We are looking for an experienced Full Stack Senior Software Engineer (4–7 years) to join our core engineering team. This is a high-impact role where you’ll own end-to-end product features, influence architecture decisions, and contribute to building a world-class engineering culture.

Key Responsibilities

· Design and develop scalable, maintainable, and high-performance web applications across the stack.

· Participate and contribute to Architecture and Design discussions to make key technical decisions for new modules, integrations, and system improvements.

· Build and optimize RESTful APIs, microservices, and database models supporting complex data workflows.

· Design efficient PostgreSQL schemas, ensuring data integrity, scalability, and performance.

· Apply strong software engineering principles — OOP, design patterns, and clean code practices.

· Collaborate with product managers, designers, and data engineers to translate product vision into robust technical solutions.

· Mentor and guide junior developers, conduct code reviews, and champion engineering best practices.

· Ensure application security, reliability, and performance through continuous testing, monitoring, and refactoring.

· Contribute to process improvement, DevOps automation, and CI/CD pipeline optimization.

Qualifications

· Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

· 4–7 years of professional full-stack development experience.

· Proficiency in JavaScript (ES6+), HTML5, CSS3, and modern frontend frameworks such as React, Angular, or Vue.js.

· Strong backend expertise in Java, Spring Boot, or equivalent frameworks for building RESTful services.

· Hands-on experience with PostgreSQL (or other relational databases) — including schema design and performance tuning.

· Solid grasp of data structures, algorithms, and system design principles.

· Experience working in agile development environments with version control (Git).

Nice to Have

· Experience developing and scaling SaaS or cloud-native applications (AWS, GCP, or Azure).

· Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps workflows.

· Exposure to data engineering, analytics, or AI-driven products.

· Prior experience in startup or fast-paced product teams with end-to-end feature ownership.