accountant – accounts receivable (junior)

ai engineer, light

ai platform engineer

devops engineer

devops engineer - aws

full stack developer

platform engineer

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
 </li>
 <li>
 You contribute to the design, deployment and operation of data platforms on Microsoft Azure, with a strong focus on Microsoft Fabric, ensuring reliability, scalability and security in production environments.
 </li>
 <li>
 You work closely with data engineers, data scientists and application teams to industrialize data ingestion, transformation and consumption on Azure and hybrid platforms.
 </li>
 <li>
 You build and maintain the data pipelines, storage layers and services required for analytics and AI use cases (batch and/or streaming), leveraging Azure data services and Microsoft Fabric capabilities.
 </li>
 <li>
 You help automate and standardize platform services (templates, CI/CD, infrastructure as code, monitoring) to accelerate delivery while keeping quality high.
 </li>
 <li>
 You participate in incident analysis, capacity planning and continuous improvement of the data platform, contributing to a strong reliability and performance culture.
 </li>
 <li>
 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new platform capabilities, such as new Microsoft Fabric workspaces, data products or self-service data features for business teams.
 </li>
 <li>
 You can be involved in migration projects from legacy on-premise solutions to Azure and Microsoft Fabric, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around modern data stack components and best practices on Azure.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in data platform engineering on Azure, from build to run. You will strengthen your skills in Azure data services and Microsoft Fabric, data storage and processing, automation, observability and reliability, while gaining experience on real-life, large-scale data use cases. You will also develop your ability to collaborate with cross-functional teams, translate business and analytics needs into robust data platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
 <li>
 Benefits of the role
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior Data Platform Engineer, Data Platform Tech Lead or roles focused on data architecture. You will also be able to move towards positions combining data platform engineering with AI/ML or BI, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, BI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education You have between 3 and 5 years of professional experience in a relevant technical role (for example: data engineer, platform engineer, DevOps engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge and hands-on experience with Microsoft Azure, in particular its managed services for data (for example Azure Data Lake, Azure Synapse, Azure SQL, Azure Databricks) and Microsoft Fabric.
 </li>
 <li>
 Solid experience with data processing and pipelines (for example SQL, Python, Spark or equivalent), in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools), ideally applied to Azure environments.
 </li>
 <li>
 Familiarity with modern data platforms and tools on Azure and Microsoft Fabric, and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of data security, governance, reliability and performance considerations for production data platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data engineers, data scientists, architects and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving data and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable data services while continuously improving them.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Data Platform Engineer

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
 </li>
 <li>
 You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
 </li>
 <li>
 You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
 </li>
 <li>
 You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
 </li>
 <li>
 You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
 </li>
 <li>
 You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
 </li>
 <li>
 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
 </li>
 <li>
 You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
 <li>
 Benefits of the role You will work at the heart of Orange Business&rsquo; AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
 </li>
 <li>
 Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
 </li>
 <li>
 Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of security, reliability and performance considerations for production platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

AI Platform Engineer

Aspire, Jordan

<div>
 
 We are looking for
 
 AI Platform Engineers
 
 to build and maintain core LLM-powered services and APIs to power the next generation of online learning tools. On this team, you&rsquo;ll design and implement services and infrastructure that will allow our feature teams to rapidly develop and deploy LLM-powered features that improve the teaching and learning experience of tens of millions of people around the world while maintaining our high standards for performance, security, and reliability.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from our product teams;
 
 
 Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing;
 
 
 Create developer tooling and documentation that makes integration with your services intuitive and easy;
 
 
 Establish best practices for AI and LLM use at Instructure, considering things like auditability, cost, and performance;
 
 
 Collaborate with feature teams to understand their needs and solve them with platform capabilities;
 
 
 Design, develop, and maintain scalable and performant APIs;
 
 
 Write clean, maintainable, and well-documented code;
 
 
 Participate in code reviews and provide and receive constructive feedback
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 What You&rsquo;ll Need
 
 
 <ul>
 <li>
 Prior software engineering experience with API design and distributed system development;
 </li>
 <li>
 Strong experience building backend services and REST or GraphQL APIs;
 </li>
 <li>
 Knowledge of API design best practices around security, performance monitoring, rate limiting, and more;
 </li>
 <li>
 Understanding of LLM integration and usage patterns;
 </li>
 <li>
 Strong collaboration and written and verbal communication skills;
 </li>
 <li>
 Past experience with cloud infrastructure, preferably on AWS;
 </li>
 <li>
 Experience with Node.js or a desire to learn;
 </li>
 <li>
 Experience with TypeScript or a desire to learn;
 </li>
 <li>
 Background in developer tooling and API documentation is preferred.
 </li>
 </ul>
 
