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17/10/2024

Do you know that waste is not waste until you waste it?

If you're passionate about transforming food waste into valuable, marketable products, we invite you to join the Food Waste Challenge!

For five weeks (total of 20 effective hours), with EIT Food and BAU Accelerator support, you'll participate in a boot camp to learn, innovate, and develop food waste into innovative new products. Work on real challenges presented by industry representatives.

Ready to make a difference? Let’s create a future where nothing goes to waste!

Deadline for application 22nd of October -> https://shorturl.at/wtLbE

eit_food_waste_challenge_lab_2024.png

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30/11/2021

Synami is a company that focuses on developing innovative software products with strong potential to lead the digital transformation and revolutionize the workflows of the world' leading global companies. Our portfolio of products is being used by over 4,500 companies, ranging from micro-companies all the way to 70% of the large Fortune 500 enterprises, and is recognized in over 172 countries across the globe.

Our team of professionals lives and breathes innovation, which when blended with a strong passion for design and development produces high-quality products.

We have a new open position for a Python developer and we are looking for a talented and ambitious software engineer who would like to work and further grow in a comfortable, respectful, supportive and collaborative environment.

 

Requirements:

· Experienced in developing Python applications, with knowledge of at least one Python web framework (such as Django or Flask)

· Familiarity with some ORM (Object Relational Mapper) libraries

· Able to integrate multiple data sources and databases into one system

· Understanding of the concurrency models of Python, and multi-process architecture

· Good understanding of server-side templating languages (Django

· Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

· Understanding of accessibility and security compliance

· Knowledge of user authentication and authorization between multiple systems, servers, and environments

· Understanding of fundamental design principles behind a scalable application

· Able to create relational database schemas that represent and support business processes

· Strong unit test and debugging skills

· Proficient understanding of code versioning tools (such as Git) To apply for this open position send your CV at careers@synami.com.

If you have any additional question about this open position feel free to write to us at careers@synami.com.

1
15/04/2022

 

 

 

 

Transform your vision into working IT solutions faster, without compromising quality or overburdening your team. For over 15 years, we’ve been helping companies like yours stay ahead of the competition and complete projects on budget and on time - every time. We enable Software Companies and Managed Service Providers with reliable, responsive and efficient services, while never competing in your product or services market. ISO 20000 and 27001 Certified in Managed ICT services.

Responsibilities

  • Analyzing current approaches and developing a strategy for automating the testing process.
  • Coding automated tests for the web / mobile applications
  • Contributing to CI/CD pipeline design, build and maintenance to support quality engineering practices.
  • Creating and reviewing solution documentation.
  • Collaborate with group of Engineers
  • Write clear and concise defect reports
  • Provide consistent and clear status in verbal and written communications

 

Qualifications And Experience

  • Strong interest in software testing (no previous experience required)
  • Willing to test Web, Desktop or Mobile applications
  • You have solid skills in programming & scripting
  • Demonstrated ability to manage expectations and timelines according to project needs
  • You are familiar with test automation (mobile or web)
  • You are familiar with the concept of CI/CD
  • Strong analytical and organizational skills
  • Highly driven, positive attitude, self-motivated team player
  • Very good written and spoken English skills

 

We offer:

  • Competitive salary package
  • Ongoing learning opportunities – complex projects, training, coaching, conferences, workshops, certifications, online learning platforms, subscriptions, etc.
  • Work-Life balance with flexible working hours & home-office possibilities
  • Sport activities & Team buildings
  • Private health insurance

 

We are looking forward to receiving your CVs at jobs@vestel.net.mk

1
31/01/2025

About Us

TeamLift is a fast-paced, innovative start-up shaping the future of the AI-driven workforce. We pride ourselves on our dynamic, collaborative environment where creativity and problem-solving drive our success. As part of our close-knit team, you’ll have the opportunity to learn rapidly and grow alongside passionate, like-minded individuals. If you’re excited about applied AI and thrive in a start-up culture, we’d love to hear from you!

Role Overview

We’re looking for a motivated AI Engineer Intern to help solve real-world problems with AI and machine learning. This is your chance to immerse yourself in the world of AI and machine learning, solving real-world problems while contributing to meaningful projects. As part of our start-up, you’ll work in a dynamic environment where your ideas and contributions matter from day one.

