GlobalLogic

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

OU’s: Currently, Nuero, Cardio, Diabetes is the OU that HDP data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

As a System Engineer within the Company Research & Systems Engineering team, you will have the opportunity to work on cloud-based solutions with a strong focus on AWS, Data Engineering, and scalable data platforms. You will collaborate with cross-functional engineering teams to design, develop, integrate, and maintain reliable cloud-native systems and data workflows.

In this role, you will contribute to building and evolving AWS-based architectures, data processing pipelines, and integrations across distributed systems. You will develop a strong understanding of end-to-end system architecture, data flows, infrastructure, and operational requirements, helping to drive technical implementation and delivery throughout the software development lifecycle.

You will work closely with software engineers, data engineers, architects, and other stakeholders to ensure that solutions are scalable, secure, maintainable, and aligned with both technical and business requirements.

• 3+ years of experience in System Engineering, Software Engineering, Cloud Engineering, Data Engineering, or a related technical role.
• Strong software development experience with Python.
• Hands-on experience designing, developing, or supporting solutions on AWS.
• Experience with data engineering concepts and technologies, including data ingestion, ETL/ELT, transformation, validation, and data processing pipelines.
• Strong SQL skills and experience working with relational and/or NoSQL databases.
• Experience with REST APIs, service integrations, and distributed application architectures.
• Understanding of cloud-native architecture principles and modern software development practices.
• Experience troubleshooting applications and distributed cloud systems and performing root cause analysis.
• Experience with Git and modern CI/CD development workflows.
• Strong analytical and problem-solving skills with the ability to understand complex systems and data flows.
• Ability to work effectively with software, data, cloud, and machine learning engineering teams.
• BA/BS in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience with AWS data services such as S3, Glue, Athena, EMR, or similar technologies.
• Experience with Amazon SageMaker and machine learning development or deployment workflows.
• Experience with Infrastructure as Code using AWS CloudFormation, Terraform, or AWS CDK.
• Experience with AWS monitoring and observability services such as CloudWatch and CloudTrail.
• Experience working in Agile/Scrum development environments.

Job responsibilities

• Work with engineering and cross-functional stakeholders to gather, analyze, clarify, and document business, functional, and non-functional requirements, translating them into clear system and technical requirements.
• Define system requirements, interfaces, data flows, integration requirements, acceptance criteria, and technical constraints for cloud-based software components, data platforms, and integrations.
• Maintain requirements throughout the development lifecycle, ensuring traceability between business needs, system requirements, technical design, implementation, and validation.
• Identify gaps, dependencies, assumptions, and potential technical risks in requirements and work with stakeholders to resolve them before and during implementation.
• Design and contribute to scalable AWS-based architectures supporting data ingestion, processing, transformation, storage, and distribution.
• Analyze data and system behavior to support architecture, implementation, performance, and product decisions.
• Collaborate with Data Engineering, Software Engineering, Cloud Engineering, DevOps, and Architecture teams to design and integrate end-to-end cloud solutions.
• Support operational monitoring, logging, alerting, and troubleshooting of cloud applications and data processing workflows.
• Contribute to system architecture and technical design discussions, including scalability, reliability, security, performance, and cost considerations.
• Participate in technical and requirements reviews to ensure solutions meet defined requirements, engineering standards, cloud best practices, and established software development processes.
• Support continuous improvement of cloud infrastructure, data pipelines, deployment processes, requirements management, and engineering practices throughout the software development lifecycle.

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

OU’s: Currently, Nuero, Cardio, Diabetes is the OU that HDP data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

As a System Engineer within the Company Research & Systems Engineering team, you will have the opportunity to work on cloud-based solutions with a strong focus on AWS, Data Engineering, and scalable data platforms. You will collaborate with cross-functional engineering teams to design, develop, integrate, and maintain reliable cloud-native systems and data workflows.

In this role, you will contribute to building and evolving AWS-based architectures, data processing pipelines, and integrations across distributed systems. You will develop a strong understanding of end-to-end system architecture, data flows, infrastructure, and operational requirements, helping to drive technical implementation and delivery throughout the software development lifecycle.

You will work closely with software engineers, data engineers, architects, and other stakeholders to ensure that solutions are scalable, secure, maintainable, and aligned with both technical and business requirements.

