BriefCase
BriefCase

Full Stack Developer / Tech Lead Job in Gloify

Full Stack Developer / Tech Lead

Gloify 4+ weeks ago
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Job Summary


What you will do?

    • Lead technical architecture discussions and outline technical plans.
    • Come up with well-structured solutions to ambiguous problems and implement them.
    • Ship high-quality, well-tested, secure, and maintainable frontend and backend code.
    • Provide leadership and technical direction on our various products and upcoming projects.
    • Champion reliability and quality by using best practices in software engineering and modular design.
    • Ensure all components are scalable, maintainable, and have in-built metrics instrumentation and monitoring
    • Delegate, coach, and mentor other team members.
    • Deliver an exceptional user experience to our customers. Put the customer first and have quality in mind.
    • Own the full release cycle from development to deployment.

What you will need?

    • 6+ Years of experience as a software engineer working on full-stack applications, preferably in a senior role.
    • Advanced knowledge ofReact.js, Python, and relational databases.
    • Experience with agile, test-driven development, continuous integration, and automated testing.
    • Experience with interpreting mockups and translating them into polished and resolved UIs.
    • Experience with building, modifying and extending API endpoints (REST or GraphQL) for data retrieval and persistence.
    • Experience with the full software development life cycle, including requirements collection, design, implementation, testing, and operational support.
    • Excellent verbal and written communication, teamwork, decision making and influencing skills.
    • Experience with scrum or other agile software development methodology.
    • Hustle. Thrives in an evolving, fast paced, ambiguous work environment.

Bonus if you have

    • Experience working in the eCommerce domain.
    • Experience with AWS technologies like Elastic Beanstalk, Amplify, etc.
    • Experience with productionizing machine learning pipelines.
    • Experience with GraphQL.
Experience Required :

Minimum 6 Years

Vacancy :

2 - 4 Hires

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