Cloud Workforce Service

Empower your business with cloud specialists who boost productivity

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Our Cloud Workforce Service gets results

Our Cloud Workforce Service delivers the talents and domain expertise organizations need to implement cloud solutions. Preselected cloud specialists operating in a Time & Materials model help maximize cloud technology’s efficiency, create new revenue streams and drive business growth.

Cloud Service workers at computers

A tailor-made Cloud Workforce Service enables you to:

Accelerate your business and expand development capacity
Control costs through flexible time and materials pricing
Strengthen internal skills through comprehensive knowledge transfers
Take advantage of a short contract period (starting from 6 months)

Cross-functional cloud experts, on demand

Programming, Serverless, Big Data, IoT, Kubernetes, Al/ML, SQL, Power BI, Mobile Apps, Data Processing, Data Engineering. Security, Architecture, lac (Terraform, Bicep), Infrastructure, Data Science, Software Development, Automation
Cloud Engineer, Cloud Architect, Cloud Data Engineer, Cloud DevOps Engineer
Mid-Level, Senior, Lead

Cloud competencies that deliver value

Learn about the skill sets of the cloud professionals best suited to your company's needs and goals by exploring Competences Set Cards that detail our specialists’ experiences, certificates, cloud expertise and tech talents.

Senior Cloud Architect

An architect who works with .NET, Node.JS and implements solutions with Microsoft Azure and Cloud Computing Services. Specializes in building distributed applications, loT solutions and data processing systems. Leads projects based on Platform as a Service (PaaS) and Anything as a Service (XaaS) technologies.


Infrastructure, Data Engineering, ML/AI, Software Development, Security, K8s, Architecture, IoT, BI, Mobile, BigData
Infrastructure, Data Engineering, ML/AI, Software Development, Security, K8s, Serverless, Big Data, Architecture, IoT, BI, Mobile


  • C#
  • .NET
  • NodeJS
  • TensorFlow
  • Video
  • Project Management


Google Cloud Platform Professional Cloud Architect
Google Professional Data Engineer
Google Cloud Professional Cloud Security Engineer
Microsoft Azure Developer Associate
TensorFlow Developer Certificate

Cloud Data Engineer

A cloud data engineer who deals with architecture, software development and building advanced data processing systems. Highly skilled in creating AI/ML solutions in Microsoft Azure, Amazon Web Services and Alibaba Cloud.


Programming, Serverless, Big Data, IoT, K8s, Machine Learning, SQL, BI, Mobile Apps, Data Processing, Data Engineering
Programming, Infrastructure, Big Data, IoT, Machine Learning, QL, Mobile Apps, Data Processing, Data Engineering


  • Java SQL
  • Git
  • Python
  • Solr
  • PostgreSQL
  • PHP
  • JPA
  • JavaScript
  • Spring Framework
  • Elastic Search
  • DynamoDb


Microsoft Azure Fundamentals
Microsoft Certified: Azure Data Engineer Associate (DP 200 i 201)
Alibaba Cloud Computing Professional
AWS Certified Solution Architect – Associate
edX – Learning from Data, Software as a Service

Cloud Engineer

A cloud engineer who oversees the design, migration and implementation of cloud solutions. Experienced working on new and existing projects in various clouds and capable of building safe, efficient and robust cloud environments.


Architecture, Infrastructure, IaaC, IoT, Monitoring, DevOps, Kubernetes, Azure, Pipelines, Governance, Security
Architecture, Infrastructure, IaaC, IoT, Monitoring, DevOps, Kubernetes, Azure, Pipelines, Governance, Security


  • .Net
  • Kubernetes
  • Terraform
  • C#
  • CI/CD
  • Python
  • Linux
  • Lambda
  • DynamoDb
  • Cloudformation
  • EC2
  • SQL
  • JavaScript


AWS Certified Solutions Architect – Associate
AWS Partner: Cloud Economics Accreditation
AWS Cerified Solutions Architect - Professional
Microsoft Azure Fundamentals
Azure Developer Associate

Cloud AI Engineer

A developer who designs and builds solutions such as websites and applications based on the Microsoft Azure cloud platform. Deeply engaged in planning processes based on services offered by Microsoft Azure, from development and testing to implementation.


Architecture, SQL Server, Azure DevOps, Terraform


  • C#
  • JavaScript
  • Security
  • MVC
  • Git
  • React.JS
  • Software architecture
  • Node.JS
  • Angular
  • TypeScript
  • Identity: Identity Server
  • QAutch
  • OIDC


Azure Fundamentals
Azure AI Engineer Associate
Azure DevOps Engineer Expert
Azure Developer Associate

Cloud DevOps Engineera

A cloud DevOps engineer, AWS consultant and architect who designs and implements solutions based on AWS technologies. Experienced working on international projects in the energy and industrial sectors.