• 3+ years of experience in System Engineering, Software Engineering, Cloud Engineering, Data Engineering, or a related technical role.
• Strong software development experience with Python.
• Hands-on experience designing, developing, or supporting solutions on AWS.
• Experience with data engineering concepts and technologies, including data ingestion, ETL/ELT, transformation, validation, and data processing pipelines.
• Strong SQL skills and experience working with relational and/or NoSQL databases.
• Experience with REST APIs, service integrations, and distributed application architectures.
• Understanding of cloud-native architecture principles and modern software development practices.
• Experience troubleshooting applications and distributed cloud systems and performing root cause analysis.
• Experience with Git and modern CI/CD development workflows.
• Strong analytical and problem-solving skills with the ability to understand complex systems and data flows.
• Ability to work effectively with software, data, cloud, and machine learning engineering teams.
• BA/BS in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience with AWS data services such as S3, Glue, Athena, EMR, or similar technologies.
• Experience with Amazon SageMaker and machine learning development or deployment workflows.
• Experience with Infrastructure as Code using AWS CloudFormation, Terraform, or AWS CDK.
• Experience with AWS monitoring and observability services such as CloudWatch and CloudTrail.
• Experience working in Agile/Scrum development environments.

Job responsibilities

• Work with engineering and cross-functional stakeholders to gather, analyze, clarify, and document business, functional, and non-functional requirements, translating them into clear system and technical requirements.
• Define system requirements, interfaces, data flows, integration requirements, acceptance criteria, and technical constraints for cloud-based software components, data platforms, and integrations.
• Maintain requirements throughout the development lifecycle, ensuring traceability between business needs, system requirements, technical design, implementation, and validation.
• Identify gaps, dependencies, assumptions, and potential technical risks in requirements and work with stakeholders to resolve them before and during implementation.
• Design and contribute to scalable AWS-based architectures supporting data ingestion, processing, transformation, storage, and distribution.
• Analyze data and system behavior to support architecture, implementation, performance, and product decisions.
• Collaborate with Data Engineering, Software Engineering, Cloud Engineering, DevOps, and Architecture teams to design and integrate end-to-end cloud solutions.
• Support operational monitoring, logging, alerting, and troubleshooting of cloud applications and data processing workflows.
• Contribute to system architecture and technical design discussions, including scalability, reliability, security, performance, and cost considerations.
• Participate in technical and requirements reviews to ensure solutions meet defined requirements, engineering standards, cloud best practices, and established software development processes.
• Support continuous improvement of cloud infrastructure, data pipelines, deployment processes, requirements management, and engineering practices throughout the software development lifecycle.

Job Description

• 5+ years of development experience
• .Net Development with WinForm
• Solid understanding of OOP, design patterns, software development principles and best practices
• Experience with Azure Cloud Solutions
• Unit testing
• Good communication and task management skills
• English level - Advanced

Job Responsibilities

• Design, develop, and maintain scalable, API-driven backend services
• Troubleshoot complex technical issues and optimize performance of applications.
• Unit testing
• Collaborate with engineering, product, and design teams to ensure seamless integration across the broader data platform.

Department/Project Description

Client is a leading global Contract Research Organization (CRO) that provides Phase I-IV clinical trial management, market access, and technology solutions with over 30 years of experience.

Job Description

Cloud Computing: Proficiency in cloud platforms: Azure; tools: Foundry, OpenAI, PaaS Services, IaaS
ServiceNow Tools: Experience with ServiceNow tools for managing service requests and Incidents

Job Responsibilities

 Model Monitoring & Management: Continuously monitoring model performance, identifying drift, and triggering retraining or recalibration processes.
 Infrastructure Management: Maintaining and scaling the infrastructure required to support AI workloadsб including cloud resources, servers and storage.
 Cost Optimization: Monitoring resource utilization, identifying inefficiencies and optimizing costs associated with AI infrastructure and operations.
 Security & Compliance: Implementing and enforcing data security policies and ensuring compliance with relevant regulations.
 Bias Detection & Mitigation: Analyzing models for bias and implementing techniques to mitigate it. Working with data science teams to ensure fairness and equity.
 Access Control & Permissions: Managing access to AI models, data, and infrastructure.
 Documentation & Reporting: Maintaining comprehensive documentation of AI models, and infrastructure. Generating reports on model performance, data quality and security.
 Collaboration with Data Science: Working closely with data scientists to deploy, monitor and improve models. Providing feedback on model performance and data quality.
 Vendor Management: Evaluating and managing relationships with AI technology vendors.