Mindset

Strong problem-solving skills, curiosity, eagerness to explore new ideas, and a passion for innovation in AI.

Responsibilities

  • Write clean, efficient Python code for AI and data applications.
  • Scrape data from websites, APIs, and other sources.
  • Process and clean unstructured data for AI models.
  • Collaborate on new features with cross-functional teams.

What We’re Looking For

  • Bachelor’s degree (or in the final year) in Computer Science or related field.
  • Strong understanding of Python programming and its core libraries.
  • Basic knowledge of NLP and version control (Git).
  • (Preferred but not required) Familiarity with graph and vector databases.

To apply or request more information, send your CV to support@teamlift.co. Applications are open till February 7, 2025.

 

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Intelligent systems (4+1)

1. General Information

 

Postgraduate studies in intelligent systems aim to provide top scientific and research staff to meet the growing demand for highly qualified engineers capable of overcoming the most challenging development, research and process problems. Students in this study program gain knowledge that provides them with great professional flexibility and a wide selection of jobs wherever there is a need to apply problem-solving skills, as well as critical thinking skills, which they will use to solve complex problems. which are in the domain of intelligent systems. Students enrolling and graduating in this field are highly sought after in companies and research centers. In addition to being trained to participate in the development, implementation and maintenance of a variety of applications in the field of intelligent systems, including the business domain, they will have the necessary basis to pursue doctoral studies, as well as to participate in interdisciplinary science projects. and technology.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Course Title: Second Cycle Academic Studies in Intelligent Systems
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Computer Science and Informatics / Informatics
  • Areas: Artificial Intelligence , Intelligent Systems, Databases, Numerical Analysis , < / Algorithms , Information Processing, Data Processing, Robotics, Other .
  • The value of postgraduate studies is 60 ECTS or 120 ECTS credits.
  • Duration of studies: 2 or 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Admission Requirements : According to the competition announced by the university, completed undergraduate studies in information science, computer or related fields with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester : 2 electives, one of which can be from the University list (only if in the first semester the subjects are selected at the Faculty level) and a final project - a master's thesis of 18 ECTS. / li>
  • 1 ECTS credit corresponds to 30 hours of total employment.
  • The number of contact hours is 4.
  • The academic title or degree obtained after graduation is

 

-Master of Information Science and Computer Engineering in Intelligent Systems

 

 

2. Studies

Table 3: List of Postgraduate Courses

РБ Subject Semester M / E ECTS
1 Modeling and fusing unstructured data IX M 6
2 Advanced Artificial Intelligence and Machine Learning Topics IX M 6
3 Modern intelligent systems IX M 6
4 Selected from Table 4 IX E 6
5 Selected from Table 4 IX E 6
6 Selected from Table 4 X E 6
7 Selected from Table 4 X E 6
8 Master Thesis X M 18

 

Table 4 shows the electives from the Intelligent Systems study program. In addition to these courses, the student can choose from all elective courses, defined for all study programs, from the second cycle that are serviced by the faculty. It is allowed to choose one elective course from the university list of free elective courses.

 

