[Hiring] Senior Full Stack Engineer @Workato

Role Description

We are seeking a Senior Full Stack Software Engineer to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration. This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.
• Build scalable, production-grade backend services and REST APIs using Python.
• Develop clean, performant, and reusable React.js components for modern web interfaces.
• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.
• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.
• Lead architecture discussions and set engineering best practices across the stack.
• Optimize application performance, scalability, and reliability across backend and frontend systems.
• Mentor junior developers and contribute to a culture of engineering excellence.

Qualifications

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.
• 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.
• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.
• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).
• Deep knowledge of REST API design and integration patterns.
• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.
• Familiarity with integrating AI/ML models into applications (directly or via APIs).
• Strong understanding of software architecture, scalability, security, and system design.
• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Requirements

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.
• Strong sense of ownership, accountability, and leadership.
• Passion for AI and delivering impactful, data-driven software solutions.
• Comfortable working in a fast-paced, collaborative, and iterative environment.
• Willingness to mentor others and help raise the overall bar for engineering quality.

Benefits

• Vibrant and dynamic work environment.
• A multitude of benefits to enjoy inside and outside of work.