Your responsibilities will include maintaining the health of our AI systems, resolving technical issues, and ensuring the systems are secure and up-to-date. The ideal candidate is a tech-savvy professional with an in-depth understanding of AI technologies and system administration. The ability to learn quickly and adapt to new technologies is essential.
Ultimately, the AI System Administrator should enhance our AI infrastructure and contribute to building high-quality AI applications that align with our business needs.

Department/Project Description

Artificial intelligence (AI) is rapidly transforming the business landscape. From automating mundane tasks to powering data-driven insights, AI promises increased efficiency, improved decision-making and a competitive edge. However, simply implementing AI tools isn’t enough. To realize the full potential of these technologies, organizations need a dedicated role focused on managing, optimizing and governing their AI deployments: the AI Administrator. This emerging role is quickly becoming essential for businesses of all sizes.
We are seeking a dedicated AI System Administrator to manage and optimize our company’s AI systems and platforms.

Job Description

Required Hard Skills (The "Must-Haves")

· Expert C/C++: 3+ years of experience in strictly kernel-mode software development.

· WinDbg Mastery: Ability to perform "post-mortem" debugging without symbols for third-party conflicts, and live kernel debugging using VMWare/Hyper-V/KDNET. You must be comfortable analyzing stack traces, register states, and trap frames.

· Windows Internal Knowledge: Deep understanding of:

• IRQLs (Interrupt Request Levels) and DPC/Dispatcher mechanics.
• Memory Management (Paged vs. Non-Paged pool, MDLs).
• Synchronization primitives (Spinlocks, Mutexes, Pushlocks).

· File System Filters: Proven experience with the Filter Manager Model (FltMgr) and Minifilter drivers (FltRegisterFilter, Pre/Post operation callbacks).

· EDR/Security Driver Experience: Familiarity with:

• ObCallbacks (ObRegisterCallbacks).
• Process/Thread/Image Load Notify routines (PsSetCreateProcessNotifyRoutineEx, etc.).
• Avoiding deadlocks when injecting logic into high-frequency system paths.

Preferred Skills (The "Nice-to-Haves")

· Reverse Engineering: Proficiency with IDA Pro or Ghidra to analyze potential conflicts with third-party drivers (e.g., Antivirus conflicts causing the crash).

· x64 Assembly: Ability to read disassembly to pinpoint the exact instruction causing the fault when source lines are ambiguous.

· WHQL/WHCP: Experience with the Windows Hardware Compatibility Program signing process (in case the fix requires re-certification) and Microsoft Virus Initiative program

Job Responsibilities

Write kernel and Driver software that can reach the internals of the operating system.

· Implement novel collection and protection techniques.

· Write robust driver infrastructure.

· Optimize for extreme performance constraints.

· Research uncharted territories of the Windows kernel, drivers, APIs, and internal mechanisms.

· Crash Dump Analysis: Perform deep-dive analysis of kernel memory dumps (Minidumps and Complete Memory Dumps) to identify the root cause of the crash (e.g., race conditions, stack overflows, invalid memory access, IRQL violations).

· Reproduction & Isolation: Design stress tests and verification procedures to reliably reproduce the BSOD in a controlled environment using tools like Driver Verifier and specific load-testing scripts.

· Code Review & Remediation: Audit the existing C/C++ driver code (specifically Minifilter callbacks and process notification routines) for thread safety, proper lock usage (Spinlocks/ERESOURCE), and memory handling.

· Patch Implementation: Implement robust fixes for the identified issues, ensuring zero regression in driver performance or security efficacy.

· Validation: Verify fixes using Microsoft Driver Verifier and HLK (Hardware Lab Kit) basics to ensure stability under high stress.

Department/Project Description

Our clients is an endpoint security company looking for an expert-level Windows Kernel Driver Specialist to assist engineering team in developing next generation Endpoint Detection and Response (EDR) agent. We are looking for an experienced individual to join a team that is responsible for developing our cutting-edge collection, prevention and protection technologies using both documented and undocumented proprietary kernel mode techniques.
The team develops the core kernel technologies for a wide variety of products, from EDR to next-gen AV, including work that encompasses many aspects of kernel development, from infrastructure through filter drivers to function hooking, to name a few.

