Company: A large Russian bank, one of the leaders in the financial services market. The Bank works with all categories of clients large, medium and small businesses, individual entrepreneurs, self-employed and individuals.

Tasks: 

• Gathering, analyzing and documenting customer's business and functional requirements for business process automation.
• Development and coordination of technical specifications and design solutions.
• Setting tasks for developers.
• Final functional testing of the developed software before acceptance testing.
• Organization and performance of acceptance tests and commissioning.
• Showings and presentations of new functionality, as well as initial training of key users.
• Analyzing and working out options for eliminating errors in the industrial environment (3rd line of support).

Requirements:

• Knowledge and understanding of automation requirements gathering and processing techniques. Understanding of the difference between good requirements and bad requirements and knowledge of methods for turning bad requirements into good requirements.
• Experience describing business processes (in any notation, but ePC or BPMN is preferred).
• Experience creating object and data flow models.
• Ability to create quality diagrams that explain requirements (logic models, interaction diagrams, sequence diagrams, etc.).
• Experience in setting tasks for developers.
• Knowledge of xml, SOAP and integration techniques.

Will be a plus:

• Good knowledge of SQL.
• Knowledge of UI design principles.
• Basic programming knowledge.
• Understanding of microservice architecture principles.
• Understanding of agile development principles.
• Experience working in Jira.

Full stack specialist with good knowledge of CMS MODX is required to support the site.

Requirements: 

• Experience with CMS MODX from 2 years.
• Experience in technical support of sites.

Tasks are varied - from fixing bugs to creating new sections. 

Workload: 20 to 40 hours/week.

Time zone: ± 3 hours from GMT+3

An international company with over 25 years of financial markets expertise is looking for a Technical Support Associate to join the team in Montenegro.

In this role, you should have excellent problem-solving skills and excellent interpersonal and communication skills. You're the total match if you are a strong team player and able to collaborate well with others to solve problems and actively incorporate input from various sources and have demonstrated customer focus.

Requirements

• Customer focusing. Politeness, loyalty in any aspect.
• Ability to build strong customer relationships and creates processes with customer viewpoint.
• Strong analytical skills.
• Able to communicate in a clear manner.
• Effectively evaluate information / data to make decisions.
• Anticipates obstacles and develops plans to resolve.
• Broad understanding of IT Infrastructure and support processes.
• Strong track record of understanding and interest in current and emerging technologies demonstrated through training, job experience and / or industry activities.
• Change oriented – actively generate process improvements.
• Supports and drive change, and confront difficult circumstances in creative ways.
• Professional IT area education or relevant experience.
• Windows family user and administrator knowledge or experience.
• Basic knowledge of networking.
• PC Desktop and Laptop hardware knowledge at professional level.
• Basic knowledge of monitoring systems and strategies.
• Basic knowledge of recovery systems and strategies.
• Basic knowledge in ITSM and ITIL. Atlassian products knowledge is a plus.
• Nice to have work experience in programming.
• Familiarity writing scripts (at least one: Python, JavaScript, Bash).
• Familiarity with Dynatrace, Zabbix, Git, Jira, would be a good benefit.
• Bachelor’s degree in Information Systems, Information Technology, Computer Science or Engineering from an accredited university or college.
• English language knowledge working level both oral and written (intermediate level minimum).

As an Android Automotive apps & frameworks architect you would be designing apps for Android Auto and Android Automotive OS and Android OS customization for OEMs.

ROLES & RESPONSIBILITIES

• You would be leading the design and architecture decisions for development of Android Automotive Apps and Android Automotive Frameworks Stack.
• Working with engineers, tech leads, testers and managers to help integrate and productize the solutions.
• Creating benchmarks and code samples to mentor engineers and leads and establish standards for them to follow.
• You bring your modern understanding of architecture to company level methods into (e.g., Enterprise Architecture Management, Test Driven Development, Design Architecture Patterns)
• Expert in handling Software Development Life Cycle preferably in Automotive domain.
• You are technically well-versed, passionate about technology trends and have designed and developed software in agile teams for many years.
• Able to analyze, test and evaluate new technologies in use for project.
• Supporting sales and program management teams during customer engagements as a technical expert.

