IT Outsourcing Services

Front-End Developer: A front-end developer is responsible for designing and developing the user interface (UI) of websites and applications. They use HTML, CSS, and JavaScript to create responsive and interactive UIs that enhance user experience. They work with various frameworks including: React, Angular, Vue.js, Bootstrap, Materialize, Foundation, .NET, and jQuery.

Back-End Developer: A back-end developer is responsible for designing and developing the server-side of websites and applications. They work with databases, APIs, and server-side programming languages like Java, Python, Ruby on Rails, PHP, C#, or Node.js to create scalable and secure back-end systems.

Full-Stack Developer: A full-stack developer is responsible for designing and developing both the front-end and back-end of websites and applications. They have a wide range of skills and knowledge, including web development frameworks, programming languages, and databases.

Mobile Developer: A mobile developer is responsible for designing and developing mobile applications for iOS or Android devices. They use programming languages like Swift, Objective-C, Java, or Kotlin to create mobile applications that provide a seamless user experience on mobile devices.

DevOps Developer: A DevOps developer is responsible for developing and maintaining the infrastructure and processes that enable continuous integration and delivery (CI/CD) of software applications. They work with automation tools, cloud computing services, and infrastructure-as-code (IAC) frameworks to create scalable and efficient development pipelines.

Embedded system/IoT developer: An embedded system developer works with hardware engineers to develop software that can control the embedded systems such as IoT. They must have knowledge of computer hardware and software, as well as experience with programming languages like C and C++ that are commonly used in embedded systems development.

These are some of the most common developer roles in IT. However, the specific roles and responsibilities may vary depending on your organization and the industry.

Manual Tester: A manual tester is responsible for manually testing software applications to ensure that they meet the quality standards. They create test cases, execute them, and report any issues or bugs to the development team

Performance Tester: A performance tester is responsible for testing the performance of software applications. They simulate high loads on applications to ensure they can handle peak traffic and usage without crashing.

Test Lead: A test lead is responsible for managing the testing process and ensuring that it is completed on time and within budget. They create test plans, allocate resources, and monitor the progress of the testing.

Test Manager: A test manager is responsible for managing the entire testing process, from planning to execution. They ensure that the testing process meets the quality standards and that the testing team is working effectively.

Quality Analyst: A quality analyst is responsible for analyzing software applications and identifying areas where the quality can be improved. They work closely with the development team to resolve any issues or bugs and ensure that the application meets the quality standards.

These are some of the most common QA roles in IT. However, the specific roles and responsibilities may vary depending on your organization and the industry.

Business Analyst: A business analyst works with stakeholders to identify and analyze business needs and problems, and recommends solutions that align with the organization’s goals and objectives.

Systems Analyst: A systems analyst is responsible for designing, implementing, and maintaining information systems. They analyze system requirements, develop system specifications, and create system prototypes.

Data Analyst: A data analyst collects, analyzes, and interprets large sets of data to identify patterns and trends. They use statistical analysis and data visualization tools to help businesses make data-driven decisions.

Security Analyst: A security analyst is responsible for protecting your computer systems and networks from cyber threats. They analyze potential security risks, develop security protocols, and implement security measures to prevent attacks. They also perform forensic analysis of incidents.

Network Analyst: A network analyst is responsible for designing, implementing, and maintaining an organization’s computer networks. They analyze network requirements, develop network specifications, and troubleshoot network issues.

Quality Assurance (QA) Analyst: A QA analyst is responsible for testing software applications to ensure they meet the organization’s quality standards. They identify defects and bugs, and work with developers to resolve them.

These are just a few examples of the many types of analysts that work in the IT industry. The specific job titles and responsibilities may vary depending on your organization and industry.

Data Engineers: Data engineers design, build, and maintain the infrastructure required to collect, store, process, and analyze large volumes of data. They are responsible for the data pipelines that move data from various sources to the data platform, and for ensuring that the data is clean, accurate, and properly formatted.

Data Scientists: Data scientists analyze and interpret the data collected by the data platform to gain insights and inform decision-making. They use statistical models and machine learning algorithms to identify patterns and trends in the data and to develop predictive models.

Data Analysts: Data analysts work closely with data scientists to analyze data and to develop reports and dashboards that communicate key insights to stakeholders. They use tools like SQL, Excel, and Tableau to analyze data and to develop visualizations that make it easy for non-technical stakeholders to understand.

Database Administrators: Database administrators are responsible for managing the databases that store the data collected by the data platform. They ensure that the databases are properly configured, optimized for performance, and secure.

DevOps Engineers: DevOps engineers are responsible for the deployment, integration, and testing of the data platform. They work closely with data engineers and database administrators to ensure that the platform is scalable, reliable, and can handle large volumes of data.

Product Managers: Product managers are responsible for the overall vision and strategy of the data platform. They work closely with all the other roles to ensure that the platform meets the needs of stakeholders and that it aligns with the organization’s goals.

Development of data platforms requires a multidisciplinary team with a range of technical and non-technical skills. The specific job titles and responsibilities may vary depending on your organization and industry.

Project Manager: The project manager is responsible for overall planning, execution, and completion of a project. They lead the team, manage stakeholders, develop and maintain project schedules, budgets, and resources, and oversee the project’s progress from start to finish.

Project Coordinator: The project coordinator assists the project manager with planning, scheduling, and coordinating project activities. They may be responsible for tracking progress, monitoring budgets, preparing reports, and communicating with stakeholders.

Technical Lead: The technical lead is responsible for managing the technical aspects of the project. They work with developers and engineers to ensure that technical solutions align with project requirements, are properly tested and integrated, and are delivered on time.