GlobalLogic Ukraine is inviting a Trainee Embedded C Developer to join its Lviv office.

The customer is one of the largest enterprise construction tools manufacturers. They are looking to expand their market with new functionality and hardware solutions.

As a developer, you will implement and support existing embedded system libraries, as well as create integrated hardware-in-the-loop (HIL) testing systems to improve production code quality.

Requirements
We are looking for a Trainee Embedded C Developer to join our Lviv office who would like to:

• Gain experience in embedded software development for microcontrollers
• Improve theoretical and practical knowledge of the C programming language

• Understand and gain experience in modern approaches to integration testing for complete software applications on electronic devices

   

Key skills:

• C programming language
• Basic understanding of the microcontrollers (MCU) and digital/analog electronics

• Intermediate level of English

   

Nice to have:

• Version control systems
• Experience with ARM Cortex-M-based MCUs
• Good knowledge and work experience with embedded interfaces (SPI, UART, I2C etc.)
• Knowledge of the real-time operating systems / multithreading
• Understanding of the Continuous Integration (CI) and either Continuous Delivery or Continuous Deployment (CD) in the software development process

Job responsibilities

• Design and implement new features using the C language
• Develop parts of the embedded tool software according to the provided requirements
• Mantain and update existing software
• Design and implement software for unit and acceptance testing
• Communicate with the customer on a daily basis

You are a person who loves watching tables, review that everything works
You were a spider in your previous life and you hate it when some thread does not work
You love finding any issues in the system and drilling in the issues as far as you can
You enjoy working in untypical hours. [ Evening shifts ] [ Early morning shifts ]
You feel that you can make streaming services work seamlessly. By addressing issues as fast as you can
Join the content experts team to watch content and content tools to deliver the best quality possible with no threads broken

Requirements:

• At least 1-year experience in a similar position (Product Support or relevant experience etc.)
• Good English language skills (at least intermediate spoken and written level)
• Strong knowledge of ticketing systems and troubleshooting workflows.
• Jira, Grafana, Datadog knowledge
• Networking understanding

Good to have:

• Automation scripting, and tech support skills
• Cloud computing
• Web applications and servers architecture understanding,
• HTTP, REST API Monitoring tools and principles
   

Job responsibilities:

Shift Details & Work Schedule:

• Hours: 30–40 hours per week
• Shifts: 6:00 AM – 3:00 PM or 2:00 PM – 11:00 PM, Monday through Sunday
• Note: Flexibility is required. Shifts may include 8–12 hours on weekends and/or additional night shifts based on client requests

Key Responsibilities:

During your shift, you will be responsible for monitoring, triaging, and escalating issues during non-regular working hours. Specifically, you will:

• Monitor content streaming tools to identify and report any system issues
• Monitor content delivery tools to detect and troubleshoot transcoding errors
• Ensure third-party vendor tools and integrations are working seamlessly
• During monitoring downtime, review streaming content and provide quality feedback

Job Description

Required Experience

• 3 years of experience in software quality assurance, including functional and automation testing.
• Experience testing data-intensive systems and backend services.
• Hands-on experience with database testing (DB2, PostgreSQL, or similar) using SQL.
• Experience with test automation frameworks (Selenium, Cypress, or equivalent).
• Experience with Python
• Experience with API testing tools (Thunder Client, REST clients, or equivalent).
• Experience with CI/CD pipelines and Agile development methodologies.
• Bachelor's Degree in Computer Science, Information Technology, or related field — or equivalent work experience.

Preferred Experience

• Experience testing batch processing, ingestion pipelines, or distributed systems.
• Familiarity with copyright systems and data standards in the music industry (e.g., CWR, ISWC, IPI) is a significant plus.
• Experience with Azure DevOps for work tracking and pipeline integration.
• Familiarity with basic performance testing concepts is a plus, particularly against Java-based systems.
• Familiarity with DataDog for log monitoring and observability is a plus.
• Familiarity with Linux-based systems and command-line operations is a plus.
• Familiarity with Azure Portal and cloud resource management is a definite plus.
• Familiarity with AI as an augmentative tool for test case generation, documentation, and productivity is a plus.