Table 4: Electives

РБ Subject Semester ECTS Fund hours
1 Analysis and design of information systems IX 6 4 + 0 + 0 + 0
2 Mobile web services IX 6 4 + 0 + 0 + 0
3 Algorithms and programming in robotics IX 6 4 + 0 + 0 + 0
4 Collective Intelligence IX 6 4 + 0 + 0 + 0
5 Intelligent user interfaces IX 6 4 + 0 + 0 + 0
6 Introduction to Financial Engineering IX 6 4 + 0 + 0 + 0
7 Ambient intelligence IX 6 4 + 0 + 0 + 0
8 Data-based business decision-making systems IX 6 4 + 0 + 0 + 0
9 Robot systems IX 6 4 + 0 + 0 + 0
10 Content based indexing and search IX 6 4 + 0 + 0 + 0
11 Evolutionary calculation X 6 4 + 0 + 0 + 0
12 Agent-based modeling X 6 4 + 0 + 0 + 0
13 Knowledge-based information systems X 6 4 + 0 + 0 + 0
14 Computational game theory X 6 4 + 0 + 0 + 0
15 Representation and approximate knowledge discovery X 6 4 + 0 + 0 + 0
16 Human-robot interaction X 6 4 + 0 + 0 + 0
17 Computationalparadigms in the Internet of Things X 6 4 + 0 + 0 + 0
18 Mathematical methods in robotics X 6 4 + 0 + 0 + 0
19 Collaborative computer systems X 6 4 + 0 + 0 + 0
20 Sensor-robotic systems X 6 4 + 0 + 0 + 0
21 Intelligent mobile applications X 6 4 + 0 + 0 + 0
22 Multimodal interaction X 6 4 + 0 + 0 + 0
23 Discovering knowledge in big graph data X 6 4 + 0 + 0 + 0

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

Computer Science (4+1)

1. General Information

 

Postgraduate studies in computer science strive for top European education and training of staff, who after graduation will be able to meet the needs of both commercial companies in the information industry, as well as top scientific research institutions in the country and abroad. .

 

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: Academic second cycle studies in Computer Science
  • Scientific-research area: natural-mathematical
  • Field: Informatics
  • Area: Information Systems and Programming, Computing Integrated Methods and Applications, Algorithms, Optimization, Simulation, Software Development and Databases.
  • The value of postgraduate studies is 60 ECTS   or   120 ECTS   credits.
  • Study time: 2   or   4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • The first semester consists of subjects, while the second consists of subjects and the final project, ie. master thesis.
  • Admission Requirements : Completed undergraduate studies in computer science or computer science with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory course and 1 elective, which can be from the university list (only if in the first semester the courses are selected at the Faculty level) and a final project of 18 ECTS.
  • 1 ECTS credit corresponds to 30 hours of total work engagement.
  • The number of contact hours is 4.
  • The academic title or degree obtained after graduation is

- Master in Information Science and Computer Engineering in the field of   Computer Science

 

2. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester M / E ECTS
1 KN-Z-01 Advanced algorithms  IX M 6
2 KN-Z-02 Optimization methods  IX M 6
3 KN-Z-03 Formal methods IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 KN-Z-04 Research methods and writing techniques X M 6
7 Elective X E 6
8 Master Thesis X M 18

 

At least one elective should be chosen from the offered electives in Table 4. At most one of the electives can be chosen from the University list of master's degree programs. A maximum of two elective courses can be selected from the courses offered at the other postgraduate studies at the Faculty of Information Sciences and Computer Engineering.

 

Table 4: Electives

РБ New Code / Subject Semester ECTS
1 KN-I-01   Modern simulations and modeling  IX 6
2 KN-I-02   Big Data Concepts and Applications IX 6
3 KN-I-03   Database Performance, Reliability and Security IX 6
4 KN-I-04   Complexity Theory and Coding  IX 6
5 KN-I-05   Text-data processing IX 6
6 KN-I-06   Modern trends in parallel processing IX 6
7 КН-E-07      
8 КН-E-08   Big Data Modeling and Management X 6
9 KN-I-09   Bayesian Data Analysis  X 6
10 KN-I-10   Business process mining  X 6
11 IS-Z-02    Advanced artificial intelligence and machine learning  IX 6
12 СE-E-01   Time series analysis and forecasting  IX 6
13 BK-I-07   Mathematical Logic for Computer Science IX 6
14 IT-I-05   Data visualization IX 6
15 IS-I-16   Computational Game Theory  X 6
16 BC-I-08   Advanced Algebraic Structures X 6

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

Computer Science (3+1+1)

1. General Information

 

Postgraduate studies in computer science strive for top European education and training of staff, who after graduation will be able to meet the needs of both commercial companies in the information industry, as well as top scientific research institutions in the country and abroad.

