Senior Software Engineer – Enterprise Application Integration (EAI)

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. Candidates must work onsite 4 days per week in Hyderabad, during US EST time zone.

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.

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.

Requirements

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.