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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
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Senior Systems & Infrastructure Engineer

posted by: spj_bot

Antipollution, a member of V Group, is a leading environmental services provider operating across the Eastern Mediterranean, Egypt, and the Balkans. Through our six business pillars—Port Reception Facilities, Emergency Response Services, Decontamination Services, Renewable Energy, Alternative Fuel Production from Waste, and Technology—we deliver innovative and sustainable solutions with a strong commitment to operational excellence.

As part of our digital transformation journey, we are looking for a Senior Systems & Infrastructure Engineer to join our Technology & Innovation Department and support the Group's IT infrastructure, cloud environment, cybersecurity, and business-critical systems.

Role Responsibilities:

Job Skills

windows servers access policies infrastructure security automation sustainable disaster recovery monitor system microsoft 365 windows server organizational skill endpoint management service provider core service decontamination cybersecurity virtualization networking tcp ip system engineering communication sustainability computer science TCP troubleshooting continuous improvement transparency cloud migration information technology analytical remuneration operational excellence medical insurance storage business continuity operations digital transformation innovation system performance professional development critical systems business systems service oriented innovative alternative fuel virtual machine mfa system inventories information security it infrastructure consulting stage azure monitor servers virtual firewall emergency response collaborative communicated infrastructure microsoft azure LAN english powershell renewable energy emergency services operating coordinate system administration manage
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Senior Data Quality Engineer (4 Months Contract ) Onsite in UAE - Octopus by RTG

posted by: spj_bot

About the Role

We are seeking an experienced Senior Databricks Data Quality Engineer to lead the design, implementation, and automation of enterprise-scale data quality frameworks within a Databricks environment. The successful candidate will play a key role in establishing data quality controls, profiling frameworks, remediation processes, and AI-assisted quality monitoring across a large-scale data platform consisting of 170+ datasets and over 1,300 Critical Data Elements (CDEs).

This role requires strong expertise in Databricks, PySpark, Delta Lake, MLflow, and modern data quality management practices.

Job Skills

layers professional microsoft azure certification compute clusters datasets prioritized certified engineer quality assessment automation integrations integrate data validation predictive ul information system data management data manage quality frameworks quality control quality engineer data modeling management quality engineering validation processes sql data pipeline master data management computer science dashboards data quality governance data platform data engineering exception management managed integrating templates data processing outliers analytics pyspark anomaly detection machine learn build automated profiling automated predictive models datum cleansing data governance azure monitor data profiling machine learning data elements metadata prioritization human in the loop quality management microsoft azure scale quality scores root cause analysis azure services quality monitoring enforcement power bi engineer certified associate databricks
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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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Technisch Consultant Azure Infrastructuur

posted by: spj_bot

Join the journey

 Als Technisch Consultant Azure Infrastructuur binnen Managed Services ben je verantwoordelijk voor het beheren, onderhouden en optimaliseren van de infrastructuur op het Microsoft Azure Platform. Je werkt nauw samen met klanten, projectteams, service delivery managers en andere belanghebbenden om ervoor te zorgen dat alle systemen naadloos samenwerken en voldoen aan de bedrijfsbehoeften. Je richt je op:

  • Beheren, onderhouden, monitoren en verbeteren van infrastructuuroplossingen voor klanten op het Azure Platform.
  • Monitoren van de prestaties en beschikbaarheid van infrastructuuroplossingen en het oplossen van eventuele problemen.
  • Samenwerken met projectteams om nieuwe infrastructuuroplossingen te implementeren en over te dragen binnen Managed Services.
  • Up-to-date blijven met de nieuwste ontwikkelingen en updates binnen het Azure-platform.
  • Uitvoeren van incidentmanagement, problemmanagement en service requests.
  • Voorstellen doen voor verbeteringen (RFC’s) en uitvoeren van Azure assessments (kosten, beveiliging, prestaties).

 

Over Managed Services

Job Skills

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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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