Software engineer in Keymakr Data Labeling

Direct message the member who posted the job with Keymakr Data Labeling Julia Vovk Julia Vovk HR We are seeking a passionate Software Engineer to develop, innovate, and maintain Keylabs.AI - Data labeling platform. This role is essential to our mission and offers the chance to make a significant impact in the AI ​​industry. Key Responsibilities: Develop and implement new features for our data labeling platform. Maintain and enhance platform performance, scalability, and security. Solve algorithmic tasks and optimize code efficiency.Collaborate with cross-functional teams to meet project goals.Deploy and maintain Linux servers and ensure system reliability.Qualifications:Education:B.Sc. or M.Sc. in Computer Science Experience: At least 6 years of full-time software development experience At least 2 years of experience with SQL and Mongo databases and writing complex queries. At least 2 years of experience in web development using JavaScript, HTML, and CSS. At least 5 years of experience in server side development. Preferably using PHP or Python languages.Technical Skills:Strong passion for programming and coding.Solid understanding of algorithms, data structures and performance.Understanding of networking concepts like IP addresses, TCP/UDP, HTTP protocol, and basic network troubleshooting tools.Experience with cloud computing platforms like AWS, GCP, or Azure. Proficiency with git and SSH. Experience deploying and maintaining Linux servers, including shell scripting and using package managers like apt or yum. Bonus Skills (Optional): Familiarity with NoSQL databases like MongoDB or key /value stores like Redis. Experience with Docker and containerization. Knowledge of machine learning tools (PyTorch, pandas, NumPy). Experience with additional programming languages ​​like Python, PHP, or TypeScript. Show more Show less Position level Senior secondary level Type of employment Full time Job duties Engineering and Information Technologies Industries IT services and IT Consulting