How about professional high-skilled developers with a strong knowledge of software operation management? Here they are! Introducing DevOps Developers – modern and dedicated IT-magicians who really can develop perfect software solutions and maintain, update or renovate them on the spot! Professional DevOps movement emerged when industry professionals understood that it is extremely useful not only to develop a customizable software for a company, but also make the updating process, as well as brand new releases producing, much easier. Combining the creative development process itself with the future software operation planning, DevOps technology can help to design the most optimized solution for companies whose main resource is a software they work with everyday. DevOps Developers look like modern IT-wizards with comprehensive software development and support skills. All the Senior DevOps Developers you may find here are recognized professionals with years of related and versatile experience. Besides the Experienced DevOps Developers, you may hire specialists in 86 other technologies. All of them already have surprisingly good portfolio!

Java was released by Sun Microsystems in 1995 as its main development platform. Later it was engaged by Oracle, which acquired Sun Microsystems. Syntax is largely similar to C and C ++. In the official program implementation Java-applications are automatically compiling into a byte-code that may be interpreted for any platform. One of the Java concept features is that errors (exceptions) do not lead to a complete system collapse. Also, Java uses automatic garbage collection for a memory management during the life cycle of the program. Highly qualified BackEnd Java programmer decides when to create objects and virtual machine start freeing the memory after the object is no longer needed. That’s how real optimization works! On the AOG you can even find a professional outsourcing team of Experienced Full Stack Java Developers and hire them immediately! Just check out the catalogue, choose someone and make your offer. Hiring a good Java coder or team is much easier now!

Remember all that animated menu varieties, scale and parallax effects that are frequently used on almost all web pages today? Here is an age-long secret – it’s a JavaScript magic! Cool, right? Almost all Experienced FrontEnd Developers use JavaScript magic to make blank web pages looking more interesting and brighter. JavaScript is also used for the deep server side programming (like the programming languages Java and C #), game development, stationary and mobile applications producing. Top developers worldwide work with JavaScript everyday. You can choose a Middle JavaScript Developer or even a Senior Full Stack JS Programmer and we will help you to manage your developers! We have 5 Talent integration managers that are available 24/7 for you!

Machine learning is a process which allows a machine (computer) to show the behavior not programmed preliminary. Using algorithms, multiply extracted from data, machine learning helps the computer find the needed request without explicit programming. Today machine learning is a first-class ticket to the most successful career growth in the field of data analysis. It involves information technology and statistics, and uses this data to enhance the results. This technology is a must-have skill for every analyst striving for the improvement and acceleration of the data collection and result analysis. Newsfeed of Facebook social network uses machine learning to analyze the channel of every element. For instance, while scrolling the newsfeed you stop to read or like the post of one of your friends, the system remembers it and subsequently shows you more news from this friend. Actually the software simply uses statistical and predictive analyses in order to identify algorithms in the user’s data and to apply them in newsfeed. If later on you don’t read the posts of this friend, new data will be input in the data set and newsfeed will be corrected accordingly. This called iterative aspect of the machine learning – ability to independently adapt to the new data. Exactly machine learning specialists are presented in TOP experts’ category down below: Middle and Senior level with strong programming skills in popular languages (mostly Java and Python). These talents are specialized in Digital Signal Processing, Recommender Systems, Computer Vision, as well as Sentiment Analysis, Computer Linguistics and Natural Language Processing for more niche project requests.

The “Python” name was borrowed from the TV show called Monthly Python and a language itself was developed in 1990. Python supports different programming modules and packages that promotes modularity and smart code reuse. Python interpreter and standard libraries are fully available for all the major platforms in compiled and original versions. Python authors were guided by a philosophy of simplicity and immediacy, as an unwavering guarantee of quality. Python’s philosophical paradigm implies a harmony, beauty and an avoiding of excessive complexity. That's why Python is considering as one of the most easiest programming languages and as the very prospective one. The so-called generation of Python is quite young and very progressive. This is why even highly qualified Python developers are still quite young, but ambitious professionals. Python freelancers have an experience in the complex implementation of dynamic interactive web sites and web applications. Python has no limits, so Full Stack Python developers professionalism is limitless too. AOG offers you to work directly with the Python developer and our managers will help you 24/7!

