Requirements and responsibilities
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Key Responsibilities:Design, develop, and maintain robust backend services and APIs leveraging Python, Java, FastAPI, and related frameworks.Architect scalable systems using microservices to ensure performance and reliability in cloud environments.Model, implement, and optimize both relational (MySQL, PostgreSQL, Oracle) and NoSQL (MongoDB, Cassandra) databases, ensuring data integrity and access efficiency.Collaborate closely with front-end teams to integrate seamless APIs and deliver end-to-end solutions.Deploy and manage applications using Docker and Kubernetes in modern cloud infrastructures like AWS, Azure, or Google Cloud.Champion best practices in code quality, version control (Git), security, and continuous integration/deployment (CI/CD).Lead and mentor team members, fostering a culture of collaboration and innovation within the customer's team.Required Skills and Qualifications:Advanced proficiency in Python and Java with hands-on experience in FastAPI and frameworks such as Spring, Django, or Flask.Deep understanding of both SQL and NoSQL databases, including data modeling, optimization, and query design.Strong background in API development, integration, and microservices architectures.Highly skilled in using Git for version control and collaborating on distributed teams.Proven experience with containerization and orchestration tools like Docker and Kubernetes.Excellent written and verbal communication skills, with a focus on clarity and precision, essential for remote teamwork.Demonstrated commitment to secure software development and mitigation of vulnerabilities.Preferred Qualifications:Experience leading backend or cross-functional teams in remote or distributed settings.Familiarity with advanced cloud solutions, including deployment, scaling, and monitoring on AWS, Azure, or Google Cloud.History of designing and deploying highly available, mission-critical backend systems.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)