Backend Engineer

Requirements:

• Extensive knowledge of node, typescript
• Extensive knowledge of mongodb, firestore, or similar document store based databases
• Solid understanding of HTTP protocols, AJAX, REST, JSON
• Solid understanding of functional programming
• Solid understanding of testing with Jest
• Basic git commit/push/pull knowledge
• Write optimal and efficient code using best practices and conventions
• Resolve technical issues through debugging, research, and investigation
• Create requirements and time estimates for projects
• Develop solutions according to specified requirements
• Good communication and collaboration skills

Bonus skills:

• Python3, shell script experience
• Advanced git magic knowledge
• Knowledge of Google cloud infrastructure (particularly app engine)
• Big data processing experience (apache spark, apache beam)
• Understanding the benefits and downsides of procedural and object oriented programming styles
• trpc

Responsibilities:

• Quickly diagnose and triage server/database scaling issues
• Maintain performance across multiple databases and terabytes of text data
• Automate as much as possible (if you're doing it manually, you're doing it wrong)
• Working as a core member of an agile team driving the latest development practices
• Identify opportunities for adopting new technologies
• Do daily slack standup explaining what you've done, yet to do, and if you are blocked

Environment:

• Self-starter mentality, entrepreneurial work ethic
• Comfortable with ambiguity
• Ability to work in a fast-paced and agile development environment
• Easily adapt and learn new things whether it’s a new library, framework, process or a visual design concept
• Passion for releasing tried and tested bug-free code
• Willingness to take on roles and responsibilities outside their comfort zone to get the job done

HarmonizeAi vision statement

Our bold vision for Harmonize is to create a platform that allows customers to provide feedback to brands in a very frictionless and easy way, and for brands to be able to understand that feedback and take action on it. Since the volume of that feedback is massive, we believe that the only effective way to use it all is to use AI / ML.

Why we think we’ll win:

• Great Design and Development integrated well with one another: Both UX and UI are on point.
• CEO has spent time at one of the worlds most famous VC firms, creating their internal CRM tool and system of record that keeps track of companies
• Founders have long history of working together on a variety of different projects
• Giant Market (TAM), even for bootstrapped companies to win market share against big players as most of the AI/ML tools have been democratized.

Interesting technical challenges:

• ML (Machine Learning). We process multitudes of text, cluster, sentiment, and analyze them to extract juicy and actionable insights
• Scalable data scraping. We scrape and store data from various websites (both publicly available and private first party data). This system needs to be robust enough to handle change in format and throttling
• Apache beam / dataflow. We automatically process large volumes of data and generate reports based on time, data frequency, etc.