A back-end developer is in charge of server side of a project, logic and integration of front end team development. One of the main responsibilities of a back-end team is coding in a general language, mostly in Java, C# and PHP. Recently Microsoft and the .NET community puts remarkable emphasis on C#. Ruby, Python and other technologies are growing in demand too. Back-end developers are broad specialists with expertise in: versioning; data modelling / conceptualization; code optimization; caching; C; security issues; database design; any web application language with expertise on at least one framework; cloud SaaS applications. If you need a back-end developer or a team check the best IT experts from the list below! AOG works only with reliable and trusted developers!

Blockchain Blockchain, by definition, is a distributed database keeping data records about developments in a digital world. This system is distributed and available to most of the users. Data records can be input only with consent of the majority of the users. Moreover, once recorded the data can’t be changed or erased. Imagine that in a busy street you see a tree that has just grown from beneath asphalt within a second. The same second everyone witnessing this, were connected to a computerized polygraph and asked to describe what exactly they had seen. As a result they, word for word, gave a clear account of what had happened. Are there any doubts that the tree has grown through the asphalt? This is the basic principle of blockchain – a powerful invention, misunderstood by many despite its ability to drastically change our interaction with the digital world.

The artificial intelligence technologies are increasingly penetrating our everyday life. They are being used in various fields from gaming, journalism, mass media, finances on out to robotronics, medicine diagnostics and quantum sciences. Artificial intelligence research implies not only robots’ invention, but also intention to explore and figure out the mechanism of the human brain for thinking and functioning. This will definitely lead to the invention of some very intelligent machines that will think and operate like people. That’s why when we say “artificial intelligence” we mean something capable to take decisions based on the certain information. Artificial intelligence is not to be sensed physically and computer chess program is a quite fair example of it. AI development demonstrates computer evolution. Since it has been invented, we got a chance to improve the quality of life. Now, thanks to AI, we can manage energy producing plants or make any machine easy-to-use for the humans. Despite of all beneficial abilities, AI is unlikely to be able to replace the human brain one day. When working with the AI we need require analytical skills and ability to cost-effectively solve problems. It’s necessary to keep abreast and follow up technological innovations applied in the most modern computer programs in order to increase the competitiveness of the company. Besides AI specialists are required to have technical skills to design, maintain and restore the technologies and programs. And last but not least - communication skills and capability for team work. The candidates listed below meet all these requirements as they have been assessed against sustainability criteria and ready to join your project on your request. Since the invention of AI in 1950s and till now it continues to promote and improve the quality of many spheres of life. As a result, the work of the specialists, who turn cyber bits into human perception and move computer on to the intellectual level, will always be sought after and decently rewarded.

The Internet of things (IoT) is gradually moving into top gear. This concept has a potential to not only enhance our daily graft but influence our activity as well. What’s the Internet of things like and how does it affect us? Internet has become widely available, connection - cheaper, more and more devices with sensor and Wi-Fi option are being created, technological costs have been substantially reduced and smartphones acquired extraordinary popularity. All these are fertile ground for the IoT. In other words, IoT is a computer network connecting objects around us. This can be everything from IP-TV sets to blood pressure gauges connected to the Internet. These involve cars and clothes we wear, refrigerators and tooth brushes, namely, all these things can be connected to the wireless network. The IoT can apply to the jet engine or oil platform. If the object has on/off switch, then it can be a part of IoT. Gartner analytical company predicts over 26 billion connected devices by 2020. The IoT will become a gigantic network of the interconnected things, there will be relations not only between people but also between their items. ”Thing” implies a device as well as a human with the patient monitor implant, farm animal with the biochip, car with the integrated sensors to warn a driver about decrease of the tire inflation pressure. Any other natural and artificial object with IP- address and option to transfer data through the network can be related to the IoT. Regardless of what we call IoT technology, it’s already real. What will it be like in the future and what impact will it have on humanity – even Google can’t fully answer.