 
</div>

Sumerge

<div>
 
 At Sumerge, our Platform Engineering team is at the core of our operational excellence, setting up robust infrastructure and integrating cutting-edge DevOps tools across diverse projects and client environments. The team specializes in deploying and managing container orchestration platforms like Kubernetes and Redhat OpenShift, and expertly configures databases such as MongoDB, event streaming platforms like Kafka to ensure seamless, scalable, and secure operations.&nbsp;
 
 
 By automating and optimizing our development pipelines, our platform engineers enable our development teams to deliver high-quality software solutions faster and more efficiently.&nbsp;
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement robust infrastructure solutions using container orchestration platforms like Kubernetes and Redhat OpenShift
 </li>
 <li>
 Configure and manage middleware technologies and databases such as Kafka, MongoDB, MS SQL, Redis ensuring data consistency, security, and accessibility
 </li>
 <li>
 Develop and maintain CI/CD pipelines to streamline development and deployment processes
 </li>
 <li>
 Collaborate with development teams to understand their infrastructure needs and provide expert guidance
 </li>
 <li>
 Design and implement observability and monitoring solutions
 </li>
 <li>
 Monitor system performance, troubleshoot issues, and ensure system reliability and efficiency
 </li>
 <li>
 Stay abreast of new technologies and continuously improve our infrastructure architecture based on evolving project and client needs
 </li>
 <li>
 Guide and mentor junior engineers
 </li>
 
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 B.S. or higher in Computer Science, Engineering, or a related technical field is preferred
 </li>
 </ul>
 <ul>
 <li>
 5+ years of experience in&nbsp;platform engineering, system administration, or a related field
 </li>
 <li>
 Strong expertise in Kubernetes and OpenShift, with proven experience in deploying and managing scalable applications
 </li>
 <li>
 Solid understanding of CI/CD methodologies and tools, and experience with DevOps automation tools (Jenkins , azure-DevOps , Gitlab-ci , Tekton)
 </li>
 <li>
 Excellent problem-solving skills and the ability to work collaboratively in a dynamic team environment
 </li>
 <li>
 Experience in Redhat Enterprise Linux operating system and Windows server
 </li>
 <li>
 Understanding DevOps practices and processes
 </li>
 <li>
 Demonstrated ability in security design and implementation practices, specifically in securing platforms and data in on-prem and cloud environment, including the implementation of security protocols and compliance measures
 </li>
 
 </ul>
 
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Experience with Redhat ACM , ACS&nbsp;
 </li>
 <li>
 Experience with deploying and administrating confluent/Kafka/MongoDB&nbsp;
 </li>
 <li>
 Experience with IBM cloudpaks&nbsp;
 </li>
 <li>
 Experience with Ansible/Teraform
 </li>
 </ul>
</div>

Staff Platform Engineer

Orange Egypt

<div>
 
 Purpose of the job
 
 
 
 As a data platform development senior engineer you'll work in a Big Data environment, to lead supervise and contribute to building an elastic , high performance computing and storage platform that underpins the diverse workloads running on data lake infrastructure.
 
 
 You will be working with the team on problems involving large scale distributed systems, service-oriented architectures, data and metadata storage, computing infrastructure automation and more.
 
 
 You will be expected to contribute to setting the standards, deliveries and process of the data platform engineering process. Training, leading and facilitating work for junior engineers. The candidate will play a vital role in leading the processes of mediating, governing and sweardship of corporate data sets. You will be working closely with the data analytics team to support mining, auditing, testing, researching and visualizing corporate data sets and with the business consumers and subject matter experts to drive smart data driven solutions and initiatives.
 
 
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Contribute in developing plans for the team according to the department strategic vision.
 </li>
 <li>
 Provide strong technical leadership to the team with a focus on quality, performance, and security.
 </li>
 <li>
 Foster a culture of creativity and innovation while also promoting practical decision making.
 </li>
 <li>
 Help growing the team by participating in the recruiting process.
 </li>
 <li>
 Collaborate with data scientists, data analysts, modelers and IT team members on project goals.
 </li>
 <li>
 Optimize the performance and support monitoring of data platform systems and computing infrastructure.
 </li>
 <li>
 Define and deliver on service availability and quality SLAs.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor degree of Engineering in Computer Systems, or Computer Science.
 
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5 to 7 years of hands-on software engineering experience
 </li>
 <li>
 Solid engineering fundamentals with extensive and strong software development experience.
 </li>
 <li>
 Experience coaching and mentoring junior software engineers.
 </li>
 <li>
 Experience and understanding of SDLC and Agile/Scrum procedures.
 </li>
 <li>
 Experience working in a big data environment and using big data tools is preferred.
 </li>
 <li>
 Experience with infrastructure as a code, automation and DevOps practices is preferred.
 </li>
 <li>
 Past experience in telecom operators and service providers is preferred.
 
