דרושים » תוכנה » Cloud Architect

We are looking for highly skilled and experienced Azure Cloud Architect to shape cloud architectures tailored to specific business needs and to provide leadership and expertise on the development of new cloud services and technologies. Beyond the technical expertise, were looking for someone who is analytical, has a strong sense of responsibility, and is passionate about staying ahead of the curve in cloud technologies.
Responsibilities:
Designing, implementing, and optimizing Azure cloud architectures tailored to specific business needs
Analyzing current technologies used within the company and determining ways to enhance Azure-based solutions
Providing leadership and expertise in the development of new Azure-based cloud services and technologies
Conducting in-depth research on emerging Azure cloud technologies, including Kubernetes (K8s) for Azure, to guide infrastructure development efforts
Collaborating with cross-functional teams to ensure successful Azure cloud project delivery and integration.
Defining and enforcing best practices for Azure cloud governance, security, and compliance, including Kubernetes orchestration on Azure Kubernetes Service (AKS).

We are looking for an Azure Cloud Architect and DevOps to join us.
Job description
A Cloud Architect/Specialist installs, implements, configures, and supports Cloud environments, providing large-scale Public Cloud solutions.
The job includes hands-on activities in customers sites and remotely to ensure successful integration.
As a Cloud Architect/Specialist, you will handle different projects in diverse fields of knowledge and services such as:
Microsoft Azure.
Cloud infrastructures.
DevOps.
Kubernetes.
Databases.
Hybrid infrastructures.
Escalation troubleshooting.
Writing automation processes deployment.

We are seeking a highly capable Data Architect to lead our data services at the CTO office. This role is perfect for someone who enjoys crafting their path and is eager to drive the development of modern data architecture. You will begin by assessing customer needs and adapting to rapidly changing data trends, boldly pivoting strategies whenever necessary. Your focus will be on establishing a robust presale infrastructure that addresses both technical and business aspects, collaborating closely with our partners, and working alongside our data delivery team providing technical mentorship.
Responsibilities:
Identify and evaluate emerging technologies and trends in data management and analytics, recommending strategic adoption to enhance data capabilities
Build a data offering presale infrastructure that integrates both technical and business elements
Forge and nurture partnerships with major vendors and service providers
Lead and execute POCs to demonstrate the viability and benefits of proposed solutions
Create and disseminate knowledge via blog posts, participate in meetups, and speak at conferences
Actively engage in data project pre-sales opportunities
Collaborate with the data team to enhance project delivery and client satisfaction.

We are looking for a Senior Infrastructure Engineer.
The Senior Infrastructure Engineer is an expert in operations of enterprise virtualization, compute, storage and data protection solutions. This multifaceted role will drive and deliver against operational best practices and global standards.
The Senior Infrastructure Engineer will be a knowledge and thought leader whose experience and expertise will help mentor junior members. They will lead by example in all processes and procedures; identify and recommend improvements to existing operations and practices; review, design, and implement new technology.
In this role, you will:
Plan, Deliver and Standardize environment of Highly Available, Reliable Computing Virtualization Systems, Storage and Data Protection against architectural standards.
Drive to standards, policies, configuration guidelines and procedures for infrastructure operations.
Manage Performance tuning and Capacity Planning of production systems and storage
Optimize and maximize computing and storage resources in relation to business requirements.
Provide technology insight and response to inquiries from internal departments and organizations.
Work with vendors and partners on issues relating to the Data Center Infrastructure.
Build partnerships with vendors to ensure operational excellence and security practices.
Project management of internal infrastructure projects and short-term task goals.
Implement improved methods and tools for troubleshooting incidents and root cause analysis
Work within the companys project standards and methodologies.
Manage cross-functional Engineering projects.

we are looking for an expert IT architect to join the infrastructure team, to help design distributed systems and help write technical documents.

If you're an IT architect who loves challenges, can be a leading and responsible authority, enjoys working with clients around the world, and wants to be part of a highly experienced and motivated team using best practice methodologies you belong to us!

we are expanding our team and seeking a skilled and motivated Data and AI Technical Solution Specialist to drive excellence in solution design and implementation.
You will have access to the latest education, tools, technology, and a limitless career path with the worlds technology leader. Come to us and make a global impact!
Your Role and Responsibilities:
As a Data and AI Solution Architect, you will be responsible for leveraging data-driven insights and artificial intelligence to solve complex business problems, drive innovation, and create value across various sectors.
To excel in this role, you should possess a unique combination of skills and experiences in the following areas:
-Data Science and Machine Learning: Proficiency in using data science and machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Foundational models, LLMs, prompt engineering, and model tuning.
-Data Analysis and Modeling: Expertise in handling and analyzing large datasets, applying data mining and predictive modeling techniques to extract insights and inform decision-making.
-Database Management: Familiarity with database technologies, including both SQL and NoSQL, and experience with big data technologies such as Hadoop and Spark.
-Cloud Computing: Knowledge of cloud computing platforms and experience with big data technologies.
-Collaboration and Communication: Ability to work closely with cross-functional teams, including stakeholders and non-technical personnel, to translate complex data insights into actionable business strategies. Experience with agile methodologies and project management tools may also be beneficial.
In this role, you will be expected to demonstrate a deep understanding of algorithms, data structures, and software engineering principles, as well as the ability to apply these skills to drive business value through data-driven insights and AI solutions.