GlobalLogic

Core Qualifications Include:

• Strong experience in algorithm development, ideally in robotics, imaging, control systems for Ophthalmology Devices
• Proficiency in C++ and Python, with experience on Windows and/or Linux.
• Solid background in mathematics, physics, or computational sciences.
• Experience working on embedded systems or regulated products (medical)
• Understanding of software architecture, design patterns, and data flow optimization.
• Familiarity with CI/CD pipelines and engineering best practices.
• Previous experience in the medical domain is a strong plus.
• German is desirable, but not mandatory.

Job Responsibilities:

• Architectural Leadership. Define and evolve the software architecture for clinical algorithm frameworks, ensuring modularity, scalability, and maintainability.

   

• Collaborate with systems engineering, clinical experts, and product management to translate clinical requirements into software architecture and design specifications.
   
• Establish architectural patterns and best practices for algorithm integration, data flow, and performance optimization.
   
• Guide the design and implementation of clinical algorithms, ensuring clinical accuracy, robustness, and compliance with regulatory standards.
   
• Review and validate algorithmic models and their integration into our medical devices
   
• Ensure traceability from clinical requirements to algorithmic implementation and verification.
   
• Cross-Functional Collaboration. Act as a technical liaison between software engineering, clinical science, data science, and quality teams.
   
• Support risk analysis, clinical validation, and regulatory documentation efforts.
   
• Mentor and support development teams in implementing architectural decisions and coding standards.
   
• Innovation & Strategy. Stay current with emerging technologies in clinical decision support, AI/ML in healthcare, and medical software architecture.
   
• Contribute to the long-term technical roadmap for clinical algorithm platforms and tools.
• Ability to travel to Germany (approximately 1 time per month)

Department/Project Description:

We are looking for a skilled Software Engineer with strong algorithmic thinking and a solid mathematical foundation to join our R&D team developing advanced laser-based medical devices for eye surgery.

This role is ideal for engineers passionate about precision control, mathematical modeling, and real-time systems, especially those with experience in robotics, medical imaging, or other highly regulated fields. You’ll be designing core algorithms that directly impact surgical outcomes, working closely with clinical, software, and hardware teams.

About the Client:
Our client is a global leader in eye care, dedicated to improving lives by enhancing sight. With a strong portfolio of innovative products—including contact lenses, eye care solutions, and surgical instruments for cataract and retina procedures—they serve customers in over 140 countries. By advancing cutting-edge technologies and solutions, they continue to shape the future of eye health worldwide.

About the Project:
As part of their ongoing innovation, our client is enhancing their medical devices with advanced connectivity features and cloud-based services. Since adoption of next-generation solutions is gradual, the project must ensure smooth integration between legacy and modern systems in real-world environments.

The mission is to design and deliver a comprehensive set of tools, services, and libraries that enable seamless interoperability of existing devices with both cloud and on-premises infrastructures. The focus is on ensuring data integrity, security, and interoperability across all systems.

Project Status:
The project has successfully completed its high-level requirements definition and initial technical planning. The next stage involves detailed design, implementation, and verification & validation activities. To achieve this, our client is now scaling up the software engineering team and seeking skilled professionals to join this critical phase of development.

Description

Our customer is a global leader in digital media and entertainment services across film, video and online content from capture to consumption.

Since 1915, our customer has been the trusted partner for the world’s most successful Hollywood studios, independent film companies, TV networks, exhibitors, advertisers and others, offering best-in-class solutions in production, post production, distribution, asset and workflow management and new digital solution-based technologies.

This position is ideal for individuals who have the drive and desire to ‘make things’. It requires a highly motivated individual with attention to details and a hunger to learn and solve problems.

Requirements

Shifted working hours – Readiness to work till 12 AM Kyiv time

Required Experience

• 6+ years of experience working on machine learning applications and deploying AI/ML models into production environments;
• Strong understanding of AI/ML concepts, algorithms, and technologies.
• Proficiency in Python and experience in machine learning frameworks, (i.e. PyTorch, TensorFlow).
• Experience building and automating scalable machine learning pipelines in cloud ecosystems (Azure, AWS, GCP);
• Familiarity with cloud tools like S3, EC2, SageMaker, and Lambda;
• Advanced knowledge of Machine Learning models and LLM.
• Expertise in neural networks, computer vision, NLP, and/or reinforcement learning.
•  

Preferred Experience

• Experience with building and fine tuning various image, text, audio, and video classification models, such as shot/scene detection, captions, object labeling, attention scoring, etc.
• Experience with Media and Entertainment industry file formats and applications (IMF, Protools, MXF, 3D, etc)
• Experience with any of the following: NVIDIA Enterprise AI Solutions, AWS SageMaker, AWS Bedrock, AWS Clean Rooms, Data Lakes
  Experience with fine tuning models, training, validating, testing, and deploying in production setting.

Job responsibilities

An engineer in this position will design, develop, and architect services for the platform, in addition to:

• Contributing to cutting-edge R&D initiatives including service integration with emerging
  frameworks and platforms.
• Assisting with technical resolution of issues on mission critical production systems (you build it, you own it, you run it.)
• Thinking out of the box to come up with solutions that scale, are fault-tolerant, easy to grasp and elegant.

Description

We are looking for a self-motivated, initiative, and collaborative Lead UI/UX designer, who will be able to join our new project and lead the Discovery and transition to the Development phase. The project is a big enterprise application with a back office and a mobile client. We’re going to extend its functionality with SmartWatch (WatchOS) and CarPlay applications. You will be part of a cross-functional, cross-geo team of developers, test engineers, ui/ux designers, and architects who will create applications from scratch and integrate them with the back-office API.

