Backend Engineer

January 22

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

💵 $50 - $60 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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KEYO

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KEYO is a company that focuses on enhancing user experience on its website through the use of cookies. The company implements cookies to ensure proper functionality of its site, provide an optimal browsing experience, and gather user insights. KEYO offers users the option to manage their cookie preferences, respecting privacy choices by not tracking users who decline cookies. Additionally, KEYO appears to provide language support for a wide range of languages, suggesting a global or diverse user base.

Access Control • Ticketing • Security • Palm Vein Biometrics • Healthcare

11 - 50 employees

🌐 Web 3

💰 $7M Seed Round on 2022-11

📋 Description

• The Backend engineer will be responsible for developing and maintaining scalable and secure server-side services in the Cloud and other service environments (on-premise devices). • Develop RESTful APIs and microservices for backend systems. • Design and implement functional and stable server-side applications to meet needs; • Write clean, maintainable, and efficient code for various backend functions. • Collaborate with the client-side developers to integrate user-facing elements with server-side logic. • Optimize applications for speed and scalability. • Implement security and data protection solutions. • Ensure code is optimized for performance and scalability. • Design fault-tolerant and high-availability systems. • Stay updated with industry trends and best practices.

🎯 Requirements

• Strong expertise in Python and Django or any other frameworks. • Deep understanding of PostgreSQL and database optimization techniques. • Proficiency in Docker for containerization. • In-depth knowledge of RESTful API design and development. • Familiarity with implementing scalable system architectures. • Experience with cloud platforms (e.g., AWS, GCP). • Knowledge of GraphQL for API development. • Hands-on experience with monitoring and logging tools (e.g., Prometheus, Grafana). • Background in CI/CD pipeline development and automation. • NoSQL databases. • Testing code techniques and knowledge.