As a specialized organization, working with globally recognised companies as well as interesting start-ups, we help businesses identify and hire the right software professionals for their specific needs. We offer the tools & services to streamline your recruitment process and connect companies with top talent in the software and technology industry.
Some of the specialist areas we recruit for within Software include the following, but not limited to:
C#/.Net Software Engineering
C#/.Net is widely used within numerous companies and domains, favoured greatly by Software Engineers. C# is most commonly used for web development, desktop, and mobile app development.
C++ Software Engineering
C++ is one of the most widespread programming languages and is most popularly used for building large software infrastructure plus applications that run quickly, efficiently, and reliably on limited resources.
Java Software Engineering
Java is a high-level, object-oriented, and versatile programming language, and is a very popular language technology market. The language is widely used in Fintech, Payments and Banking companies, and scientific businesses.
Embedded Software Engineering
Embedded software engineering is a specialized field of software engineering focused on designing, developing, testing, and maintaining software for embedded systems. Embedded systems are computing devices with a dedicated function within a larger mechanical or electrical systems, and can be found in a wide range of applications. It is safe to say that the Embedded market is booming as low-level engineering maintains an interest with senior level engineers but also attracting a stream of young talent keen in the embedded field.
Software Testing / Quality Assurance
The role of a Software Tester is to test the software that a developer creates. They find and fix bugs within a product or program before it's launch; collaborating with developers to fix those problems when necessary.
DevOps & Cloud Engineering
DevOps is the bridge between development and operations - it's a mix of processes, methodologies, tools, and technologies used to increase efficiencies and streamline communication.
Golang Software Engineering
Golang is useful for carrying out programming for scalable servers and large software systems. The Golang programming language was built to fill in the gaps of C++ and Java that Google came across while working with its servers and distributed systems.
Python Software Engineering
Python is a very popular open-source software development language that offers enhanced process control capabilities. It has the ability to develop complex multi-protocol network applications, whilst also maintaining simple and straightforward syntax.
IT Infrastructure and Support
IT Infrastructure and Support is growing exponentially at present. We recruit for 1st, 2nd and 3rd line support engineers, IT management and directorship - all the way to CTOs and VPs of IT.
AI / Machine Learning
AI, or Artificial Intelligence, refers to the simulation of human intelligence processes by machines, particularly computer systems. AI is the future of technology, and it is in almost everything we have now, whether it is a company manipulating data to increase business profits or a robot performing life-saving surgery.
Product Management is a vital part of almost every single technology company and is arguably one of the most fascinating roles in a tech team. Product Managers are closest to the centre of all the action and have a large amount of influence over the key decisions, which shape a product, whether that be a Web / SASS based solution, or a tangible physical product.
The semiconductor market is a global industry involved in the manufacturing and distribution of semiconductors, also known as integrated circuits or microchips. Semiconductors are essential components used in a wide range of electronic devices, from smartphones and computers to automotive systems and industrial equipment.
Data Analyst, Engineering & Architecture
These are distinct roles within the field of data management and analytics, each with its own focus and responsibilities. Data management and analytics are two crucial components of handling data in organizations to extract valuable insights, make informed decisions, and ensure data quality, security, and compliance.