Backend Engineer

About the role

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.

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.

Requirements

• 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.