Senior Lead Software Engineer

About the Role

Platform Science is seeking a Senior Lead Software Engineer in Chennai, Tamil Nadu, India, to drive the evolution of our Driver App and related web platforms. This is a unique opportunity for a seasoned technical leader and hands-on architect to define the technical vision and execution of our AI-driven features. You will architect robust, scalable, and intelligent systems, significantly impacting thousands of drivers' efficiency and solidifying our market leadership. This role reports to the Software Development Manager.

Essential Responsibilities

• Architect, design, and lead the hands-on development of scalable, high-performance AI-driven features for our core mobile and web products.
• Develop and optimize on-device machine learning models (e.g., Firebase ML Kit) and build robust backend APIs for complex model serving on cloud platforms (e.g., GCP).
• Collaborate with product managers and data scientists to define the technical roadmap for AI integration, evaluating new technologies and making strategic build vs. buy decisions.
• Write clean, efficient, and well-documented code, establishing best practices for software development, microservices architecture, and MLOps to ensure scalability and reliability.
• Work closely with Subject Matter Experts (SMEs) to transition models from research to production and partner with other engineering teams to bring innovative ideas to market.

Experience

Required Experience

• 10-12+ years of progressive software development experience, with at least 3 years focused on building and deploying AI/Machine Learning capabilities in production.
• Hands-on experience with key AI Agent building frameworks like Langchain and Google ADK.
• Expert-level knowledge of Mobile (Android/iOS) development, including practical experience with on-device ML model integration and optimization.
• Strong proficiency in Web/Backend development with languages like Python and experience deploying APIs/services on cloud platforms (AWS, Azure, or GCP).
• Deep understanding of distributed systems, microservices architecture, and the full MLOps lifecycle.
• Exceptional problem-solving skills with a proven track record of addressing complex technical challenges.

Other Requirements

• Familiarity with event-driven design patterns and technologies (e.g., Apache Kafka, RabbitMQ).
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Knowledge of software development best practices, including Git, code reviews, and testing methodologies (e.g., TDD).

Additional Attributes

• Passion for learning new technologies.
• Strong analytical and problem-solving abilities.
• Self-starter with excellent communication and teamwork skills.
• Ability to work independently and collaboratively in a team environment.
• Dedication to delivering high-quality, performant solutions.
• Eagerness to learn, take ownership, and drive results.

Benefits

Platform Science offers comprehensive benefits for full-time employees, including provident fund and gratuity as per applicable laws, paid vacation, sick leave, holidays, and twenty-six weeks of paid maternity leave.

Please note that compensation details for India roles reflect base salary only and do not include bonus, equity, or benefits. Platform Science collects personal information for business operations, HR, employment, benefits administration, health and safety, legal compliance, and other related purposes. Review our Privacy Policy for more details.

This document describes a potential position and is not an offer of employment. All terms are subject to change and jurisdictional laws. Platform Science is an equal opportunity employer and considers all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.