Kubernetes, Terraform, Infrastruture as a code, Automation, Networking, CI/CD pipelines, Cost Optimization, Architecture, Serverless
Kubernetes, Terraform, Infrastruture as a code, Automation, Networking, CI/CD pipelines, Cost Optimization, Architecture, Serverless


  • ElasticSearch
  • Kubernetes
  • Terraform
  • C#
  • Helm
  • Python
  • SQL
  • JavaScript
  • .Net
  • Linux
  • Jenkins


AWS Certified Solutions Architect – Associate
AWS Partner: Cloud Economics Accreditation
AWS Certified Solutions Architect - Professional
Azure Devops Engineer Expert
Azure Developer Associate

5 steps to getting the right Cloud Workforce Service talent

  • STEP 1

    Request and interview

    Conduct a short interview with a potential partner to better understand their offers, skills and tech stacks.

  • STEP 2

    Proposal of cooperation

    Propose conditions and agree on a contract that establishes responsibilities, timelines and the time and materials price range.

  • STEP 3

    Skills matching

    Choose the cloud professionals you need, based on your specific cloud-related goals.

  • STEP 4

    Assignment of cloud professionals

    Review preselected cloud experts' blind CVs and arrange interviews with chosen specialists.

Meet our cloud leaders

Competencies remain the cornerstone of our Cloud Workforce Service, so our cloud leaders ensure that every cloud professional constantly develops their skills.

Jakub Ramut

Senior Cloud DevOps & Team Leader

With over a decade of experience with Microsoft technologies, Jakub specializes in Azure. Closer to Dev than Ops, he’s served as a developer, tech lead, cloud/software and solution architect in the financial, banking, transportation and sports industries. A keen automation enthusiast, Jakub believes in an “Everything as a Code” approach.

Maciej Wolańczyk

Senior Cloud Architect & Tech Lead

A cloud consultant and architect with extensive experience in assessing organizations’ readiness for cloud computing, Maciej excels at creating service maps and overseeing security issues as part of a Cloud Adoption Framework. His vast knowledge of cloud computing technologies and current trends, combined with experience in managing teams, makes Maciej a valuable asset on any cloud project.

Krzysztof Kopieczek

Senior Cloud Engineer & Team Leader

Krzysztof is a programmer with almost a decade of professional experience, three years of which spents as a team leader. He has been working with Microsoft technologies for his entire career, so Azure cloud implementations come naturally to him. Along with being a Microsoft Azure Certified Azure Solutions Architect Expert, Krzysztof is a cloud community podcaster and blogger

Piotr Kalinowski

Senior Cloud Data Engineer & Team Leader

A cloud data engineer with extensive experience with architectures, software development and building advanced data processing systems, Piotr has worked with the largest institutions in the financial sector. Along with developing AI/ML solutions in AWS, Microsoft Azure, Oracle, and Alibaba Cloud, he is an avid cloud blogger.

Cloud Workforce Service FAQs

Cloud Workforce is a unique service that offers organizations a flexible, scalable, and cost-effective way to access the specialized expertise they need to succeed in a cloud environment by taking advantage of the latest cloud technologies and trends. A Cloud Workforce Service provides comprehensive knowledge transfers to internal teams that strengthen their competencies and ensure they have the skills they need to drive their company’s growth.

By using a Cloud Workforce Service, organizations can use flexible time and materials pricing to smoothly scale resources up or down, as needed. A short contract period, starting from just six months, enables organizations to quickly tap into specialized expertise without committing to long-term contracts, making it easier to respond rapidly to changing business needs and market demands.

A cloud operating model is a framework for managing and operating an IT infrastructure and applications in a cloud environment. Unlike traditional IT operating models, it emphasizes automation and self-service, which enables it to manage resources quickly, without manual intervention. A cloud operating model increases scalability and enhances agility, while maximizing value.

Services Software Mind provides

Software Mind's data science services empower companies to gain a better understanding of their businesses and create actionable insights for a competitive edge.
Companies need an experienced partner to prepare and execute a customized cloud strategy. Our team provides cloud computing services that enhance effectiveness and create new revenue streams.
Software Mind’s proven record of designing customized digital transformations shows how our specialists boost business development, optimize investment and bring innovative ideas to life.

Cloud Insights

Learn more about cloud computing solutions and technologies from our experts:

Five Pivotal Cloud Computing Trends That Will Shape 2023

Leveraging Cloud-Based AI/ML Services to Elevate your Business

Your Essential Guide to Cloud Migrations and Optimizations ebook

We may already be just one Email away from working together!

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Klaudia Czarnecka
Delivery Manager
Piotr Brzózka
Sales Director
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