Senior Consultant
hace 4 días
Must Have Skills:
Bachelor's Degree in Computer Science, Engineering, IT, Mathematics, or related field (preferred)
5 + years of applied experience in software/platform engineering
Advanced proficiency in designing, developing, and debugging solutions
Strong experience with container orchestration (Kubernetes) and container engines (Docker)
Building real-time data pipelines and streaming apps (Kafka, RabbitMQ)
Proficient in multiple programming/scripting languages: JavaScript, PowerShell, Python, Bash, SQL, .NET, Java, PHP, Ruby, PERL, C++, R
CI/CD delivery using tools: GitHub, VSTS, Ansible, DSC, Puppet, Ambari, Chef, Salt, Jenkins, Maven
Project management experience in engineering/development environments
Experience with modern methodologies: SAFe Agile, Iterative, Waterfall
Familiarity with technical stack: Azure Data Lake Storage, Azure Blob Storage, Azure SQL Database, MongoDB, AKS, Dapr, FAST API, ReactJs, .NET 8, Python 3, Azure AI Search, Azure Service Bus, Azure Event Grid, Application Insights, Azure APIM, Qadrant, MongoDB Atlas, Azure Open AI, Terraform, GitHub Actions, Azure DevOps
Nice to Have Skills:
Experience with SAFe, Scrum/Agile Methodology and PMI certification or training
Developer Lead Engineer
To qualify for the role you must have
• Bachelor's Degree in Computer Science, Engineering, IT, Mathematics, or related field preferred
• More than 5 years applied experience
• Significant relevant experience in either an internal or external software or platform engineering role, or similar
• Technical knowledge and experience in delivering software / platform engineering solutions (depending on specialism), providing comprehensive technical advice and handling user requirements
• Significant proven experience in building application using container-orchestration systems like Kubernetes, and container engines like Docker
• Relevant experience in building real-time data pipelines and streaming apps using Kafka, and RabbitMQ message broker
• Functional knowledge of programming scripting such as JavaScript, PowerShell, Python, Bash, SQL, .NET, Java, PHP, Ruby, PERL, C++, R, etc.
• CI/CD delivery using code management, configuration management and automation tools such as GitHub, VSTS, Ansible, DSC, Puppet, Ambari, Chef, Salt, Jenkins, Maven, etc.
• Delivery using modern methodologies especially SAFe Agile, Iterative, Waterfall, etc.
• Familiarity with below technical Stack:
Component Technology
Platform
Authentication AAD (EYGS) for EY Users / myEY (external clients)
Data Stores Azure Data Lake Storage, Azure Blob Storage, Azure SQL Database, MongoDB
Microservices Kubernetes - AKS - Dapr, FAST API
Application
Web Interface ReactJs (Micro Frontend)/ Web and Mobile
Business Logic (Orchestrator and Skill Management) .NET 8, Python 3
Application Search Azure AI Search
Messaging Azure Service Bus, Azure Event Grid
Application Framework (Orchestrator and Skill Management) Dapr, FAST API
Logging Application Insights
API Management Azure APIM
Vector Database Azure AI Search, Qadrant, MongoDB Atlas
AI Models Azure Open AI, Text Embedding ADA 002 (Embedding)
Infrastructure Management Terraform
Application Code Pipelines GitHub Actions, Azure DevOps
Kindly share English profile only with your monthly gross salary expectations in Argentina pesos
EEO/About Us
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; or disability.
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