Skills & Abilities

• Strong analytical and problem-solving skills with attention to detail.
• Ability to validate complex data transformations and multi-system workflows.
• Clear communication skills across technical and non-technical stakeholders.
• Ability to work independently and manage workload across multiple concurrent projects.
• Comfortable operating in a fast-paced, Agile delivery environment.

Job Responsibilities

Functional Testing

• Develop, coordinate, and execute end-to-end functional testing for core platform workflows including ingestion, parsing, transformation, and storage.
• Validate data integrity and correctness across DB2, PostgreSQL, and downstream processing pipelines.
• Create and maintain detailed test plans, test cases, and test data for functional, regression, and integration testing.
• Perform API testing and validation for services supporting data ingestion, matching, and processing workflows.
• Execute regression and smoke tests across assigned platforms for each release cycle.
• Identify, document, and manage defects using enterprise bug tracking tools (Azure DevOps / Jira).

Automation & Technical

• Develop and maintain automated test suites using Selenium, Cypress, or equivalent frameworks.
• Integrate automated tests into CI/CD pipelines (Azure DevOps preferred).
• Validate complex data-driven workflows including parsing, normalization, and transformation logic.
• Perform database validation testing using SQL across DB2 and relational systems.
• Support testing of distributed and batch processing systems including ingestion pipelines, parsers, and matching engines.

Collaboration & Process

• Collaborate with developers and architects to define acceptance criteria and testability requirements.
• Participate in Agile ceremonies: sprint planning, backlog grooming, and retrospectives.
• Provide clear and consistent status reporting on testing progress, risks, and quality metrics.
• Follow and contribute to QA standards, frameworks, and methodologies established by the team.

Department/Project Description

Our client is a performance rights organization in the United States. It collects blanket license fees from businesses that use music, entitling those businesses to play or sync any songs from the client's repertoire of over 22.4 million musical works. On a regular basis, the client distributes the money to songwriters, composers, and music publishers as royalties to those members whose works have been performed.

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

OU’s: Currently, Nuero, Cardio, Diabetes is the OU that HDP data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

As a System Engineer within the Company Research & Systems Engineering team, you will have the opportunity to work on cloud-based solutions with a strong focus on AWS, Data Engineering, and scalable data platforms. You will collaborate with cross-functional engineering teams to design, develop, integrate, and maintain reliable cloud-native systems and data workflows.

In this role, you will contribute to building and evolving AWS-based architectures, data processing pipelines, and integrations across distributed systems. You will develop a strong understanding of end-to-end system architecture, data flows, infrastructure, and operational requirements, helping to drive technical implementation and delivery throughout the software development lifecycle.

You will work closely with software engineers, data engineers, architects, and other stakeholders to ensure that solutions are scalable, secure, maintainable, and aligned with both technical and business requirements.

• 3+ years of experience in System Engineering, Software Engineering, Cloud Engineering, Data Engineering, or a related technical role.
• Strong software development experience with Python.
• Hands-on experience designing, developing, or supporting solutions on AWS.
• Experience with data engineering concepts and technologies, including data ingestion, ETL/ELT, transformation, validation, and data processing pipelines.
• Strong SQL skills and experience working with relational and/or NoSQL databases.
• Experience with REST APIs, service integrations, and distributed application architectures.
• Understanding of cloud-native architecture principles and modern software development practices.
• Experience troubleshooting applications and distributed cloud systems and performing root cause analysis.
• Experience with Git and modern CI/CD development workflows.
• Strong analytical and problem-solving skills with the ability to understand complex systems and data flows.
• Ability to work effectively with software, data, cloud, and machine learning engineering teams.
• BA/BS in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience with AWS data services such as S3, Glue, Athena, EMR, or similar technologies.
• Experience with Amazon SageMaker and machine learning development or deployment workflows.
• Experience with Infrastructure as Code using AWS CloudFormation, Terraform, or AWS CDK.
• Experience with AWS monitoring and observability services such as CloudWatch and CloudTrail.
• Experience working in Agile/Scrum development environments.