 
 
 </li>
 </ul>
 
 Skills And Abilities
 
 
 
 <ul>
 <li>
 Very good English both written &amp; spoken.
 </li>
 <li>
 Excellent collaboration and communication skills and comfortable working across multiple teams.
 </li>
 <li>
 Strong hands-on skill, can drill deep into complex systems design and implementation.
 </li>
 <li>
 Strong problem solving and troubleshooting skills.
 </li>
 <li>
 Excellent knowledge of database systems.
 </li>
 <li>
 Excellent programming and debugging skills.
 </li>
 <li>
 Good systems administration skills.
 
 </li>
 </ul>
</div>

Sr. Software Development Engineering

Lucidya | لوسيديا

<div>
 Lucidya is a leading AI-powered Customer Experience Management (CXM) platform in the MENA region, enabling enterprises to understand, engage, and serve customers across digital channels at scale.
 
 
 As we move toward IPO-scale, we are rebuilding parts of our platform to achieve:
 
 
 <ul>
 <li>
 Extreme reliability (SLO-driven engineering)
 </li>
 <li>
 High-scale distributed processing (billions of data points)
 </li>
 <li>
 AI-native architecture (LLM + real-time intelligence)
 
 
 </li>
 </ul>
 We don't optimize for titles, we optimize for impact! Whether you are junior or senior doesn't matter and what matters is your ability to move faster and think deeper than the average engineer. We operate with extreme ownership. Problems don't belong to teams or tickets where they belong to whoever sees them. The right person for this role doesn't walk past a broken system. If something is failing, you fix it even if it's not "your job."
 
 
 
 What You Will Work On
 
 
 
 
 Microservices &amp; Distributed Architecture
 
 
 
 <ul>
 <li>
 Design and operate high-throughput, event-driven pipelines across a 100+ microservice ecosystem handling billions of data points
 </li>
 <li>
 Build and scale distributed messaging systems with RabbitMQ, backpressure management, consumer scaling, and queue health
 </li>
 <li>
 Develop and maintain API gateway layers with advanced routing (multi-upstream, traffic splitting, environment isolation)
 </li>
 <li>
 Architect SSO and identity federation for enterprise clients, supporting multi-IdP routing with zero coupling to core services
 </li>
 <li>
 Define clean service boundaries across ingestion, processing, and delivery pipelines spanning Ruby and Python
 
 
 </li>
 </ul>
 
 Performance &amp; Systems
 
 
 
 <ul>
 <li>
 Diagnose and resolve complex production issues (e.g., deadlocks, queue exhaustion, connection pool saturation) &mdash; and eliminate root causes
 </li>
 <li>
 Optimize PostgreSQL for heavy write workloads, contention management, schema design, triggers, and connection scaling
 </li>
 <li>
 Design and tune Elasticsearch for search, indexing, and real-time Arabic relevance at scale
 </li>
 <li>
 Make informed trade-offs between multi-process and async architectures based on workload characteristics
 
 
 </li>
 </ul>
 
 Observability &amp; Reliability
 
 
 
 <ul>
 <li>
 Build and maintain observability across a large-scale system using Grafana, Loki, distributed tracing, and SLOs
 </li>
 <li>
 Own production incidents end-to-end, tracing failures across queues, search systems, and external integrations
 </li>
 <li>
 Lead root cause analysis and implement preventative measures across multi-service pipelines
 </li>
 <li>
 Build internal tooling that improves engineering velocity, automation, deployment gating, and review enforcement
 </li>
 <li>
 Turn architectural principles into enforceable standards and guardrails, not just documentation
 
 
 </li>
 </ul>
 
 Platform Evolution
 
 
 
 <ul>
 <li>
 Drive platform decoupling and service isolation across the system
 </li>
 <li>
 Contribute to Kubernetes migration and infrastructure modernization
 </li>
 <li>
 Standardize and improve CI/CD pipelines across services
 
 
 </li>
 </ul>
 
 Stack
 
 
 
 Ruby on Rails
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 Elasticsearch
 </li>
 <li>
 Redis
 </li>
 <li>
 RabbitMQ
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 AWS / GCP
 </li>
 <li>
 APISIX
 </li>
 <li>
 Grafana + Loki
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Strong foundation in distributed systems. You understand failure modes before you write the first line
 </li>
 <li>
 Hands-on experience with event-driven architecture and message queues in production
 </li>
 <li>
 Deep comfort with concurrency, backpressure, and fault tolerance
 </li>
 <li>
 Track record debugging complex production issues &mdash; not just fixing them, preventing them
 </li>
 <li>
 Experience with Rails or Python backends at meaningful scale
 </li>
 <li>
 You improve systems you weren't asked to touch
 
 
 </li>
 </ul>
 
 This Role is a Strong Fit If You...
 
