
Job Overview
Location
India (Remote)
Job Type
Full-time
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Collaborate with ML engineers and product teams to integrate machine learning models and data pipelines into robust backend systems, ensuring seamless interaction between ML technologies and software applications.
- • Design, build, and maintain scalable backend systems and APIs that incorporate machine learning technologies such as transformers and vector databases to optimize performance and usability.
- • Architect scalable solutions in partnership with cross-functional teams, defining requirements and implementing systems that enhance the performance, reliability, and functionality of ML-driven products.
- • Lead the development of backend components with strict adherence to code quality standards, performance optimization, and maintainability; refactor existing code to ensure efficiency and scalability.
- • Set up and manage continuous integration and continuous deployment (CI/CD) pipelines, ensuring automated testing, version control, and smooth deployments throughout the development lifecycle.
- • Mentor junior developers by providing technical guidance, promoting knowledge sharing, and fostering a culture of continuous learning within the team.
- • Work closely with DevOps teams to optimize infrastructure, ensure smooth deployment, scaling, and monitoring of backend services using cloud-based tools.
- • Identify, troubleshoot, and resolve backend performance bottlenecks, bugs, and system failures to maintain high availability and responsiveness of ML-driven applications.
- • Stay current with emerging technologies in backend development, machine learning, and cloud infrastructure to continuously enhance team capabilities and system performance.
- • Develop and maintain Python-based applications using production-grade best practices including virtual environments, dependency management, containerization, and orchestration.
- • Design and implement microservice architectures and RESTful APIs that scale with increasing data volume and user demand.
- • Utilize AWS services such as EC2 and S3 to architect and deploy scalable backend solutions in a cloud-native environment.
- • Work within agile development teams, contributing to fast-paced, iterative cycles with a focus on delivering high-quality software on schedule.
- • Apply familiarity with data pipeline tools like Meltano or Airbyte to support end-to-end data flow from ingestion to model consumption.
- • Ensure robust database interactions using PostgreSQL, MongoDB, and other data storage solutions in alignment with application requirements.
- • Manage containerized applications using Kubernetes or similar orchestration tools to automate deployment, scaling, and management of backend services.
🎯 Requirements
- • At least 6 years of professional experience as a backend Python Developer in production environments
- • Strong experience in backend Python development with emphasis on production-grade software in dynamic, fast-paced environments
- • In-depth understanding of Python deployment best practices including virtual environments, dependency management, containerization, and orchestration
- • Solid experience designing and developing scalable backend APIs and microservice architectures
- • Familiarity with AWS services such as EC2 and S3 and ability to architect scalable backend solutions using AWS infrastructure
- • Strong knowledge of CI/CD best practices and hands-on experience setting up and managing automated deployment pipelines
🏖️ Benefits
- • Remote work opportunity with flexible schedule: 02:30 PM - 11:30 PM IST
- • Work for a globally recognized real estate technology company with operations across the U.S., Canada, India, and the District of Columbia
- • Collaborative, inclusive culture grounded in operating principles: Be Agent Obsessed, Move Fast with Purpose, Own Your Outcome, Be Bold; Challenge Often, Win Together
- • Opportunity to work with cutting-edge machine learning technologies including transformers and vector databases
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About RealNetworks, Inc.
Founded in 1994, RealNetworks pioneered streaming media technologies and continues to provide software for secure audio, video, and facial recognition. Its products include RealPlayer, mobile and PC media applications, RealTimes storytelling tools, and SAFR computer-vision platform for live video analytics and biometric identity verification. The company serves consumers, broadcasters, and enterprises worldwide from its Seattle headquarters.
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