Virtualization Engineer Jobs

We are looking for an Enterprise Cloud Engineer to manage, monitor, automate, and optimize AWS and Azure cloud infrastructure in a commercial environment. The role involves cloud operations, infrastructure automation, monitoring, security, performance management, capacity planning, and cloud migration while supporting both cloud and on-premise environments.Key Responsibilities:Provision, deploy, configure, and monitor AWS and Azure cloud environments.Automate infrastructure using Terraform, CloudFormation, Python, Docker, Salt, and Puppet.Architect and manage AWS and Azure virtual machines following cloud best practices.Install, configure, and maintain operating systems, databases, applications, and development environments.Monitor infrastructure and application performance using tools such as AWS CloudWatch, Nagios, New Relic, Grafana, PRTG, and SolarWinds.Identify performance bottlenecks and implement infrastructure improvements.Plan resource scaling and implement auto-scaling solutions based on workload requirements.Monitor cloud infrastructure costs and identify cost optimization opportunities.Manage users, policies, and cloud security controls.Design and support public/private cloud migration solutions.Support on-premise to cloud migration projects and infrastructure modernization.Manage infrastructure capacity, availability, utilization, and expansion requirements.Provision, maintain, and monitor MSSQL and MySQL databases.Manage Microsoft infrastructure services including Active Directory, DNS, DHCP, Azure AD, and Azure AD Connect.Support web applications, middleware platforms, and infrastructure services.Develop support processes, work plans, risk management plans, and technical schedules.Collaborate with infrastructure, network, database, application, and service teams.Participate in on-call support and resolve infrastructure issues when required.Required Skills & Qualifications:4-7 years of experience in Cloud Infrastructure, Cloud Engineering, DevOps, or Infrastructure Administration.Strong hands-on experience managing both AWS and Azure cloud environments.Experience with on-premise to cloud migration projects.Strong scripting skills in Python, Shell, and PowerShell.Experience with Terraform and/or CloudFormation.Good knowledge of virtualization, high availability, performance tuning, and capacity planning.Experience with cloud monitoring and observability tools such as CloudWatch, Nagios, New Relic, or Grafana.Knowledge of AWS/Azure scaling, web services, database services, and caching infrastructure.Experience with MSSQL and MySQL provisioning, maintenance, and monitoring.Strong knowledge of Microsoft infrastructure services including Active Directory, DNS, DHCP, Azure AD, and Azure AD Connect.Understanding of web applications and middleware such as Tomcat and Python frameworks.Knowledge of server, storage, and data centre infrastructure.Understanding of Agile and Waterfall methodologies.Strong troubleshooting, communication, presentation, and collaboration skills.Certifications:Required: AWS Certified Solutions ArchitectDesirable: Red Hat CertificationDesirable: MCSE - Cloud Platform and Infrastructure

Required QualificationsBachelor's Degree in Computer Science, Information Technology, Electronics, or a related field.Basic knowledge of Windows/Linux operating systems.Understanding of networking concepts such as TCP/IP, DNS, DHCP, and LAN/WAN.Familiarity with hardware troubleshooting and system administration.Strong analytical and problem-solving skills.Good verbal and written communication skills.

Design and develop microservices using Go that power our AI cloud platform`s core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou`ll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingKnowledge of Mandarin.

Knowledge of virtualization platforms and associated technologies including (but not limited to) thefullVMware stack (ESXi, vCenter, vSAN, NSX, and the vRealize Suite) Should have good hands-on experience on designing & solutioning & implementing Vsphere, Vcenter,VRA,VRO, VCS & VROPs Understanding of configuration management and software defined data centre (SDDC) infrastructure Must have good understanding of Cloud platforms viz AWS, Azure etc. and ability to design anddeliver solutions around it Knowledge of embedded solutions on AWS, Azure etc. (For example VMC on AWS, VMware Horizon onAzureetc) Ability to develop/build IT solutions to meet business requirements Ability to implement & troubleshoot Documentation, organization, and time management skills Take initiative to improve processes, procedures, skills, and technical knowledge Excellent communication & presentation skills

Kiffcom is a growing company in the field of online sales, specializing in modernizing companies by helping them to go digital and optimize their processes to improve their competitiveness.We are currently looking for a computer engineer to join our dynamic team. The ideal candidate will be responsible for project management, with strong expertise in software development, Linux management and Python development. The ideal candidate will be responsible for setting up and optimizing the project, managing and automating development, test and production environments, performance monitoring and availability of applications, as well as the rapid resolution of technical problems.During your contract, you will have access to all procedures related to the development and management of the infrastructure for Kiffcom and its international partners.As a member of the team, you will also have the opportunity to discover new tools and technologies, propose improvements to optimize the efficiency and quality of the software development process and work closely with developers. and operations to improve communication and collaboration.Joining our team as a computer engineer is a motivating challenge for your career, allowing you to develop your technical skills while contributing to the growth of the company.