 
 
 <ul>
 <li>
 Read and understand an existing codebase by week one
 </li>
 <li>
 See a broken system and fix it before anyone asks you to
 </li>
 <li>
 Have strong opinions about architecture and can back them up with data
 </li>
 <li>
 Think in systems: latency, throughput, failure modes, and cost at scale
 </li>
 <li>
 Treat documentation, tests, and observability as non-negotiable defaults and not afterthoughts
 </li>
 <li>
 Ship fast and without breaking things. Speed and quality are not a trade-off for you
 </li>
 <li>
 Consistently exceed expectations where meeting the bar is a floor, not a target
 </li>
 <li>
 Are hungry for hard challenges and actively seek problems at the edge of your limits
 </li>
 <li>
 Feel a sense of urgency that doesn't require external pressure
 </li>
 <li>
 Have rebuilt or stabilised something significant and can talk about it concretely
 
 
 </li>
 </ul>
 
 Why Lucidya
 
 
 
 <ul>
 <li>
 Real scale with billions of events and not just toy systems
 </li>
 <li>
 Direct impact at CTO and executive level
 </li>
 <li>
 Pre-IPO with clear trajectory and your work has real impact on clients
 </li>
 </ul>
</div>

10x Software Engineer

ZainTECH

<div>
 The Cloud Engineer - Azure (L2) is responsible for delivering Azure-based Professional Services with a focus on cloud migration, landing zone deployment, hybrid networking, and optimization initiatives.
 
 
 This role requires hands-on experience in real customer environments, supporting end-to-end Azure implementations and ensuring successful delivery across migration and transformation projects.
 
 
 Responsibilities:
 
 
 Migration &amp; Modernization
 
 
 <ul>
 <li>
 Execute workload migration projects including:
 </li>
 <ul>
 <li>
 On-premises (VMware / Hyper-V) to Azure
 </li>
 <li>
 Azure to Azure migrations
 </li>
 <li>
 Other cloud platforms to Azure
 </li>
 </ul>
 <li>
 Perform Azure Migrate assessments, including right-sizing and cost analysis
 </li>
 <li>
 Plan and execute migration and DR scenarios using Azure Site Recovery (ASR)
 
 
 </li>
 </ul>
 Azure Platform Deployment
 
 
 <ul>
 <li>
 Design and deploy Azure Landing Zones aligned with governance and architecture standards
 </li>
 <li>
 Conduct brownfield assessments of existing environments and recommend optimization strategies
 </li>
 <li>
 Implement cost optimization measures aligned with Azure best practices
 
 
 </li>
 </ul>
 Networking &amp; Connectivity
 
 
 <ul>
 <li>
 Design and implement hybrid networking solutions including:
 </li>
 <ul>
 <li>
 Site-to-Site VPN
 </li>
 <li>
 Point-to-Site (P2S) VPN
 </li>
 <li>
 ExpressRoute connectivity
 </li>
 </ul>
 <li>
 Configure and manage network security appliances (FortiGate or similar)
 
 
 </li>
 </ul>
 Containerization &amp; Platform Services
 
 
 <ul>
 <li>
 Deploy and manage workloads on Azure Kubernetes Service (AKS)
 
 
 </li>
 </ul>
 Delivery &amp; Support
 
 
 <ul>
 <li>
 Work directly with customers to deliver Professional Services engagements
 </li>
 <li>
 Provide L2-level troubleshooting and support for Azure environments
 </li>
 <li>
 Collaborate with internal teams for solution design and delivery
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of hands-on experience in Microsoft Azure
 </li>
 <li>
 Proven experience in customer-facing delivery projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <ul>
 <li>
 Azure Migrate (Assessment &amp; Migration)
 </li>
 <li>
 Azure Site Recovery (ASR)
 </li>
 <li>
 Azure Landing Zone deployment
 </li>
 <li>
 Migration scenarios (VMware, Hyper-V, Azure-to-Azure, multi-cloud)
 </li>
 </ul>
 <li>
 Strong knowledge of hybrid networking, including:
 </li>
 <ul>
 <li>
 ExpressRoute
 </li>
 <li>
 Site-to-Site VPN
 </li>
 <li>
 Point-to-Site VPN
 </li>
 </ul>
 <li>
 Experience in:
 </li>
 <ul>
 <li>
 Brownfield environment assessment
 </li>
 <li>
 Azure cost optimization practices
 </li>
 </ul>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 Azure Kubernetes Service (AKS)
 </li>
 <li>
 FortiGate or similar cloud firewall appliances
 </li>
 </ul>
 </ul>
</div>

Cloud Engineer - Azure (Professional Services)

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Cloud Engineer - Azure (Professional Services)