IN_Manager_ DevOps Engineer - ACOE_GCC_Advisory_Bangalore

Position Overview We are seeking a talented Platform Automation / DevOps Engineer to design, architect, and implement enterprise-scale automation solutions. This role focuses on building cloud-native platforms, developing Infrastructure as Code solutions, and enabling efficient CI/CD operations across our organization. Key Responsibilities Design, architect, and implement enterprise automation solutions for operational and business requirements Build and maintain cloud-native platforms and automation frameworks across AWS and Azure environments Design and implement serverless and event-driven architectures using cloud-native services Develop and maintain Infrastructure as Code (IaC) and configuration management solutions Build and support CI/CD pipelines for platform, application, and automation deployments Develop automation solutions using Python, Shell Scripting, APIs, and cloud services Manage platform operations, system administration, monitoring, troubleshooting, and reliability initiatives Evaluate business problems, create proof-of-concepts, recommend technical solutions, and drive implementation through production deployment Design and implement AI-enabled automation solutions leveraging LLMs, RAG architectures, cloud AI services, and intelligent workflows Implement logging, monitoring, observability, and operational reporting solutions Support cloud governance, security, performance optimization, and cost optimization initiatives Collaborate with engineering, operations, and business teams to deliver scalable and reliable platform solutions

Required Skills Platform Engineering DevOps Engineering Cloud Engineering Infrastructure Automation AWS Cloud Services Azure Cloud Services Terraform Ansible Jenkins CI/CD Pipeline Design and Implementation Python Shell Scripting Linux Administration REST API Integration and Automation Serverless Architecture Event-Driven Architecture Monitoring and Observability (especially NewRelic) Docker and Container Technologies System Design and Solution Architecture Production Support and Troubleshooting AI/LLM Fundamentals RAG Architecture Concepts AI-Powered Automation Solutions Nice-to-Have Skills React.js Node.js / Express.js Databricks (Functional and CICD) Basics of Machine Learning and Predictive Analytics (e.g., XGBoost, NLU, BERT) AWS Bedrock Azure OpenAI Services Playwright and Selenium Cost Optimization Platforms Full Stack Development Exposure Enterprise Reporting and Analytics Solutions

Mandatory skill sets: 

Years of experience required: 

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