Cognigy
natural language processing • Enterprise artificial intelligence • machine learning • dialogue and chat systems • multi channel AI
51 - 200
💰 $15M Series B on 2022-02
Senior Full-stack Software Engineer
September 17
Cognigy
natural language processing • Enterprise artificial intelligence • machine learning • dialogue and chat systems • multi channel AI
51 - 200
💰 $15M Series B on 2022-02
Description
• Develop and deliver software solutions that meet customer needs quickly and efficiently • Creating high-quality code with a well-structured and maintainable design • Keep our codebase tested and secure • Overseeing of our user interface • Profiling and benchmarking our codebase to identify bottlenecks • Ensure operational excellence through monitoring, logging, and e2e testing • Providing guidance to other developers and act as a mentor
Requirements
• Several years of experience in full-stack software development • Experience with containers and debugging containerized applications • Experience in using and working in a Linux-based environment • Experience building front-end applications with a similar tech stack to React.JS, Vue.JS, CSS in JS and state management libraries such as Redux • Experience building back-end applications with frameworks such as Node.JS or Ruby on Rails • You have a ‘feel for good design’ – padding and margin are not just CSS properties for you • Familiar with MongoDB or a similar NoSQL database. Experience with SQL is also appreciated • Familiar with Realtime communication protocols such as WebSocket or WebRTC • Experience with writing well-tested and high-quality code • Open to various programming languages and willing to learn continuously • Good communication skills and the ability to present new concepts to our management • Ability to work independently and collaboratively
Benefits
• Attractive and performance-oriented salary • Company pension plan • 30 days paid leave • Discretionary virtual stock options plan, so you can benefit from the company’s success • Unique opportunity to help build and shape the company, with little hierarchy • Flexible and remote working options • Colleague recognition, reward and celebration events • Global Employee Assistance Program • ClassPass membership, giving you access to a variety of fitness and wellness experiences • Ongoing learning and development opportunities, including LinkedIn Learning
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