Senior Full Stack Developer - Python, JavaScript - remote
DataKitchen
Posted 4 years ago
DataKitchen
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!
Cambridge, MA and worldwide online
As a senior member of the DataKitchen product development team you will get a fast-paced startup experience. You will develop new features for our market-defining SaaS DataOps product, 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 market leading DataOps Platform brings a CI/CD mindset to the world of 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, various other states, Buenos Aires Argentina, Sicily and other locations.
Required Qualifications
- 5 or more years of software development experience with a record of delivering successful products
- Excellent JavaScript single page application development, preferably with Angular 10
- REST Api or server-side library development in Python
- 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, NGXS, Redux or similar SPA state management framework
- Experience with Kubernetes and/or Docker
- Experience creating products for developers 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 jobs@datakitchen.io. DataKitchen is an EEO company (see below).
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.
Background checks are required.
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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.