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Senior Cloud & Systems Engineer (Azure)

posted by: spj_bot

Antipollution, a member of Vasileiadis Group of Companies (V Group), is a leading provider of environmental and waste‑management solutions across the Eastern Mediterranean, Egypt, and the Balkans. Operating in six main business pillars—including Port Reception Facilities, Emergency Response Services, Decontamination Services, Renewable Energy, Alternative Fuel Production from Waste, and Technology—we are committed to sustainability, innovation, and operational excellence.

As part of our digital-transformation agenda, we are looking for a hands-on Senior Cloud & Systems Engineer (Azure) to join the Technology & Innovation Department. You will design, implement and continually optimize our Azure-centric and hybrid infrastructure—spanning virtual machines, Azure Virtual Desktop (AVD), containers, networking and security services—ensuring high reliability, security, scalability and cost-efficiency.

Role Overview:

You will act as the technical owner for our Azure and hybrid infrastructure, covering everything from compute and virtual desktops to networking, storage, identity and security. The role is 100 % hands‑on: you will plan, build, automate, troubleshoot and continuously improve systems yourself—while collaborating closely with peers in software, data and operations.

 

Key Responsibilities:

Job Skills

professional capacity planning VPN collaborating application gateway azure storage blob sustainability governance python vulnerability assessment best practices docker operations networking storage compute networking enforcing renewable energy negotiate manage agenda system engineering load balancers virtual networks network storage optimize infrastructure cost management RBAC scheduled systems engineer build automate plan build storage kubernetes virtual machine hyper v load balancer azure devops ansible track terraform reliability automation access management decontamination tcp ip azure azure information technology operational excellence medical insurance CDN act virtual desktop innovation alternative fuel ad emergency response translate technical powershell english written emergency services operating cloud infrastructure network security resilience operate pim file management reservations working environment computer science troubleshooting continuous improvement virtualization DNS security control analytical remuneration backup site pools virtualization vmware linux administration analytics digital transformation security services application insights scalability azure monitor dr collaborative infrastructure containerization scripting language scale bash hosts azure services prioritize
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Automation & Integration Engineer

posted by: spj_bot

Antipollution, a member of the Vasileiadis Group of Companies (V Group), is a leading provider of environmental and waste-management solutions across the Eastern Mediterranean, Egypt and the Balkans. Operating in six key business pillars—including Port Reception Facilities, Emergency Response Services, Decontamination Services, Renewable Energy, Alternative Fuel Production from Waste, and Technology—we are committed to sustainability, innovation and operational excellence.

As part of our digital-transformation agenda, we are looking for a hands-on Automation & Integration Engineer to join the Technology & Innovation Department. You will design, build and operate low-code/no-code automations and enterprise-grade integrations—streamlining business processes, connecting systems and data sources, and enabling secure, scalable, and cost-efficient operations in line with relevant industry best practices and compliance standards.

Role Overview:

You will act as the technical owner of workflow automation and system-to-system integrations—analyzing requirements, architecting solutions, implementing robust flows and continuously improving reliability, performance and cost. The role is 100 % hands-on: expect to create and troubleshoot Power Automate and n8n workflows yourself while collaborating closely with peers in cloud, data, IoT and business-process teams.

 

Key Responsibilities:

Job Skills

professional power platform nodes automate cloud collaborating business process on prem sustainability dashboards governance targeted python software engineering best practices docker programming data exchange webhooks grafana microsoft power platform efficient operations real time ERP renewable energy e root cause analysis build custom prometheus agenda improve quality licensing information system system software scalable automating self host integration architecture oauth microsoft power desktop environment scripts message queues scripting azure devops API integrations track incident response terraform reliability automation waste management integration cycle times typography design build decontamination streamlining color palette process mining json operational excellence medical insurance technical solutions data transformation act workflows innovation alternative fuel git emergency response ETL graphql english english written emergency services operating role based access self starter javascript operate microsoft 365 github automate working environment detail orient computer science continuous improvement translate shorten analytical remuneration data engineering digital transformation application insights infrastructure as code data sources industry standard azure monitor system integration collaborative encryption typescript data pipelines workflow automation
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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
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