 

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: Academic second cycle studies in Computer Science
  • Scientific-research area: natural-mathematical
  • Field: Informatics
  • Area: Information Systems and Programming, Computing Integrated Methods and Applications, Algorithms, Optimization, Simulation, Software Development and Databases.
  • The value of postgraduate studies is 60 ECTS   or   120 ECTS   credits.
  • Study time: 2   or   4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • The first semester consists of subjects, while the second consists of subjects and the final project, ie. master thesis.
  • Admission Requirements : Completed undergraduate studies in computer science or computer science with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory course and 1 elective, which can be from the university list (only if in the first semester the courses are selected at the Faculty level) and a final project of 18 ECTS.
  • 1 ECTS credit corresponds to 30 hours of total work engagement.
  • The number of contact hours is 4.
  • The academic title or degree obtained after graduation is

- Master in Information Science and Computer Engineering in the field of   Computer Science

 

2. Introductory layer

 

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 Mandatory subject 1 of Table 2 VII 6
2 Mandatory subject 2 of Table 2 VII 6
3 Mandatory subject 3 of Table 2 VIII 6
4 Mandatory subject 4 of Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list freeitems VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program (Table 2), or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with postgraduate studies in intelligent systems. When choosing courses, the student should coordinate with the head of the study program. A free choice of subject is also allowed, which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2:   List of items

РБ Code / Subject Semester ECTS Prerequisite2
1 CSEW317  Formal languages and automata VII 6 no
2 CSEW308   Linear Algebra VII 6 no
3 CSEW303   Probability and Statistics  VII 6 Calculus 1, Discrete Mathematics 2
4 CSEW517   Machine learning  VII 6 no
5 CSEW507   Visualization  VII 6 Object-Oriented Programming
6 CSES419   Algorithms and Complexity VIII 6 One of the subjects: Algorithms and Data Structures, Algorithms and Data Structures, Data Structures
7 CSES622   Data Mining VIII 6  
8 CSES619   Advanced Databases  VIII 6 Databases
9 CSES621   Parallel Programming VIII 6 Advanced Software Development
10 CSES629   Data Warehouses and OLAP VIII 6 Algorithms and data structures, Databases

 

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).  

 

3. Studies

Tableand 3: List of Postgraduate Courses

РБ CODE / Subject Semester З / И ECTS
1 KN-Z-01 Advanced algorithms  IX З 6
2 KN-Z-02 Optimization methods  IX З 6
3 KN-Z-03 Formal methods  IX З 6
4 Elective IX И 6
5 Elective IX И 6
6 KN-Z-04 Research methods and writing techniques X З 6
7 Elective X И 6
8 Master Thesis X З 18

 

At least one elective should be chosen from the offered electives in Table 4. At most one of the electives can be chosen from the University list of master's degree programs. A maximum of two electives can be selected from the courses offered at the other postgraduate studies at the Faculty of Information Sciences and Computer Engineering.

 

Table 4: Electives

РБ New Code / Subject Semester ECTS
1 КН-И-01 Modern simulations and modeling  IX 6
2 KN-I-02  Big Data Concepts and Applications IX 6
3 KN-I-03  Database Performance, Reliability and Security IX 6
4 KN-I-04  Complexity Theory and Coding  IX 6
5 KN-I-05  Text-data processing IX 6
6 KN-I-06  Modern trends in parallel processing IX 6
7 КН-И-07      
8 КН-И-08  Big Data Modeling and Management X 6
9 KN-I-09  Bayesian Data Analysis  X 6
10 KN-I-10  Business process mining  X 6
11 IS-Z-02  Advanced artificial intelligence and machine learning  IX 6
12 СИ-И-01  Time series analysis and forecasting  IX 6
13 BK-I-07  Mathematical Logic for Computer Science IX 6
14 IT-I-05   Data visualization IX 6
15 IS-I-16  Computational Game Theory  X 6
16 БК-И-08 Advanced Algebraic Structures X 6

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

31/01/2025

About Us

TeamLift is a fast-paced, innovative start-up shaping the future of AI-driven workforce. We pride ourselves on our dynamic, collaborative environment where creativity and problem-solving drive our success. As part of our close-knit team, you’ll have the opportunity to learn rapidly and grow alongside passionate, like-minded individuals. If you’re excited about applied AI and thrive in a start-up culture, we’d love to hear from you!

