Senior Software Engineer (Hybrid)

Job Description

End-to-End Project Delivery: Develop and deploy large, complex projects across both frontend and backend stacks. Work closely with cross-functional teams to ensure smooth project execution. Technical Expertise: Participate in technical discussions, provide guidance on full stack solutions, and troubleshoot challenges across the application. Quality Performance Enhancement: Monitor and improve key business and engineering metrics related to performance, quality, and system availability across the entire application. Collaborative Development: Engage in code reviews and design discussions, ensuring best practices are followed for both backend and frontend codebases. Process Improvement: Identify and implement opportunities to automate and streamline processes while aligning security with business goals. What you will bring: Technical Proficiency: Extensive experience building web-based products with full stack expertise. Proficiency in at least one dynamic programming language and an MVC framework (e.g., Ruby on Rails, NodeJS, Golang for backend; React.js for frontend). Database and Cloud Experience: Skills in database modeling, optimization, and query tuning (preferably with relational databases). Experience with cloud platforms (AWS, GCP) and CI/CD tools, ensuring robust and scalable deployments. Systems Design: Demonstrated ability to architect and develop highly available, scalable, and secure distributed systems. Adaptability and Innovation: A proactive approach to adopting new technologies and continuously improving code quality through incremental changes. Effective Communication: Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical team members. Bonus Skills: Experience with containerization and orchestration tools such as Kubernetes and Docker. Experience in Data Pipeline Engineering, including designing, building, and optimizing data workflows. Familiarity with working on projects involving Large Language Models (LLMs) and related technologies