Remote jobs in Programming



Build a SaaS DataOps Platform in Python and Angular

Physically in GMT+2 to GMT-8

full stack





4 months

Remote Jobs


Remote Jobs in Physically in GMT+2 to GMT-8


Build a SaaS DataOps Platform in Python and Angular

Location: Physically in GMT+2 to GMT-8 Type: Full-time

Full Stack Developers (all levels)

As a member of the DataKitchen product development team you will get a fast-paced startup experience. Design and develop new features for our market-defining SaaS DataOps product. Support sales through Proof of Value projects. Work directly with company founders and customers. Enhance the scalability and reliability of the product, and contribute to our continuously improving Agile development process.

DataKitchen's DataOps Platform brings a CI/CD mindset to the world of continuous data operations and statistical process control. We need talented developers to help develop new modules, new Apis and perhaps even new members of the product family.

The successful candidate will have top technical skills, excellent attention to detail and follow-up, the ability to self-manage, and enthusiasm for our inclusive and supportive culture. Our company is committed to being remote-first, with employees in Cambridge MA, Rhode Island, Buenos Aires Argentina, Sicily and many other locations.

Required Qualifications

Software development experience with a record of delivering successful products
Strong Python and/or Javascript experience
REST Api or server-side library development
JavaScript single page application development experience, preferably with Angular 10
Ability to deliver well-tested and performant code in a CI/CD pipeline
An Agile, customer-oriented mindset
Enthusiasm, curiosity and drive!

You must be located within GMT+2 (e.g. Italy) to GMT-8 (e.g. CA). We will not
consider candidates outside those time zones. We do not work with recruiters.
Everyone else, if in doubt please reach out!

Qualifications That Are a Plus

Experience developing against cloud platform Apis (e.g. AWS, GCP, etc.)
Experience building with NGRX, NGSX, Redux or similar SPA state management framework
Experience with Kubernetes and/or Docker
Experience creating products for developers, data engineers and/or data analysts

DataKitchen Values

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

To apply send your resume to [email protected] 

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 US 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.


DataKitchen enables analytic teams to deliver value quickly, with high quality, using the tools that they love. DataKitchen provides the world’s first DataOps platform for data-driven enterprises. We give our customers the ability to support data analytics that can be quickly and robustly adapted to meet evolving requirements. DataKitchen is leading the DataOps movement to incorporate Agile Software Development, DevOps, and manufacturing based statistical process control into analytics and data management.  The Company is headquartered in Cambridge, Massachusetts.

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