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Description:
SupportLogic is a platform that enhances customer service experiences using natural language processing (NLP) and machine learning (ML).
The platform integrates with existing ticketing systems like Salesforce Service Cloud, Zendesk, and Microsoft Dynamics to analyze customer sentiment and churn.
The role involves joining the Core Workflow Engineering Team to improve support professionals' experiences and help companies retain customers.
Responsibilities include building and scaling applications using Python-based Fast APIs on the backend and React on the frontend.
Engineers will work in an Agile environment, building end-to-end applications and collaborating with product managers and designers.
The position requires participation in scrum activities, scoping, developing, testing, and supporting product initiatives.
Advocating for better software development tools and practices is also part of the role.
Requirements:
Candidates must have production-level development experience in building Full Stack web applications using Python-based microservices and React.
Experience with Python for backend APIs, data models, and microservices is required.
Google Cloud experience, particularly with Memstore and Redis, is necessary, along with a solid command over multi-process stores.
Collaboration with stakeholders such as product managers, designers, and QA engineers is essential.
A degree in Computer Science, Engineering, or related training is expected.
Familiarity with tools like Slack, Github, and Atlassian/Confluence is important.
Benefits:
Healthcare (medical) coverage for employees, spouses, and children is fully provided.
Employees receive equity (stock options) as part of their compensation.
The company promotes a remote-first, collaborative, and transparent culture.
Paid Time Off (PTO) is encouraged for employees to recharge.