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Senior Software Engineer – Enterprise Application Integration (EAI)

7 days ago Hyderabad, India

Company Description

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.

Job Description

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.

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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.

Qualifications

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.

Additional Information

Skills & Competencies

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Ownership mindset with passion for innovation, AI adoption, and continuous learning.
Client-provided location(s): Hyderabad, India
Job ID: 655c26de-9a13-4937-821b-6e5b7f58d3ad
Employment Type: OTHER
Posted: 2026-08-06T15:01:27

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion

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