Full Stack Software Engineer (Data Analytics) Typescript/JavaScript/React (Functional) (Remote Working)

About us

We enable global clients to utilise data and analytics for business transformation. The role will be focussed on enhancing and developing in-house client facing systems, whilst contributing to the development of new software products. Consisting of a team of highly professional engineers, we aim deliver products and services of the upmost quality. Joining our team allows you to greatly improve your skillset and to contribute towards solving some of the most challenging software engineering tasks in the industry.

Our Offer

• Flexible remote working with an international team
• Professional and career development prospects
• Support for professional development (training & certifications)
• Highly competitive salary
• Encouragement with participation in local community and charitable projects

Candidates should submit applications to cv@technosec.io with the subject: ‘Full Stack Software Engineer (Data Analytics) - Typescript/JavaScript/React (Functional)’

Our requirements:

We are hiring software engineers who can primarily demonstrate talent and aptitude, with a deep passion for coding and building highly quality reliable software. Generally, tasks will involve back-end and front-end development, performance optimization, and often close involvement with DevOps (cloud setup/configurations, testing, deployments).

• Experience in NodeJs, TypeScript/Javascript
• React (Functional), React Hooks, Redux
• Experience in the full Sofware Development Lifecycle (SDLC)
• IELTS English, level 6 and above, or equivalent ability
• Soft skills – flexible problem solving, self motivation, good team skills, good communication skills, conscientious, tenacious.

Ability to collaborate

• Ability to learn fast and grasp complex topics and structures

Ideally/Beneficial
• Familiarity with in Functional Programming i.e. Haskell/OCAML/F#/Clojure/Elixir
• Git, GitLab, CI/CD pipelines, Docker/Containers
• Tailwind CSS
• Go
• A general understanding of end-user data-analysis requirements