We are seeking a highly skilled and motivated Platform Engineer to join our dynamic engineering team. In this role, you will design, develop, and optimize scalable backend systems using a modern tech stack. As a Senior Software Engineer, you will work closely with product and cross-functional teams to deliver high-performance, resilient, and secure systems that power our core platform systems. Your expertise in distributed systems and cloud-native technologies will be essential to the success of the team and the business. Backend System Design and Architecture: Lead the design and development of scalable, high-performance backend systems with a focus on reliability and maintainability. Backend Development: Build and maintain REST APIs and microservices using Python, leveraging the FastAPI framework, to integrate with various external systems and services. Messaging and Streaming: Work with Apache Kafka or Pulsar for building reliable, real-time data streaming pipelines and message-driven architectures. OLAP & Data Management: Develop solutions utilizing OLAP databases like StarRocks to support fast, analytical queries over large datasets. Optimize data ingestion and processing pipelines for high performance and low latency. Non-Relational Databases: Design and manage non-relational databases such as MongoDB, handling schema design, query optimization, and scaling issues to ensure performance at scale. Cloud Infrastructure: Utilize AWS for deploying, scaling, and managing cloud resources, including EC2, S3, Elastic Beanstalk, EKS, and other managed services. Infrastructure as Code (IaC): Implement infrastructure automation, ensuring consistent and scalable deployment of environments. Containerization and Orchestration: Leverage Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment. Collaboration & Mentorship: Work closely with junior developers and provide technical leadership and mentorship on best practices, code quality, and system design principles. Continuous Improvement: Contribute to the evolution of engineering processes and practices, focusing on improving system performance, security, and efficiency.
Requirements
Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Experience: 3+ years of experience in R&D architecture and integration Strong proficiency in using web frameworks such as Flask, Django, or FastAPI to build and maintain RESTful APIs. Experience with distributed messaging systems like Apache Kafka or Pulsar for building real-time data streaming pipelines. Experience in OLAP databases (e.g., StarRocks, ClickHouse) and experience with high-performance data storage, querying, and analytics. Solid experience working with NoSQL databases like MongoDB or similar, with a focus on scalability and performance optimization. Hands-on experience with AWS services (EC2, S3, Elastic Beanstalk, EKS, etc.) and cloud-native application development. Proficiency with Infrastructure as Code (such as Terraform), automating deployments and infrastructure management. Experience with containerization (Docker) and container orchestration using Kubernetes. Excellent problem-solving and debugging skills, particularly in distributed systems. Familiarity with CI/CD pipelines, version control (Git), and agile development practices. Growth mindset with a commitment to continuous learning. Ability to communicate complex technical ideas clearly and collaborate effectively with cross-functional teams.
Benefits Access to competitive Salary Performance Bonus Skill development support Mentorship form Industry Experts Get the access to all AI models and 5000 credits on AndAI Join the AI community for lifetime Learn AI integration with real time use cases Understand the Gen AI apps architecture and its applications
