck
Play a key role in planning and implementing future infrastructure improvements
Own and manage day-to-day infrastructure responsibilities independently
Deploy and manage all DataCamp Platform workloads on EKS (Kubernetes) using Istio service mesh and self-service deployment pipelines
Provision all infrastructure using Terraform
Manage the Kong API Gateway to allow external ingress traffic into the DataCamp Platform
Support the DataCamp Data Platform, which is deployed on BigQuery, with data pipeline jobs managed by Airflow
Take ownership of the Learn Multiplexer product, which schedules course sessions for learners on the DataCamp platform

Skills

AWS

GCP

CircleCI

Backstage

CI/CD

monitoring

logging

security

infrastructure

cloud

DataCamp

Online platform for data science education

About DataCamp

DataCamp is an online learning platform focused on teaching data science skills to individuals and businesses. It offers a variety of courses and learning paths that cover topics such as data analysis, machine learning, and statistics, using popular tools like R, Python, and SQL. Users can learn at their own pace through video tutorials and coding challenges, which are accessible from any web browser. For businesses, DataCamp provides customized plans to help employees improve their data skills, addressing the increasing need for data literacy in the workforce. The platform operates on a subscription model, allowing users to start learning for free but requiring a paid subscription for full access to all courses and features. DataCamp stands out from competitors by specifically targeting the data science niche and offering a comprehensive suite of resources tailored to both individual learners and organizations.

New York City, New YorkHeadquarters

2013Year Founded

$30.3MTotal Funding

EARLY_VCCompany Stage

Data & Analytics, EducationIndustries

1,001-5,000Employees

Benefits

Competitive salary

Stock options

Generous healthcare benefits

Fully paid parental leave

Personal development budget

Personal office equipment budget

International company trips and trainings

Free lunch and healthy snacks

Risks

Competition from AI models like Mistral's Codestral Mamba may divert potential users.

Partnership with Alteryx could lead to conflicts of interest or dependencies.

DISH Network lawsuit poses financial and reputational risks for DataCamp.

Differentiation

DataCamp offers interactive, expert-led courses in data science and AI.

The platform provides tailored business solutions for scalable employee training.

DataCamp's partnerships enhance its course offerings and social impact.

Upsides

Growing demand for data literacy boosts DataCamp's business and individual user base.

Partnerships with Alteryx and Women in Data expand DataCamp's reach and influence.

New AI models present opportunities for specialized course development.

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