[Product]: Senior Full Stack Engineer – SaaS Product & AI

Department: Products & Platforms

Experience: 5+

About the Role

Key Responsibilities

• Own end-to-end development of product features from requirement understanding to production.
• Build responsive, scalable, accessible, and maintainable frontend applications.
• Design and develop robust backend services, APIs, integrations, and business logic.
• Work with relational databases, data modelling, transactions, indexing, and query optimisation.
• Handle complex financial workflows involving billing, payments, subscriptions, taxes, currencies, and data integrity.
• Contribute to architecture, technical debt reduction, system modernisation, and performance improvements.
• Develop and integrate AI-powered capabilities using LLMs, APIs, structured outputs, RAG, tool calling, and automation where relevant.
• Use AI coding assistants responsibly for development, testing, debugging, refactoring, and documentation.
• Build and maintain third-party integrations, webhooks, background jobs, and asynchronous workflows.
• Implement secure coding practices, automated testing, monitoring, logging, CI/CD, and production best practices.
• Review code, mentor team members, and contribute to engineering standards and architecture decisions.
• Collaborate with Product, Design, QA, and Business teams to deliver high-quality product outcomes.
• Proactively identify edge cases, risks, usability issues, and opportunities for product and technical improvement.

Required Skills & Experience

• 5+ years of hands-on software development experience.
• Strong experience building and maintaining production-grade web applications.
• Proficiency in JavaScript/TypeScript, HTML, and CSS.
• Strong experience with at least one modern frontend framework such as React, Next.js, Angular, or Vue.
• Strong backend experience with technologies such as Node.js, Python, Java, .NET, PHP/Laravel, or equivalent.
• Good understanding of REST APIs, authentication, authorisation, asynchronous processing, caching, and integrations.
• Strong experience with PostgreSQL, MySQL, or equivalent relational databases.
• Knowledge of data modelling, transactions, migrations, indexing, concurrency, and data integrity.
• Experience with SaaS architecture, multi-tenancy, RBAC, feature flags, audit logs, background processing, and API versioning.
• Strong understanding of Git, code reviews, testing, CI/CD, cloud deployment, logging, monitoring, and debugging.
• Experience working with existing production codebases and improving systems incrementally.
• Ability to understand business requirements and translate them into scalable technical solutions.
• Strong problem-solving, communication, and technical decision-making skills.

Good to Have

• Experience in billing, invoicing, accounting, payments, payroll, or financial products.
• Experience with subscription and recurring-billing systems.
• Experience with payment gateways, webhooks, reconciliation, and financial workflows.
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, event-driven architecture, or message queues.
• Experience with AI/LLM APIs, RAG, intelligent automation, or AI-powered SaaS products.
• Experience with design systems and complex web applications.
• Experience modernising legacy applications or reducing technical debt.

What We Look For

• Strong product and problem-solving mindset rather than ticket-driven development.
• Ability to work across the full stack and take end-to-end ownership.
• Pragmatic approach to architecture and technology choices.
• Strong focus on security, scalability, performance, usability, and reliability.
• Ability to challenge requirements constructively and suggest better solutions.
• Comfortable working with ambiguity and taking independent decisions.
• Willingness to mentor and support other engineers.
• Hands-on approach with a strong focus on continuous learning and modern engineering practices.

Why Join Vinove?

• Work on an established and evolving SaaS product.
• Opportunity to contribute across product, frontend, backend, architecture, and AI.
• Ownership of meaningful technical and business problems.
• Exposure to modern AI-assisted engineering practices.
• Opportunity to influence product and engineering decisions.
• Strong growth and technical leadership opportunities.