Backend Engineer Applications - BEA 1

Design and Development:

• Architect, design, and develop scalable and high-performance platform components.

• Design application using SOLID principles.

• Implement robust APIs and services to support application integration and data processing.

• Collaborate with software engineers, data scientists, and product managers to understand requirements and deliver effective solutions.

Platform Maintenance:

• Ensure the reliability, security, and performance of the platform through continuous monitoring and improvement.

• Implement best practices for system health monitoring, logging, and monitoring systems.

• Perform regular system updates, patches, and security enhancements.

Automation and Infrastructure:

• Develop and maintain infrastructure as code (IaC) to automate the deployment and management of platform resources.

• Optimize CI/CD pipelines to streamline development workflows and reduce deployment times.

• Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes).

Collaboration and Support:

• Work closely with the Product and Delivery team to align platform capabilities with operational needs.

• Independently collaborate with other engineering teams to address and resolve platform-related issues.

Innovation and Continuous Improvement:

• Stay up-to-date with emerging technologies and industry trends.

• Propose and implement improvements to enhance platform functionality, performance, and scalability.

• Participate in code reviews, design discussions, and team meetings to foster a culture of innovation and excellence.

• Bachelors/Master's degree in Computer Science Engineering

• 1-2+ years of experience in Platform Engineering

• 2+ experience as a Platform Engineer, DevOps Engineer.

• Strong knowledge in Python, Django and Flask framework.

• Strong knowledge in Git.

• Good knowledge in RDBMS/No SQL.

• Good knowledge in JIRA, PyUnit.

• Basic knowledge in Linux and Linux commands.

• Experience with cloud platforms (AWS, Azure, GCP).

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).

• Solid understanding of networking, security, and database management.

• Good to have knowledge of AI. Experience designing or working with AI agents and LLM-powered workflows (e.g., LangChain, LlamaIndex, OpenAI API, or similar).

• Proficiency in using AI-assisted coding tools (GitHub Copilot, Cursor, Claude Code, etc.) to improve development speed and quality.

• Solid understanding of networking, security, and database management.

• Preferable: Working knowledge of Angular for frontend development and cross functional collaboration.

• Good to have: Experience with prompt engineering and agentic system design.