REQUIRED QUALIFICATIONS

• Have 3+ years of experience as a Software Architect and many years of professional experience as software engineer.
• Extensive programming skills in C++, Java, JNI, Kotlin, Gradle using Android libraries.
• Good knowledge of Android Automotive OS architecture and CarUI library for app development.
• Excellent knowledge of architectural principles and design patterns concepts and their implementation in mobile technologies.
• Very good knowledge of DevOps tooling (versioning, CI/CD, automation, testing pyramids).
• Very good communication skills in English.
• German language skills would be an advantage.

TOOLS

• Android Studio, Intellij IDEA, Gradle, Make, CMake, ADB Debugger, Sonarqube, Robolectric, Dagger, Android Espresso, Git, Jenkins, Gerrit, JIRA

Project location: Greater Munich Area                   

Duration: Long-term

We are looking for an experienced Office365 Support Engineer to join a support team, dedicated to a life science project. Join a team working with a multinational company on a flexible work schedule.

An Office365 Support Engineer is responsible for assisting internal company employees and providing support via Microsoft Teams and ServiceNow, your core responsibilities will include:

• User Support: Offer prompt and effective support to internal employees encountering Office365-related issues via various channels, including Microsoft Teams and ServiceNow.
• Issue Resolution: Diagnose and troubleshoot technical issues within the Office365 environment, addressing problems related to SharePoint, Office365 Administration, Teams, and Azure AD.
• Documentation: Maintain comprehensive documentation of Office365 configurations, procedures, and issue resolutions for reference and knowledge sharing.
• Daily Team Meetings: Actively participate in daily team meetings to stay informed on internal company IT policy changes, share updates on support activities, and foster effective communication within the team.
• Educate Users: Offer user training and guidance regarding Office365 applications.

What we expect:

• 2-4 years of hands-on experience with Office365 administration and support.
• Japanese (upper-intermediate or higher).
• Proficient with SharePoint, OneDrive, Exchange, Teams, and Azure Active Directory.
• Experienced with Sharepoint sites migration.
• Experienced with Powershell scripting.
• Strong investigation and diagnostic abilities.
• Excellent communication and user training skills.
• Excellent written and verbal skills in English.

Nice to have:

• Familiarity with Life Sciences.
• Knowledge and experience of ServiceNow would be beneficial.
• Have hands-on experience with PowerApps to create custom business apps within Office365.
• Experience with ServiceNow for seamless integration with Office365.
• Good understanding of ITIL processes.

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.

Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting.

processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.

Project in healthcare industry.

Responsibilities

• Build the automation processes of our Big Data platforms.
• Install, deploy, configure, maintain and monitor infrastructure, systems, and management tools of our Big Data platforms.
• Ensure the highest levels of systems and infrastructure availability for our Big Data platforms.
• Ensure the proper security standards in terms of infrastructure, systems, and processes.
• Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement fixes Provide 2nd level support.
• Liaise with vendors (Azure and Databricks) and other IT personnel for problem resolution.

General Requirements

• University degree or similar education in Software Engineering or Computer Science.
• At least 3 years experience in DevOps and/or in using automation to build infrastructure.
• Fluent English and good communication skills both in verbal and written form.
• Ability to work in a globally distributed environment.

Technical Skills

• Understanding of infrastructure automation concepts and good hands-on knowledge of Ansible.
• Understanding of containerization concepts and strong knowledge of Docker.
• Good understanding of Versioning Control systems and strong knowledge of Git.
• Hands-on experience in Linux administration and in Bash scripting.
• Experience with Jenkins.
• Proficiency in writing scripts in Python.
• Understanding of cloud paradigms (IaaS/SaaS/PaaS).
• Understanding of networking concepts and cybersecurity best practices.
• Understanding of agile software development process.
• Accustomed to leverage tools like Confluence and Jira for knowledge and collaboration management.
• Hands-on experience with MS Azure.
• Experience with container orchestration and knowledge of Azure Kubernetes.
• Familiarity with Big Data technologies: Spark/Hadoop, Azure Databricks, Apache Airflow.
• Understanding of SQL and NoSQL database types, paradigms, and design patterns.