Senior Software Engineer

We build modern enterprise integration solutions using cloud-native architectures, event-driven technologies, and AI-enabled software engineering. Join us to deliver secure, scalable, and intelligent integration platforms. Senior Software Engineer – Enterprise Application Integration (EAI) Location: Hyderabad, India Job Summary We are seeking an experienced Senior Software Engineer to design, develop, deploy, and support enterprise integration solutions on Google Cloud Platform (GCP). This hands-on role focuses on building scalable APIs, event-driven microservices, and cloud-native applications while leveraging AI-powered development tools to improve engineering productivity and solution quality. The ideal candidate has strong experience with Node.js, TypeScript, Kafka, and GCP, and is comfortable adopting AI-assisted development tools and applying emerging AI technologies to business solutions. Key Responsibilities - Design, develop, and maintain enterprise integration services, REST APIs, and event-driven microservices using Node.js and TypeScript. - Build scalable, secure, and high-performance solutions utilizing Kafka, Solo Enterprise Gateway, and Google Cloud Platform. - Develop reusable components following enterprise architecture, coding standards, and security best practices. - Lead production support and release deployments for enterprise integration applications, services, and APIs - Drive incident resolution, root cause analysis, and long-term reliability improvements - Perform code reviews, write automated tests, troubleshoot production issues, and mentor junior engineers. - Participate in architecture discussions and Agile ceremonies. - Use AI-assisted development tools (Gemini, ChatGPT, Cursor, or similar) to improve coding, testing, documentation, and debugging. - Evaluate and integrate AI capabilities into enterprise applications where appropriate. - Leverage LLM APIs, prompt engineering, and AI services to improve business processes and developer productivity. - Collaborate with architects, product owners, QA, and support teams to deliver reliable, high-quality solutions. - Contribute to continuous improvement, engineering standards, and technical documentation, and operational best practices - Stay current with emerging AI technologies and recommend practical adoption opportunities. Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience). Experience: 6+ years building enterprise APIs, microservices, integration platforms, and cloud-native applications with production support experience. Technical Skills - Strong proficiency in Node.js and TypeScript. - Experience with Kafka (Confluent preferred) and GCP (Cloud Run, Pub/Sub, Cloud Functions, Firestore, Cloud Tasks). - Experience with API Gateways (Gloo/Solo Enterprise preferred) - Knowledge of REST APIs, event-driven architecture, microservices, Docker, Git, GitLab CI/CD, Terraform, ArgoCD, relational and NoSQL databases. - Understanding of secure software development and API management. - Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, Cursor, or similar. - Familiarity with prompt engineering and integrating LLM APIs. - Knowledge of Vertex AI, OpenAI APIs, LangChain, RAG, or AI agents is a plus. Skills & Competencies - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. - Ownership mindset with passion for innovation, AI adoption, and continuous learning.