Role Overview

We’re looking for a motivated Backend Developer Internship who’s excited to grow and learn with us in a fast-paced startup environment! You’ll have the chance to dive into backend development and help out with clients, gaining hands-on experience while working closely with the team. If you're eager to learn new skills, help solve problems, and grow with us, we’d love to hear from you!

Responsibilities

  • Help with backend systems and databases, learning how to design and optimize them as you go, with guidance from our senior team.
  • Chat with customers to understand their needs and work with the team to make sure the product is a great fit for them.
  • Get involved in brainstorming sessions with the team to come up with new ideas based on customer feedback.
  • Work with different teams (engineering, product, and customer support) to help make sure we’re all on the same page when it comes to customer needs.

What We’re Looking For

  • A passion to learn and grow in backend development (if you’re familiar with Typescript, NestJS, or PostgreSQL, that’s awesome, but if not, we’re happy to teach you!)
  • Great communication skills and a friendly attitude toward working with both technical and non-technical team members.
  • A proactive, problem-solving mindset — we love team members who are excited to help find creative solutions!
  • A genuine interest in customer success and a desire to help make products better for our users.

Bonus Points (but not required)

  • Experience with backend tech or customer interaction from school projects or prior roles.
  • Customer service experience is a plus, but we’ll train the right candidate.

To apply or request more information, send your CV to support@teamlift.co. Applications are open till February 7, 2025

 

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05/06/2022

Факултетот за информатички науки и инженерство во соработка со COST акцијата Good Brother (CA 19121) https://goodbrother.eu/ (Network on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living) организира мултидисциплинарна летна тренинг школа.

Целта на оваа тренинг школа е да се популаризираат етичките и правните предизвици, како и предизвиците поврзани со приватноста на податоците кои се наметнуваат при процесирање на аудио и видео податоци. На школата ќе учествуваат студенти и предавачи од 16 држави.

 

Тренери и теми покриени на школата:

  • Francisco Flórez-Revuelta, Ph.D., University of Alicante, Spain, “Computer vision for AAL” and “Visual privacy preservation
  • Cristina Miguel, Ph.D., University of Gothenburg, Sweden, “Privacy and surveillance in the context of AAL applications: Social and ethical implications”
  • Lukács Adrienn, Ph.D, University of Szeged, Hungary, “From Big Brother to GoodBrother: Introduction to the legal regulation of privacy”
  • Ivan Pires, Ph.D., University of Beira Interior, Portugal, “Examples of audio- or video-based AAL applications”
  • María José Santofimia. Ph.D., Universidad de Castilla La Mancha, Spain, “Remote monitoring and/or fall detection and prevention”
  • Petre Lameski, Ph.D., Faculty of Computer Science and Engineering, Macedonia, “Introduction to Explainable AI”
  • Nina Hosseini Kivanani, Université du Luxembourg, Luxembourg, “How to apply augmentation techniques on small datasets: Neurodegenerative diseases datasets”
  • Eftim Zdravevski, Ph.D., Faculty of Computer Science and Engineering, Macedonia
  • Zoltán Alexin, PhD, University of Szeged, Hungary, “Pseudonymization and anonymization of datasets”
  • Aleksandar Jevremovic, Ph.D., Singidunum University, Serbia, “Protecting data in Smart/IoT environments”

 

Во продолжение е  наведена и програмата на школата:

Monday (June 6th)

 

  • 09:00 - 09:30 - Wellcome and GoodBrother introduction
  • 09:30 - 11:00 - Francisco Florez, Computer vision for AAL
  • 11:00 - 11:15 - Coffee break
  • 11:15 - 13:00 - Francisco Florez, Visual privacy preservation
  • 13:00 - 14:30 - Lunch break
  • 14:30 - 16:00 - Cristina Miguel, Privacy and surveillance in the context of AAL applications: Social and ethical implications
  • 16:00 - 17:00 - Practical activities

 

Tuesday (June 7th)

 

  • 09:00 - 10:50 - Lukács Adrienn, From Big Brother to GoodBrother: Introduction to the legal regulation of privacy
  • 10:50 - 11:10 - Coffee break
  • 11:10 - 13:00 - Ivan Pires, Examples of audio- or video-based AAL applications
  • 13:00 - 14:30 - Lunch break
  • 14:30 - 17:00 - Practical activities

