Senior Software Engineer

Mattel; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Mattel Global Business Services is seeking a Senior Software Engineer for Enterprise Application Integration (EAI) on Google Cloud Platform. You will design, develop, deploy, and support enterprise integration solutions, building REST APIs and event-driven microservices with Node.js/TypeScript.

The role emphasizes scalable, secure cloud-native apps, AI-assisted development tools, and collaboration with architects, product owners, QA, and support teams.

Qualifications

• Experience building enterprise APIs and microservices.
• 6+ years in API development and cloud-native apps.
• Strong knowledge of security and coding standards.

Responsibilities

• Design and develop enterprise integration services and REST APIs.
• Build scalable, secure microservices on GCP with Kafka-based messaging.
• Lead deployments, incident resolution, and code reviews.
• Mentor junior engineers and participate in Agile ceremonies.
• Evaluate AI-assisted development tools and integrate AI capabilities.

Skills

Node.js

TypeScript

Kafka

GCP

REST APIs

Event-driven

Docker

Git

GitLab CI/CD

Terraform

ArgoCD

Databases

Education

Bachelor's degree in CS/IT/Engineering

Tools

Gloo API Gateway

Solo Enterprise Gateway

Google Cloud Platform

Confluent Kafka

Vertex AI

LangChain

Job description

• Company: Mattel Global Business Services

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)

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.

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

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ownership mindset with passion for innovation, AI adoption, and continuous learning.

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