Senior Python Developer

• Collaborate with ML & Product Teams: Work closely with ML engineers and product teams to integrate Machine Learning models and data pipelines into robust backend systems, ensuring seamless interaction between machine learning technologies and software applications. - Backend System Design & Development: Design, build, and maintain scalable backend systems and APIs that incorporate ML technologies such as transformers, vector databases, and other tools that optimize performance and usability. - Architect Scalable Solutions: Collaborate with cross-functional teams to define requirements, design architecture, and implement solutions that enhance the performance, reliability, and functionality of ML-driven products. - Code Quality & Maintenance: Lead the development of backend components, ensuring adherence to best practices for code quality, performance optimization, and maintainability. Maintain and refactor existing code to ensure high-quality and efficient solutions. - CI/CD Pipeline Management: Set up and manage continuous integration and continuous deployment (CI/CD) pipelines, ensuring automated testing, smooth deployments, and proper version control throughout the development lifecycle. - Mentorship & Technical Guidance: Mentor junior developers, providing technical leadership and promoting a culture of knowledge sharing and continuous learning within the team. - Collaborate with DevOps: Work with DevOps teams to optimize the infrastructure and ensure smooth deployment, scaling, and monitoring of backend services. - Troubleshooting & Performance Optimization: Identify and resolve backend performance bottlenecks, bugs, and other challenges to ensure high availability and performance of the system. - Stay Current with Technologies: Continuously learn and explore emerging technologies, tools, and best practices in backend development, machine learning, and cloud infrastructure to enhance the team’s capabilities. What You’ll Bring:

• Strong experience in backend Python development, with an emphasis on production-grade software in dynamic, fast-paced environments. - Familiarity with integrating and working with Machine Learning technologies such as transformers, vector databases, and related tools in backend systems. - In-depth understanding of Python deployment best practices, including virtual environments, dependency management, containerization, and orchestrating Python-based applications for production. - Solid experience designing and developing backend APIs and microservice architectures that scale with increasing data and usage demands. - Familiarity with AWS services like EC2, S3, and an ability to architect scalable backend solutions using AWS infrastructure. - Strong knowledge of continuous integration and continuous deployment (CI/CD) best practices and hands-on experience setting up and managing automated deployment pipelines. - Experience with data pipeline tools such as Meltano, Airbyte, or similar platforms is a plus. - Excellent problem-solving skills, with a proven ability to troubleshoot and resolve complex backend issues, performance bottlenecks, and bugs. - Strong communication skills, with the ability to work effectively within cross-functional teams, share ideas, and contribute to the team’s success. Education and Experience:

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience). - At least 6 years of professional experience as a backend Python Developer in production environments. - Proficiency in Python, experience with cloud services (preferably AWS), and a strong grasp of CI/CD practices. - Exposure to Machine Learning projects or data engineering pipelines is a plus but not mandatory. - Familiarity with databases (PostgreSQL, MongoDB), cloud infrastructure (AWS, Kubernetes), and data pipeline technologies (Meltano, Airbyte) is highly beneficial. - Familiarity with Kubernetes or similar container orchestration tools to manage, scale, and deploy backend services. - Experience working in agile development teams and contributing to fast-paced, iterative development cycles. How We Work: Our Operating Principles

Our Operating Principles are the blueprint of Real’s culture. They guide how we show up, make decisions, and bring our mission to life every day:

• Be Agent Obsessed: We design every decision around creating value for our agents and their clients. - Move Fast with Purpose: We act with urgency, clarity, and focus—without compromising our standards. - Own Your Outcome: Effort matters, but results matter more. We adapt, learn, and improve. - Be Bold; Challenge Often: We challenge assumptions, rethink “the usual,” and push for smarter, simpler solutions. - Win Together: We set high standards, collaborate deeply, and celebrate shared success. Additional Details:

• Location Requirements: Candidates must be based in India to be considered. - Physical Requirements: Ability to sit for long periods of time.