Job responsibilities

• Work with engineering and cross-functional stakeholders to gather, analyze, clarify, and document business, functional, and non-functional requirements, translating them into clear system and technical requirements.
• Define system requirements, interfaces, data flows, integration requirements, acceptance criteria, and technical constraints for cloud-based software components, data platforms, and integrations.
• Maintain requirements throughout the development lifecycle, ensuring traceability between business needs, system requirements, technical design, implementation, and validation.
• Identify gaps, dependencies, assumptions, and potential technical risks in requirements and work with stakeholders to resolve them before and during implementation.
• Design and contribute to scalable AWS-based architectures supporting data ingestion, processing, transformation, storage, and distribution.
• Analyze data and system behavior to support architecture, implementation, performance, and product decisions.
• Collaborate with Data Engineering, Software Engineering, Cloud Engineering, DevOps, and Architecture teams to design and integrate end-to-end cloud solutions.
• Support operational monitoring, logging, alerting, and troubleshooting of cloud applications and data processing workflows.
• Contribute to system architecture and technical design discussions, including scalability, reliability, security, performance, and cost considerations.
• Participate in technical and requirements reviews to ensure solutions meet defined requirements, engineering standards, cloud best practices, and established software development processes.
• Support continuous improvement of cloud infrastructure, data pipelines, deployment processes, requirements management, and engineering practices throughout the software development lifecycle.

• С++ knowledge
• User space Linux Development experience: command line, build application, GCC, CMake, Make
• Practical experience with tools like GIT/Github
• Good communication skills
• Engineering mindset and focusing on solving problems but not on a specific tool (absence of dogmatic adherence to a particular tool or programming language)
• Creativity and innovation spirit
• Intermediate+ English level

Will be a plus:

• Experience in QNX
• Experience in Automotive
• Experience in Networking
• Agile experience
• Knowledge and experience in Python

Job Responsibilities

As per role of Trainee SW Engineer successful candidate will be involved in the development of Automotive Systems for EU OEM. Development of algorithms is intended to be one of the major responsibilities:

· Development of Automotive Systems for EU OEM;
· Optimize and extend automotive system components

Department/Project Description

Due to intensive growth, GlobalLogic Automotive department is glad to invite Trainee SW Engineer to an Automotive project.
The project aim is to optimize, extend with new features Automotive Solution. Our clients are Tier 1s and OEMs from Europe and USA and development is targeted to Automotive Solution what will be deployed in newest European cars. The project is considered as technical excellence and we are paying huge attention to technical challenge motivation of our team members as well as excellence compensation.

Description

This organization operates within the dynamic manufacturing and industrial sector, delivering advanced technological solutions and precision equipment. It serves a diverse clientele, including large-scale manufacturers and specialized industrial enterprises, by enhancing operational efficiency and product quality. The company is positioned as a key innovator, providing critical tools and systems that drive progress in various industrial processes. Its offerings often encompass sophisticated instrumentation, automation platforms, and materials science applications. Through its contributions, the entity plays a vital role in advancing industrial capabilities and fostering innovation across global production landscapes.

Requirements

• Possessing 0-1 years of foundational experience in quality assurance, demonstrating a keen interest in software testing methodologies, and a commitment to learning within an enterprise environment.
• This role operates within a flexible work model, allowing for remote collaboration from various locations across Ukraine while fostering team engagement through virtual platforms and occasional on-site meetings as required.

Required Skills:

• Demonstrating a foundational understanding of Quality Assurance (QA) principles and basic testing concepts, eager to apply theoretical knowledge in practical scenarios.
• Exhibiting basic knowledge of Sonar or similar code quality analysis tools, with a willingness to learn and utilize them for static code analysis and issue identification.

Job responsibilities

• Assist in the execution of manual test cases under the guidance of senior QA engineers.
• Support the documentation of test results and identified defects in tracking systems.
• Participate in the review of functional specifications and design documents to understand testing requirements.
• Collaborate with team members to reproduce reported issues and verify bug fixes.
• Help prepare test data and configure test environments for various testing activities.
• Observe and learn best practices in quality assurance processes and methodologies.
• Contribute under guidance to the creation and maintenance of basic test plans and test scenarios.
• Assist in performing regression testing to ensure existing functionalities remain stable after changes.
• Support the analysis of test results to identify trends and potential areas for improvement.
• Learn to utilize basic QA tools, including those for defect tracking and test case management.