We are looking for an accomplished Technical Artist. The ideal candidate will have a thorough understanding of art and animation pipelines in general and of the content creation pipeline and Blueprints system in Unreal. A high level of technical knowledge combined with strong creative and visual instincts is critical. The Technical Artist will assist teams of artists in tackling projects and be equipped to provide support on complicated technical issues within Unreal. Junior Level: 1+ years Mid Level: 4+ years Senior Level: 7+ yearsResponsibilities: Work with the CG Lead / Creative Director to design and build interactive experiences using Unreal. Experience/Gameplay Creation - Create interaction and functionality using Unreal's Blueprints system Material Creation - Design complex materials in Unreal and instruct artists on best practices for material creation. Lighting - Be well versed in the various lighting techniques in Unreal and instruct the artists in lighting best practices. Optimization - Optimize content through profiling and enhancing performance with the help of diagnostic tools and instructing the artists on modelling and texturing best practices. Collaborate with developers to develop and test new features, prototype shader code, and provide useful feedback during R&D phases. QualificationsEssentials: Extensive experience working with Unreal Engine Advanced experience of Unreal's Blueprints system Advanced experience with Maya Comfortable in a range of content creation software including Photoshop, Zbrush/Mudbox, Substance Designer/Painter, Houdini Any of the following technical skills is a bonus: Experience with VR/AR authoring in Unreal Maya Rigging experience Shader programming experience Scripting skills with MEL, Python, C#, Javascript and C++

Primary Responsibilities:The role requires significant interaction with clients, which will be face-to-face or over the telephone. The varied tasks carried out by the Techno Commercial Sales Representative include: Understanding customers' diverse, specific business needs and applying product knowledge to meet those needs Ensuring quality of service by developing a thorough and detailed knowledge of technical specifications and other features of employers' systems and processes, and then documenting them Identifying and developing new business through networking as well as courtesy and follow-up calls Cold-calling in order to create interest in products and services, generate new business leads and arrange meetings Preparing and delivering customer presentations and demonstrations of the software, articulately and confidently Maintaining awareness and keeping abreast of constantly changing software and hardware systems and peripherals Developing effective sales plans for end-customers as well as channel partners using sales methodology Working with sales engineers to provide technical advice to customers on all aspects of the installation and use of computer systems and networks, both before and after the sale Advising on software features and how they can be applied to assist in a variety of contexts, such as accounting, manufacturing or other specialist areas Meeting sales targets set by managers and contributing to team targets Networking with existing customers in order to maintain links and promote additional products and upgrades Handling hardware or software problems and faults and referring on to specialist technical colleagues Responding to tender documents, writing proposals, reports and supporting literature Managing your own diary in order to organize and prioritize daily and weekly goals Contributing to team or progress meetings to update and inform colleagues

Design and develop microservices using Go that power our AI cloud platform`s core functionalityBuild and maintain Kubernetes-based infrastructure for container orchestration and workload managementImplement and optimize cloud native solutions for scalability, reliability, and performanceContribute to code reviews, technical documentation, and knowledge sharing within the engineering teamExplore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutionsDesign distributed systems architecture for high-availability AI workload processingCollaborate with DevOps and SRE teams to ensure production reliability and monitoringLeverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code qualityYou`ll thrive here if you7+ years of software engineering experience with focus on distributed systems and cloud native technologiesStrong proficiency in Go with deep understanding of concurrency patterns and standard librariesFamiliarity with Python or other backend languages for polyglot development environmentsHands-on Kubernetes experience including development, deployment, and maintenance of production clustersSolid understanding of microservices architecture design patterns and implementation best practicesExperience with containerization technologies (Docker, containerd) and container runtime optimizationProblem-solving mindset with ability to independently design and implement complex system componentsStrong collaboration and communication skills for working in cross-functional teamsExperience using AI-assisted coding tools and willingness to integrate them into development workflowBonus qualificationsFamiliarity with cloud native ecosystem tools such as Prometheus, Grafana, Volcano, or service mesh technologiesOpen source contributions to cloud native projects (Kubernetes, CNCF ecosystem)Experience with large-scale Kubernetes cluster operations and troubleshooting in production environmentsKnowledge of microservices architecture patterns including circuit breakers, service discovery, and distributed tracingKnowledge of Mandarin.

-DEVOPS-Linux-Bigdata-Python/Perl SCRIPTING-Debugging skills/monitoring-Basic knowledge on Cloud/Virtualization/NetworkingMerlin Gokavi