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About Marriott:
Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories.
Engineering Director – Global Networks
Location: Hyderabad, India | Work Mode: Hybrid
Company: Marriott Tech Accelerator (MTA)
Role Overview:
As Engineering Director – Global Networks, you will lead the strategy, engineering, and operations of Marriott's global network infrastructure. This includes property, campus, cloud, and data center networks. You'll drive innovation, automation, and continuous improvement while ensuring high availability, security, and performance across mission-critical systems.
Key Responsibilities:
Network Strategy & Operations:
Stakeholder & Vendor Management:
Continuous Improvement & Governance:
Leadership & Team Development:
Technical Requirements:
Required:
Preferred:
Management Competencies:
Leadership & Strategy:
Execution & Results:
Relationship Building:
Talent & Capability Development:
Technical Acumen:
Job ID: 149011839
Skills:
Java, Python, AWS, Intellij, Spring, Container-based testing environment, Large system architecture design
Skills:
Ml, Kafka, Gcp, MLops, Spark, Databricks, Azure, AWS, digital twin technologies, enterprise data platforms, real-time analytics pipelines, Ai, AI ML predictive analytics, IoT sensor integration, Data, IIoT platforms, cloud-native data ecosystems, data lakes, machine learning model deployment, DataOps, GenAI applications, automation technologies, streaming architectures
Skills:
react.js , Java, Kafka, Spring Boot, Microservices, Elasticsearch, Devops, Typescript, Docker, Microsoft Azure, Kubernetes, Generative AI, Infrastructure as Code, Prompt engineering, LLMs, Vector databases, Pinecone, Azure OpenAI, CI CD, FAISS, RAG architectures
Skills:
telemetry , Agile Methodologies, Cloudformation, Gcp, Terraform, Restful Apis, Azure, Kubernetes, AWS, GitOps, DevOps practices, event-driven systems, microservices architectures, Test-Driven Development, distributed systems architecture, cloud-native architectures, infrastructure as code, observability
Skills:
.NET, Java, MLops, Generative AI, LLMs, EU AI Act, Google Cloud Generative AI Leader, Model fine-tuning, Responsible AI practices, SLMs, LLMOps, SFT, Azure AI Engineer Associate, RLHF, QLoRA, Claude Certified Architect certification, multi-agent orchestration, LoRA, RAG, NIST AI RMF, Agentic AI, AWS Certified AI Practitioner
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