{"id":3958032,"url":"https://alion.io/job/mattel-senior-software-engineer","title":"Senior Software Engineer","company":{"id":13477,"name":"Mattel","domain":"mattel.com","url":"https://alion.io/company/mattel-inc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":12,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Firestore","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-09T09:20:03Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-12T14:48:06Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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.\n Senior Software Engineer - Enterprise Application Integration (EAI)\nLocation: Hyderabad, India\nJob Summary\nWe 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.\nThe 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.\nKey Responsibilities\nDesign, develop, and maintain enterprise integration services, REST APIs, and event-driven microservices using Node.js and TypeScript.\nBuild scalable, secure, and high-performance solutions utilizing Kafka, Solo Enterprise Gateway, and Google Cloud Platform.\nDevelop reusable components following enterprise architecture, coding standards, and security best practices.\nLead production support and release deployments for enterprise integration applications, services, and APIs\nDrive incident resolution, root cause analysis, and long-term reliability improvements\nPerform code reviews, write automated tests, troubleshoot production issues, and mentor junior engineers.\nParticipate in architecture discussions and Agile ceremonies.\nUse AI-assisted development tools (Gemini, ChatGPT, Cursor, or similar) to improve coding, testing, documentation, and debugging.\nEvaluate and integrate AI capabilities into enterprise applications where appropriate.\nLeverage LLM APIs, prompt engineering, and AI services to improve business processes and developer productivity.\nCollaborate with architects, product owners, QA, and support teams to deliver reliable, high-quality solutions.\nContribute to continuous improvement, engineering standards, and technical documentation, and operational best practices\nStay current with emerging AI technologies and recommend practical adoption opportunities.\n Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience).\nExperience: 6+ years building enterprise APIs, microservices, integration platforms, and cloud-native applications with production support experience.\nTechnical Skills\nStrong proficiency in Node.js and TypeScript.\nExperience with Kafka (Confluent preferred) and GCP (Cloud Run, Pub/Sub, Cloud Functions, Firestore, Cloud Tasks).\nExperience with API Gateways (Gloo/Solo Enterprise preferred)\nKnowledge of REST APIs, event-driven architecture, microservices, Docker, Git, GitLab CI/CD, Terraform, ArgoCD, relational and NoSQL databases.\nUnderstanding of secure software development and API management.\nExperience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, Cursor, or similar.\nFamiliarity with prompt engineering and integrating LLM APIs.\nKnowledge of Vertex AI, OpenAI APIs, LangChain, RAG, or AI agents is a plus.\n Skills & Competencies\nStrong analytical and problem-solving skills.\nExcellent communication and collaboration abilities.\nOwnership mindset with passion for 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