Senior Full Stack Developer

October 11

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Rooster Scheduling

Interview Scheduling β€’ Talent Acquisition β€’ Candidate Experience β€’ Talent Transformation β€’ Workday Recruiting

11 - 50

Description

β€’ Design and develop robust software tailored to user requirements and industry standards. β€’ Collaborate with product managers, contributing technical insights to sprint/iteration planning, risk analysis, and user story refinement. β€’ Offer mentorship to junior developers, instilling development best practices. β€’ Engage in sprint planning, ensuring accurate project/task estimation. β€’ Establish and advocate for programming patterns and standards. β€’ Use system maintenance and tracking tools like Jira for streamlined development processes. β€’ Address and rectify production issues, liaising directly with internal/external stakeholders when necessary. β€’ Spearhead process enhancements within the Engineering department. β€’ Continuously improve your expertise and proactively acquire new skills. β€’ Conduct thorough code reviews to maintain code quality and standards.

Requirements

β€’ A minimum of 5 years' experience as a Full Stack Developer, with prior experience in a SaaS company being a plus. β€’ Proficiency in both back end and front end development using HTML, CSS, Javascript/Typescript, React, Redux, NodeJS, Express, and JSON/REST-based web services. β€’ Familiarity with any of the following would be an advantage: Google Cloud Platform, DevOps CI/CD, Serverless architecture, Docker/Kubernetes, Cloud/Lambda Functions, and NoSQL Firebase Cloud Firestore/MongoDB. β€’ A strong grasp of Agile or similar development methodologies. β€’ Stellar communication skills, both verbal and written, with the aptitude to convey thoughts clearly in a remote setting. β€’ Autonomous work ethic with the capacity to prioritize tasks, ensuring timeliness and quality. β€’ Comfortable in a dynamic environment and adept at handling changes. β€’ Openness to minimal travel requirements (<5% annually). β€’ Nice-to-Haves: Experience in AI or machine learning integration. Familiarity with mobile app development and/or browser plug-ins. Exposure to internationalization and localization of software products. Prior involvement in scalable and performance optimization projects.

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