azure kubernete service

Microsoft DevOps Engineer

posted by: spj_bot

The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery.

Key Responsibilities

Azure Cloud Engineering

· Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards.

· Support Azure landing zones, networking, compute, storage, backup and disaster recovery services.

· Optimise cloud platform performance, resilience, capacity and cost.

DevOps & Automation

· Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates.

· Automate infrastructure and application deployment using Terraform, Bicep or ARM templates.

· Manage Git repositories, branching controls, pull requests, artefact versioning and release processes.

· Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort.

Monitoring & Reliability

· Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights.

· Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions.

Job Skills

data models modern microsoft automate infrastructure cloud engineering VPN microsoft certified endpoint management architecture diagrams dashboards governance experience design azure data controls secure python reliable docker operations rest apis microsoft intune business system cloud platform problem solving networking storage data governance resilient ERP root cause analysis microsoft sql server enterprise environments manage diagrams auditing networking compute disaster recovery microsoft designs delivery pipeline operational datum dictionary microservices RBAC storage arm arm vulnerability management stakeholder management kubernetes database design automated azure kubernete service virtual machine scripting azure devops devops incident management yaml power bi indexing database administration engineer designs terraform configuration management reliability automation models entity relationship cloud operation data integration management control agile integration azure azure cloud native data integrity landing zones corrective actions technical solutions collaboration investigate technical documentation change control application deployment git scrum accountable itil foundation certification powershell azure sql database structures planning cloud infrastructure resilience infrastructure security compliance requirement operate microsoft platforms design review azure policy vulnerability management devsecops troubleshooting continuous improvement translate tooling analytical positive templates data lake analytics personal attributes coding application insights infrastructure as code azure monitor agile change operational efficiency infrastructure microsoft azure continuous integration bash workflow factory azure azure services engineer relational database workflow automation audits
View the job post & apply
Login/Signup

ML Ops Architect

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

 

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role:

Job Skills

leadership terraform databricks cloud architectures compliance requirement cross functional agile system health version control scalable manage github high availability big datum distribute computing test automation workbench architectures technologies time performance engineers engineers computer science cloud compute visualization technologies manage cloud consultants airflow tableau job description azure data libraries azure databrick career development managed python experience designing google cloud platform collaborate reliable best practices azure machine learn analytics standard operating procedure programming machine learn creative perspective automated azure kubernete service governed data science google cloud market research scripting consulting scalability performance optimization real time azure monitor electrical engineering vulnerabilities collaborative machine learning infrastructure logging tracking scale e data pipelines ansible programming languages unix shell job scheduler processes tools
View the job post & apply
Login/Signup
Subscribe to azure kubernete service

SPJ is not just a platform; it's a transformative force in the maritime sector. We reinvent job discovery and collaboration, leveraging cutting-edge AI to create a space where careers thrive and innovations set sail.

Featured Posts

Contact