Lead Full Stack Engineer

Top 3 Reasons To Join Us100% Remote WorkInternational EnvironmentWorking on the latest tech for the Insurtech Market LeaderAbout UsAt CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P& CWe're the winner of the Insurtech of the Year in all of Asia and other awards globallyWe work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many moreWe're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the worldWe are fully funded and backed by reputable VC funds and strategic institutional investorsWe have a global presence in Asia, EMEA and the AmericasWe've grown our annualized revenue by over 30x since January 2021We're constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the worldAbout The RoleAs a Lead Full Stack Engineer at CoverGo, you will play a critical role in driving the technical vision, strategy, and execution of our enterprise-grade insurance platform. In addition to hands-on full-stack development, you will lead a team of engineers, mentor peers, and champion the integration of AI-driven capabilities to push the boundaries of insurance technology.
You will be responsible for guiding architectural decisions, shaping development standards, and fostering innovation across the platform, with a strong focus on scalable software design, team performance, and continuous delivery. Your leadership will be key in aligning technology initiatives with business goals and delivering impactful, intelligent solutions.
What You Will DoLead the end-to-end development lifecycle of our SaaS platform, from design and implementation to deployment and maintenance, ensuring alignment with business objectives and technical requirementsProvide technical leadership and mentorship to a team of Full Stack Engineers, fostering their growth and development through coaching, feedback, and knowledge sharingDefine and drive the technical strategy for AI integration, working closely with product and data teams to deliver AI-powered features that improve automation, decision-making, and user experienceExplore and evaluate new AI models, frameworks, and APIs (e.
G., OpenAI, Hugging Face, Google AI), and oversee the development of AI proof-of-concepts (POCs) to validate innovative ideasCollaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, prioritizing features and enhancements based on impact and feasibilityDrive architectural decisions and establish coding standards and best practices to ensure the scalability, reliability, and maintainability of the platformConduct thorough code reviews, enforce quality standards, and promote a culture of continuous improvement through the adoption of testing methodologies and automationProactively identify technical debt, scalability bottlenecks, and areas for optimization, leading initiatives to address them and improve overall system performanceChampion security and compliance initiatives, ensuring adherence to industry regulations and best practices, and driving the implementation of robust security measuresStay updated with the latest trends, technologies, and best practices in software development, evaluating their potential impact and relevance to our platform, and advocating for their adoption where appropriateWhat We NeedDemonstrated leadership experience in a technical role, with a track record of successfully leading and mentoring engineering teams in the development of complex SaaS applicationsExtensive hands-on experience with Full Stack development using Node.
Js and related technologies, with a minimum of 8 years of relevant experienceProficiency in front-end and back-end technologies such as Node.
Js, Vue.
Js, GraphQL, MongoDB, Docker, and TypeScriptSolid hands-on experience building and deploying AI-driven applications or features using APIs and ML modelsStrong understanding of AI concepts such as NLP, recommendation engines, chatbots, or intelligent automation toolsStrong expertise in cloud platforms such as AWS, Azure, or Google Cloud, with experience in architecting and deploying scalable and resilient applicationsIn-depth knowledge of Test-Driven Development (TDD) methodologies, unit, integration, and functional testing, and experience with testing frameworks and automation toolsSolid understanding of Object-Oriented Programming (OOP) principles, SOLID principles, and design patterns, with practical experience in their applicationThorough understanding of web security best practices and experience in implementing security measures and ensuring compli