Senior Frontend Engineer (Remote)

About This Role

We are hiring a Senior Frontend Engineer to help us build the world’s most intuitive and delightful DataOps web IDE. The focus of this role is on delivering rich functionality without overcomplicating the codebase or design, and high-quality fit and finish backed by high reliability. We look for strong technical skills, attention to detail, the ability to self-manage and own problems, and enthusiasm for our inclusive and supportive culture.

DataKitchen is committed to being remote-first. Our employees are in the US, Argentina, Brazil, the UK, the Dominican Republic, Italy, Portugal, Jamaica, Sweden, and other locations. Note: you must be located within GMT+1 (i.e. Italy) to GMT-8 (i.e. California). We will not consider candidates outside those time zones because we value close collaboration and working sane hours.

Desired Skills

  • Frontend product development experience
  • Comfort with our stack: the latest versions of Angular, NgRx, Jest, TestCafe
  • Familiarity with typed data structures and algorithms
  • Experience with serverless architectures and Continuous Delivery
  • Enthusiasm, curiosity and drive!

We do not work with recruiters. Everyone else, if in doubt please reach out!

About DataKitchen

DataKitchen is leading the DataOps movement, making it possible for enterprise data teams to turn data into true business value. We were honored as Gartner’s 2019 Cool Vendor, a CRN Big Data “Start-Up to Watch” in 2020, and OnCon’s 2021 Data & Analytics Vendor of the Year. Our company is profitable, rapidly growing and stock will be part of the package.

DataKitchen Values

We make our customers wildly successful while respecting each person we work with. We move fast, love and learn from our errors, and fall forward. We embrace Agile Values and Principles.

Apply to this Position

Click or drag a file to this area to upload.

Company benefits include health and dental insurance, short and long-term disability insurance, life and AD&D insurance, 401(k) with company match, incentive stock options, open paid time off policy, and the benefits of working at the CIC including a well-stocked kitchen and other amenities (if you are local and when we are back in the office). DataKitchen is profitable and self-funded.

Equal Employment Opportunity Statement: DataKitchen, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. DataKitchen, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. DataKitchen, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of DataKitchen, Inc. employees to perform their expected job duties is absolutely not tolerated.

By DataOps Phase

Go from zero to DataOps in four incremental phases
Lean DataOps Overview Production DataOps Development DataOps Measurement DataOps Enterprise DataOps

By Buzzword

DataOps is the foundation for these common use cases

Data Observability
Data Mesh
Self-Service Operations

By Platform

DataOps brings agility to any environment

Hybrid Cloud DataOps
Cloud DataOps

By Team

DataOps makes any team more productive

Business Analytics
Central Data/IT
Data Science/AI

DataOps FAQ

All the basics on DataOps

DataOps 101 Training

Get certified in DataOps

Customer Stories

See how customers are using our DataOps Platform

Upcoming Events

Join us to discuss DataOps

Maturity Model Assessment

Assess how your organization is doing with DataOps