Job
Description
Design and deploy scalable, high-performance technology solutions across various domains, including backend, frontend, data platforms etc and establish and maintain architectural standards for reliability, security, and performance Lead and mentor engineering teams across multiple disciplines and provide technical guidance and support, and promote best practices in coding, testing, and deployment processes. Enhance systems / processes to achieve optimal performance, scalability, and maintainability. Address and resolve complex technical issues to ensure overall system reliability Work closely with product managers, engineers, and other stakeholders to define system requirements and deliver integrated solutions that meet business and technical needs Stay abreast of industry trends and emerging technologies to integrate new tools and techniques across various technology stacks. Continuously refine architecture and development practices to drive innovation and efficiency Manage the lifecycle of projects spanning multiple technology areas, ensuring timely delivery, high quality, and alignment with architectural goals. Effectively manage technical debt and make strategic decisions to maintain project momentum Create and maintain detailed documentation of architectural designs and decisions across technology domains. Facilitate knowledge sharing and communication to support development and troubleshooting Requirements Bachelor s degree in Computer Science or related field with 17+ years of experience, including 4+ years in a principal or architectural role Deep expertise in designing and implementing scalable and distributed systems Expertise in programming languages and frameworks (e.g., Python, Node.js, Java) Strong knowledge of database systems (e.g., SQL, NoSQL), RESTful APIs, and microservices architecture Strong knowledge of software design patterns, architectural frameworks, data pipelines, data modeling, and best practices Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes) Strong problem-solving, analytical, and leadership skills, with the ability to collaborate with cross-functional teams and communicate technical concepts effectively Familiarity with DevOps practices, CI/CD pipelines and emerging technologies (e.g., GenAI, AI/ML)