 

Wednesday (June 8th)

 

  • 09:00 - 10:50 - Maria Jose Santofimia, Remote monitoring and/or fall detection and prevention
  • 10:50 - 11:10 - Coffee break
  • 11:10 - 13:00 - Petre Lameski, Introduction to Explainable AI
  • 13:00 - 14:30 - Lunch break
  • 14:30 - 17:00 - Practical activities

 

Thursday (June 9th)

 

  • 09:00 - 10:50 - Nina Hosseini Kivanani, How to apply augmentation techniques on small datasets: Neurodegenerative diseases datasets
  • 10:50 - 11:10 - Coffee break
  • 11:10 - 13:00 - Eftim Zdravevski, Introduction to big data processing
  • 13:00 - 14:30 - Lunch break
  • 14:30 - 17:00 - Practical activities

 

Friday (June 10th)

 

  • 09:00 - 10:50 - Alexin Zoltán, Pseudonymization and anonymization of datasets
  • 10:50 - 11:10 - Coffee break
  • 11:10 - 13:00 - Aleksandar Jevremovic, Protecting data in Smart/IoT environments
  • 13:00 - 14:30 - Lunch break
  • 14:30 - 16:00 - Practical activities
  • 16:00 - 17:00 - End of the training school

 

0
07/06/2021

Stonebranch builds dynamic IT automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation, helping organizations achieve the highest possible Return on Automation. No matter the degree of automation, Stonebranch software is simple, modern and secure. Using its universal automation platform, enterprises can seamlessly orchestrate workloads and data across technology ecosystems and silos. Headquartered in Alpharetta, Georgia with points of contact and support throughout the Americas, Europe, and Asia, Stonebranch serves some of the world's largest financial, manufacturing, healthcare, travel, transportation, energy, and technology institutions.

The candidate will join our Technology Enabled Services business unit (TES) in Skopje, a DevOps and Digital-Services lab, focusing in providing innovative solutions to our customers leveraging on open-source frameworks and solutions. The position is related to delivering services to our customers; either remotely or at customers’ premises.

Your Part in this Growth Story:

Stonebranch TES BU is searching for a Solutions Engineer who is interested in building and maintaining good relationships with customers while delivering services of Stonebranch’s product portfolio.

The position is best suited for a professional interested in automation and systems integration field, who understands the solutions from end-to-end as well as low-level perspective and being an organic team member of an agile team.

What you will be doing:

•    As a Solutions Engineer you will deliver services related to Stonebranch’s product portfolio to our customer in post-sales projects, remotely or at customer premises
•    You will deliver services related to product installation, configuration and data transition
•    You will provide consultancy and training related to Stonebranch’s products or specific product implementations and deployments
•    You will support Pre-sales activities in Proof of Concepts or other phases by bringing in product and project/service expertise
•    You will build and maintain good relationships with Customers

What You Will Bring to the Team:

•    0 - 3 years of related experience
•    Very good understanding of IT infrastructure and operating systems like UNIX/Linux, Windows Server
•    Technical understanding/background in Cloud applications, infrastructure and virtualization; ideally experience with platforms like AWS, Microsoft Azure, Google Cloud
•    Programming & scripting languages like shell scripting, SQL
•    Customer oriented service attitude
•    Excellent communication and analytical skills
•    Strong command of English, both written and verbal required to be considered
•    Willingness to travel
•    Relevant Bachelor’s or comparable degree

Nice to have:
•    Knowledge about Web application containers like Tomcat
•    OpenShift in cloud platforms
•    Knowledge about workload automation systems
•    Programming languages like Python
•    Experience with mainframe systems (zOS)

Why You’ll Love Stonebranch:

•    Competitive compensation
•    Great company culture
•    Regular social events
•    Work in a young, motivated, experienced, and international team of top performers
•    Continuous professional development and development

If you are interested in this position, please send your CV to hr@stonebranch.com.

We are an Equal Opportunity Employer and do not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class.

 

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