SENIOR, SOFTWARE ENGINEER

What youll do: The primary responsibility of this role is to work on backend systems using Java or Python, leveraging GenAI tools to accelerate development, code refactoring, documentation, and problem analysis. In collaboration with product, engineering, and business teams, you will understand the problem space and design scalable solutions, using GenAI-assisted insights for requirement analysis, solution design validation, and impact assessment to improve application quality and stability. Along with driving quality engineering efforts, you will focus on improving issue detectability in lower environments by applying GenAI-powered analysis and automate repetitive/manual tasks using scripts and AI-assisted workflows. You will utilize GenAI for debugging, root cause analysis, and proactive monitoring, alongside hands-on experience with Kubernetes, logging frameworks, and deployment pipelines, to troubleshoot and resolve DevOps and production issues efficiently. You will actively contribute to microservices development, write effective and maintainable test cases enhanced by GenAI-based test coverage suggestions, and mentor junior engineers on both engineering best practices and responsible use of GenAI tools in day-to-day development. What youll bring: Bachelors/Master s Degree and 6-9 years of experience in design and development of consumer facing software. Strong computer science fundamentals: data structures, algorithms, design patterns. Hands on experience in applications using Generative AI. Strong desire to drive change, and ability to adapt to change quickly. Strong hands on development skills to prototype technical solutions. Strong oral and written communication skills Ability to balance the long-term "big picture" and short term implications. of design decisions. Practical knowledge of agile software development methodologies Strong experience in coding with high quality for production use in scalable systems. Strong Java/J2EE, Python, or scripting development. Strong knowledge of Kubernetes, including how logging works and experience with deployment and troubleshooting DevOps issues. Experience in writing test cases and implementing automated testing frameworks. Familiarity with microservices architecture and the ability to design and implement scalable solutions. Good understanding of application and infrastructure as well as overall operations and network management eco-systems Motivated by challenges and have a proven track record for delivering results at scale Foster a motivating culture of openness, collaboration, and continuous improvement.