Description

A program of projects within the Energy domain. We will work on various applications covering generation control, distribution control, transmission control, and service crews control. The implementation area of these products is very high-scale (e.g. country-wide systems).

Requirements

7+ years in DevOps/infrastructure roles
• Expert familiarity with Microsoft Azure Tech stack
• Experience with CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps, etc.)
• Experience with cloud infrastructure
• Familiarity with secrets/token management for third-party API integrations
• Experience supporting regulated or access-controlled environments
Good written and spoken communication skills in English

Job responsibilities

– Own the deployment, hosting, and operational reliability of the platform, including its integration touchpoints with
downstream systems and identity providers.
– Set up and maintain CI/CD pipelines for the platform build
– Manage deployment/hosting infrastructure for the platform
– Support secure integration between the platform, downstream systems of record, and identity providers
– Implement monitoring/alerting for API integrations (system sync, document ingestion pipelines)
– Manage environment/access-token handling securely across integrated systems
– Support staged rollout and UAT environments during the hardening phase
– Ensure infrastructure supports data governance requirements (no customer data leaving approved boundaries)

Job Description

• Linux Administration & Networking: Solid expertise in Linux system administration and fundamental IP networking concepts
• Cloud & Containerization: Practical experience with Kubernetes, Docker, Helm, and cloud infrastructure supporting Microservices Architectures
• DevOps Methodologies: Strong familiarity with core DevOps practices, continuously improving CI/CD workflows, build automation, and deployment pipelines
• Jenkins Automation: Practical experience configuring, setting up, and maintaining Jenkins jobs and pipelines
• Language Proficiency: Intermediate+ written and spoken English for effective collaboration within cross-functional, global teams

• Problem-Solving Mindset: Strong analytical skills with a focus on reliability, scalable automation, and continuous improvement.

   

Job Responsibilities

CI/CD Pipeline Management & Automation: 

• Design, build and maintain robust Jenkins pipelines.
• Automate build, test and deployment workflows across different environments.
• Troubleshoot pipeline failures and optimize continuous integration/continuous deployment (CI/CD) execution speeds.

Cloud & Infrastructure Operations:

• Manage, deploy and monitor containerized microservices hosted on Kubernetes using Helm charts and Docker.
• Administer and maintain Linux-based servers, network configurations, etc
• Ensure high availability, security and scalability of environments and runtime infrastructure.

Team Collaboration & Process Improvement: 

• Work closely with cross-functional development and operations teams to establish DevOps best practices.
• Maintain clear documentation for pipeline setups, deployment procedures and infrastructure topology.

• Participate in code reviews, technical discussions and sprint planning sessions using English communication

   

Department/Project Description

In Globallogic we have a Lab that works for big world-wide telecom company since 2002.

Client is the Company is a world-leading provider of telecommunications equipment & services to mobile & fixed network operators. Over 1,000 networks in more than 180 countries use company's equipment, & more than 40 percent of the world's mobile traffic passes through company's networks. Using innovation to empower people, business & society, they are working towards the Networked Society, in which everything that can benefit from a connection will have one. We apply our innovation to market-based solutions that empower people & society to help shape a more sustainable world.

Description

    We are looking for a proactive and detail-oriented Business Analyst to bridge the gap between business vision and technical execution. In this role, you will act as a key liaison between business stakeholders, UI/UX designers, and engineering teams. You will be responsible for eliciting, analyzing, and translating complex business needs into clear, actionable requirements, ensuring seamless delivery and alignment across all project streams.

    Our client is innovative manufacturer of medical devices in the United States which produces devices and software applications.
At this project, you will have a great opportunity to be involved into the full development life cycle of medical software which is intended to help individuals by processing certain information taken from medical devices to identify health trends and to track daily activities. As additional there are opportunities to work with medical devices, in scope of end-to-end testing.

Be the one who writes the next page in Healthcare!

Requirements

1. Experience: 5+ years in Business Analysis or Product Management on complex software projects.
2. PO Mindset: Demonstrable experience acting as a proxy-Product Owner. Experience with roadmapping, backlog grooming, and strategic planning in an Agile/Scrum environment is essential.
3. Proactivity & Leadership: Strong history of “owning” the solution. You must be a self-starter who identifies process bottlenecks and fixes them without waiting for permission.
4. Communication Skills: Exceptional ability to communicate complex technical and clinical information to diverse audiences. 
5. Tooling: Proficiency in Jira and Confluence, specifically for managing traceability and documentation.