Quality Assurance Manager: The quality assurance manager is responsible for ensuring that project deliverables meet quality standards. They develop and implement quality control processes, test plans, and procedures to ensure that project deliverables meet stakeholder expectations.

Change Manager: The change manager is responsible for managing changes to the project scope, budget, and schedule. They work with the project team and stakeholders to assess change requests, evaluate their impact on the project, and develop plans to manage them.

Risk Manager: The risk manager identifies potential risks to the project and develops plans to mitigate or manage them. They monitor risks throughout the project lifecycle and take action to prevent or minimize their impact on the project.

PMO Coordinator: A PMO Coordinator is a role within a Project Management Office (PMO) responsible for coordinating the activities and functions of the PMO. The PMO Coordinator works closely with the Project Managers, stakeholders, and other members of the PMO to ensure that projects are delivered on time, within budget, and to the required quality standards

Overall, project management requires a diverse team with a range of technical and non-technical skills. Each role plays an important part in ensuring that the project is delivered on time, within budget, and meets stakeholder expectations. The specific job titles and responsibilities may vary depending on your organization and industry.

Data Scientist: The data scientist is responsible for analyzing and interpreting complex data sets using statistical and machine learning techniques. They work with the development team to identify business problems that can be solved with machine learning, develop and train models, and evaluate their performance.

Machine Learning Engineer: The machine learning engineer is responsible for building and deploying machine learning models. They work closely with data scientists and software engineers to develop algorithms, implement data pipelines, and integrate machine learning models into production systems.

AI Developer: The AI developer is responsible for designing and implementing AI-based applications. They work with the development team to identify business problems that can be solved with AI, develop and train models, and integrate AI-based solutions into production systems.

Data Engineer: The data engineer is responsible for building and maintaining the data infrastructure required for ML and AI development. They work with data scientists and machine learning engineers to develop data pipelines, manage data storage and processing, and ensure data quality and integrity.

Overall, ML and AI development require a diverse team with a range of technical and non-technical skills. The specific job titles and responsibilities may vary depending on your organization and industry.

Payment Processing SMEs: These experts have a deep understanding of how payment processing works, including the various payment networks, transaction flows, and settlement processes.

Compliance and Regulatory SMEs: These experts have a deep understanding of the regulatory landscape surrounding payments, including anti-money laundering (AML) laws, Know Your Customer (KYC) regulations, and other compliance requirements.

Fraud Prevention SMEs: These experts have a deep understanding of fraud prevention techniques, including fraud detection algorithms, chargeback prevention strategies, and risk mitigation tactics.

Payment Security SMEs: These experts have a deep understanding of payment security protocols, including encryption, tokenization, and other security measures used to protect sensitive payment information.

Payment Industry Standards SMEs: These experts have a deep understanding of industry standards and best practices for payments, including card network rules and regulations, Payment Card Industry Data Security Standard (PCI DSS), and other payment-related standards.

Payment Technology SMEs: These experts have a deep understanding of payment technologies, including mobile payments, digital wallets, and other emerging payment solutions.

Overall, payment SMEs play a critical role in ensuring that payment systems are secure, compliant, and efficient, and they are instrumental in developing and implementing new payment technologies and innovations.

Payment Industry Project Manager: A Payment Industry Project Manager is a professional who manages projects related to payment systems, technologies, and products within the payment industry. Their main responsibility is to ensure that payment projects are completed on time, within budget, and to the required quality standards and payment scheme regulations.

Poland is conveniently located in the European Union. We can provide you with easy access to a pool of 350K skilled IT professionals, all of whom are proficient in English. These experts in various technologies and programming languages are available at competitive labor costs. What is more, they are located in a time zone that is conducive to efficient communication and collaboration.

As a member of the EU and NATO, Poland offers a stable legal, political, and economic environment. In addition, our IT professionals have the language skills and cultural alignment needed to work effectively with clients from other western countries.

We retain employees by offering competitive compensation and work-life balance, as well as investing in their professional development. As a result, 98% of our employees stay with us for 12 months or longer. Aside from that, 98.3% of candidates we put forward pass their probationary period and stay with our clients for longer than 6 months.

Most importantly, we do our best to maintain a high employee retention rate. On top of that, we invest in mentoring and coaching programs, as well as provide our employees with opportunities for continuous learning and cross-learning. 

Various IT functions can be outsourced, including software development, application support and maintenance, IT helpdesk services, cybersecurity, cloud management, data center operations, network management, disaster recovery, website hosting, and even the entire IT infrastructure. Outsourcing these functions allows businesses to access specialized expertise and technologies without the need for in-house resources.

• Cost Savings: Outsourcing can reduce labor and operational costs.
• Access to Expertise: It provides access to specialized skills and knowledge.
• Scalability: Allows for flexibility in adjusting to business needs and demands.
• Focus on Core Business: Frees internal resources to concentrate on core functions.
• Risk Mitigation: Outsourcing can distribute responsibility and reduce organizational risk.

• Pros:
  • Cost-efficiency.
  • Access to global talent.
  • Flexibility and scalability.
• Cons:
  • Potential quality control issues.
  • Communication challenges.
  • Risks related to data security and compliance.

IT infrastructure outsourcing refers to delegating the management of essential IT components such as servers, networks, storage, and other hardware to a third-party provider. It can include remote infrastructure management, cloud infrastructure, or full-scale data center outsourcing. This allows companies to access cutting-edge technology and expertise while focusing on their core business functions.

It’s challenging to pinpoint an exact number as it varies across industries and regions. However, IT outsourcing has become a common practice, with a significant percentage of companies leveraging these services. According to various studies, more than half of businesses have outsourced some IT functions, reflecting a trend towards specialized external support to drive efficiency and innovation.