Senior Software Engineer

Posted 2 Days Ago
Be an Early Applicant
Hyderabad, Telangana, IND
Hybrid
Senior level
Digital Media • Kids + Family • Music • News + Entertainment
The Role
Design, develop, deploy, and support enterprise integration solutions on GCP using Node.js, TypeScript, Kafka, APIs, and event-driven microservices. Lead production support, deployments, incident resolution, code reviews, testing, architecture discussions, and mentoring. Apply AI-assisted development tools, LLM APIs, prompt engineering, and emerging AI technologies to improve engineering productivity and business solutions. Collaborate across architecture, product, QA, and support teams while advancing reliability, security, documentation, and engineering standards.
Summary Generated by Built In
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. 

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.

Skills Required

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience
  • 6+ years of experience building enterprise APIs, microservices, integration platforms, and cloud-native applications
  • Production support experience
  • Strong proficiency in Node.js and TypeScript
  • Experience with Kafka, preferably Confluent Kafka
  • Experience with Google Cloud Platform, including Cloud Run, Pub/Sub, Cloud Functions, Firestore, and Cloud Tasks
  • Experience with API gateways, preferably Gloo or Solo Enterprise Gateway
  • Knowledge of REST APIs, event-driven architecture, microservices, Docker, Git, GitLab CI/CD, Terraform, ArgoCD, relational databases, and NoSQL databases
  • Understanding of secure software development and API management
  • Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, or Cursor
  • Familiarity with prompt engineering and integrating LLM APIs
  • Knowledge of Vertex AI, OpenAI APIs, LangChain, RAG, or AI agents
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities

Mattel Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mattel and has not been reviewed or approved by Mattel.

  • Retirement Support — Retirement benefits include automatic company contributions in addition to matching, with auto-enrollment and automatic increases that support long-term savings. Features like age-based company contributions and loan availability reinforce the program’s strength.
  • Parental & Family Support — Family support is emphasized through paid parental leave and access to fertility and family-building resources, complemented by on-site childcare at select campuses. Recent program additions broaden support for parents and caregivers across locations.
  • Leave & Time Off Breadth — Many salaried roles receive flexible or unlimited PTO alongside holiday programs and hybrid/flexible scheduling. This breadth of time-off options provides greater flexibility compared with traditional accrual systems.

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The Company
HQ: El Segundo, CA
10,467 Employees
Year Founded: 1945

What We Do

We are a purpose driven company with a mission to create innovative products and experiences that inspire, entertain, and develop children through play. We treat play as if the future depends on it — because it does. Play is our language, and we speak to our consumers authentically by representing the world as they see and imagine it. Mattel is a leading global toy company and owner of one of the strongest catalogs of children’s and family entertainment franchises in the world. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Monster High and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies. Our offerings include film and television content, gaming and digital experiences, music, and live events. We operate in more than 35 locations and our products are sold in more than 150 countries in collaboration with the world’s leading retail and ecommerce companies. Mattel is recognized for the second year in a row as a Great Place to Work™ and as one of Fast Company’s Best Workplaces for Innovators in 2022.

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