6. English: Upper-Intermediate+

    

Job responsibilities

• Responsible for developing and owning all documentation capturing business and functional requirements
• Collaborate with cross-functional teams to design and propose business solutions
• Engage with the client to understand/develop/articulate business requirements
• Develop business and functional product knowledge and expertise for engaged clients to complement product engineering and design
• Engage with the client to influence and steer decision-related to Product Strategy/Design based on market and customer requirements
• Collaborate with internal teams to develop product based on industry trends and customer needs

We are seeking a hands-on AI Platform Engineer to join our team. The primary mission of this role is to operate, automate, manage, and evolve
our enterprise AI Platform so that internal development teams can rely on a stable, secure, scalable, and well-governed environment for building AI solutions.
This is a platform engineering and operations role, not an application development position. The ideal candidate is proactive, autonomous, understands cloud platform engineering principles, and can execute technical initiatives with minimal supervision.
The role spans infrastructure, CI/CD automation, API management, platform governance, and AI services, with a strong emphasis on Infrastructure as Code and operational excellence.

Requirements:

• Hands-on experience operating enterprise platforms in Microsoft Azure environments
• Strong experience with Terraform and Infrastructure as Code practices
• Experience designing and maintaining CI/CD pipelines using Azure DevOps
• Practical knowledge of Azure API Management (APIM)
• Experience with Azure AI Foundry, Azure OpenAI, or related Azure AI services
• Understanding of cloud networking, security, identity management, and access control
• Strong troubleshooting and problem-solving skills.
• Proven ability to work autonomously and manage tasks end-to-end

Nice-to-Have Skills:

• Experience with Portkey AI for LLM routing, observability, guardrails, caching, or governance
• Knowledge of multi-model AI platforms and model gateway architectures
• Familiarity with AWS Bedrock or other cloud AI platforms
• Experience implementing platform observability solutions and operational dashboards

• Knowledge of enterprise AI governance, compliance, and security controls

   

Candidate Profile:

• Operates independently while keeping stakeholders informed and aligned
• Has a platform-first mindset and understands how developers consume shared services
• Is comfortable working across infrastructure, DevOps, API management, and AI services
• Takes ownership of operational excellence, automation, and continuous improvement
• Is proactive, reliable, and capable of driving technical tasks from design through implementation
• Learns quickly and adapts to an evolving cloud and AI technology landscape

• Values documentation, standardization, and long-term maintainability of platform solutions

   

Job responsibilities:

AI Platform Operations

• Troubleshoot platform-level issues and coordinate resolution across multiple Azure services
• Support platform scalability, reliability, availability, and operational excellence
• Manage lifecycle operations for LLMs, embedding models, AI services, and platform environments across development, non-production, and production
• Administer and maintain Azure AI Foundry workspaces, projects, model deployments, connections, and platform configuration

Infrastructure as Code & Automation

• Develop, maintain, and enhance Infrastructure as Code using Terraform
• Build and manage reusable infrastructure modules, templates, and deployment patterns
• Automate environment provisioning, configuration management, and platform operations
• Ensure consistency and repeatability across environments through automation
• CI/CD & DevOps
  Design, implement, and maintain CI/CD pipelines using Azure DevOps
• Manage build, release, deployment, validation, and rollback processes
  Improve deployment reliability through testing, automation, and release governance
  Promote DevOps best practices across the platform ecosystem

API Platform & Integration Management

• Operate and maintain Azure API Management (APIM) as a core component of the AI Platform
• Configure APIs, policies, authentication, authorization, throttling, and routing mechanisms
• Support secure exposure of AI capabilities to internal development teams
• Assist in troubleshooting API connectivity, authentication, and integration challenges

Observability & Monitoring

• Configure and maintain platform-wide logging, monitoring, tracing, and telemetry
• Build dashboards and reporting for platform usage, performance, adoption, cost, and operational health
• Monitor platform capacity, quotas, consumption, and service reliability
• Implement alerting and diagnostics to ensure stable platform operations