Senior Python Backend Developer Platform Engineer- remote

Mission

Design develop and maintain scalable backend services secure microservices and cloud-based platform components that enable high-performance AI applications. Ensure reliability security scalability and seamless integration between AI solutions enterprise systems and cloud infrastructure.

Responsibilities:

• Design and develop highly scalable resilient and secure microservices and RESTful/GraphQL APIs.
• Build and maintain backend services that support AI platforms and applications.
• Integrate business databases third-party services and internal legacy platforms with AI engines.
• Optimize backend performance latency and resource utilization to support real-time AI inference and model hosting.
• Implement enterprise-grade security controls including authentication authorization (RBAC) and rate limiting.
• Establish and promote development best practices clean code standards and code quality processes.
• Create and maintain integration and automated tests to ensure application reliability.
• Conduct code reviews and support engineering quality initiatives.
• Collaborate with AI Engineers to deploy AI models and services in containerized environments.
• Design and implement cloud-native solutions leveraging AWS and other cloud platforms.
• Support the deployment monitoring and maintenance of production systems.

Qualifications :

Professional Experience

• 5-10 years of experience in Backend Engineering Software Engineering Platform Engineering or related fields.
• Proven experience building scalable resilient and secure enterprise applications.
• Experience designing cloud-native architectures and distributed systems.
• Experience working in Agile software development environments.

Technical Skills

• Strong programming skills in Python and .
• Hands-on experience with AWS cloud services.
• Experience designing and developing RESTful APIs and/or GraphQL services.
• Strong understanding of microservices architecture.
• Experience integrating applications with databases enterprise systems and external APIs.
• Experience implementing authentication and authorization mechanisms including RBAC.
• Knowledge of containerization technologies and Docker environments.
• Experience with development best practices:

• Git
• CI/CD pipelines
• Automated testing
• Code reviews
• Version control

Nice to Have

• Experience with Azure cloud services.
• Experience supporting AI/ML platforms or AI-powered applications.
• Experience working in Financial Services or Insurance environments.
• Familiarity with high-availability and high-performance distributed systems.

Additional Information :

Benefits

• Full access to foreign language learning platform
• Personalized access to tech learning platforms
• Tailored workshops and trainings to sustain your growth
• Medical insurance
• Meal tickets
• Monthly budget to allocate on flexible benefit platform
• Access to 7 Card services
• Wellbeing activities and gatherings

Remote Work :

Yes

Employment Type :

Full-time