Requirements

• 4+ years of experience as a UI/UX Designer in a client-facing setup, designing applications within business objectives and technological constraints
• Advanced knowledge of design software 
• Experience with prototyping tools 
• Experience of working in modern collaborative environments
• Excellent communication skills (oral, written, and presentation) with the ability to communicate effectively in a global environment
• Substantial portfolio of varying projects in the field of Mobile and Web
• Experience with SmartWatch and CarPlay is highly beneficial
• Ability to work autonomously and in a team environment; 
• Working with complex design libraries and design documentation
• Collaborating in a cross-functional team with a variety of stakeholders across different business functions and levels (developers, customer representatives, strategists, QA, business analysts etc.)
• Experience in creating UX artifacts (User Journeys, User Flows, Personas)
• Experience of working with design systems
• Understanding of HTML, JavaScript, and CSS concepts that inform your following design and interaction decisions.
   

Job responsibilities

Start the Discovery phase with a small, core team of cross-functional experts to create lo-fi designs, user and technical requirements for 2 mobile applications: for SmartWatch (WatchOS) and CarPlay.

Leverage the existing design system used by the client

Create designs based on the existing design system. Work with the Architect, BA, and developers to groom and validate requirements

Consult and collaborate with internal and external partners on User Interface-related topics

Prototype potential new User Interface solutions

Partner with mobile developers to create friendly designs

Provide input to the design process and end-to-end technology innovation within the company

Job Description

We are hiring a Strong Backend Engineer to join the team developing the OneAPI backend platform. The role is ideal for someone with strong Java fundamentals, some cloud-native experience, and an eagerness to grow in platform engineering within an agile, DevOps-driven environment.

• 6+ years of backend development experience with Java & Spring Boot.
• Hands-on experience with cloud platforms (AWS/GCP) and containerized applications.
• Practical knowledge of Kubernetes (K8s) for service orchestration.
• Exposure to DevOps practices: CI/CD, IaC, automation, monitoring.
• Versatility beyond Java (e.g., scripting, working with APIs, DBs, or other languages).
• Experience working in a team responsible for products quality
• Strong analytical, debugging, and collaboration skills.
  
   

Job Responsibilities

• Design, develop, and maintain APIs and backend services for OneAPI.
• Contribute to cloud-native architecture leveraging AWS and GCP.
• Implement scalable solutions with Kubernetes-based deployments.
• Work closely with the Technical Lead to align on architecture and coding standards.
• Take ownership of features end-to-end: from design to deployment and monitoring.
• Troubleshoot complex technical issues and provide production support when needed.
• Ensure quality of develope software

Department/Project Description

Our client is a global leader in cloud security, enabling organizations to securely transform their networks and applications for a mobile and cloud-first world. Through its Zero Trust Exchange™ platform, it provides fast, secure, and seamless access to applications, regardless of device, location, or network. Trusted by thousands of enterprises, their products help reduce risk, lower IT costs, and deliver a better user experience by replacing traditional on-premises security with a modern cloud-delivered approach.

Skill Category

Java

Keyskills - Must Have

• Java
• Spring Boot
• AWS
• Kubernetes
• Microservices

Keyskills - Nice to Have

• gcp

Project Description

Due to intensive growth, GlobalLogic Automotive department is glad to invite a Senior SW Test Engineer to an Automotive project.
The project's 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, which will be deployed in the newest European cars. The project is considered as technical excellence, and we are paying huge attention to the technical challenge motivation of our team members as well as excellence compensation.
In our project, we are building a computer-in-the-car architecture - key for enabling innovation within areas such as advanced connectivity, machine learning, and autonomous driving.

Job Description

• Office work: 5 days per week in the office.
• Deep knowledge of software testing, preferably in the automotive industry.
• Excellent knowledge of Python and experience in creating advanced automation.
• Robot Framework (nice to have)
  Basic knowledge of Ethernet.
• Basic knowledge of C (ability to understand code).
• UDS knowledge
• SomeIP (nice to have)
• Basic HW debugging hands-on experience (break points, JTag, HW debugging, etc.), trace32 (nice to have, not required)

Job Responsibilities

• This role focuses on designing and implementing automated test strategies for low-level embedded systems, specifically targeting functionality across the MCAL, ADC, OBD diagnostics, and Flash Bootloader (FBL)/SWDL processes.
• A core responsibility is developing and executing tests to rigorously validate cybersecurity features, including Secure Boot and the security of the HSM/Boot Manager architecture, ensuring compliance with TARA principles and the software signing process.
• The engineer will also be responsible for creating automated tests that verify system safety up to ASIL-B (e.g., Program Flow Monitoring, MPU configuration, Reset prevention) and for performance testing related to startup time measurement.

Description

Our client is an innovative manufacturer of medical devices in the United States, producing devices and software applications.

In this project, you will have a great opportunity to be involved in the full development life cycle of medical software, which is designed to assist individuals by processing information from medical devices to identify health trends and track daily activities. In addition, there are opportunities to work with medical devices, in the scope of end-to-end testing.

Requirements

Languages:
· Proficiency in Python (or Go). Shell scripting and Terraform familiarity are a plus.

Cloud & Infrastructure:
· Hands-on experience with AWS (IAM, SQS, RDS, Redis/ElastiCache, S3, SNS, Lambda, VPC).
· Experience validating infrastructure via Terraform or Terratest.
· Kubernetes fluency (namespaces, Helm, ConfigMaps, RBAC, Services, Pods, HPA).

Testing & Validation:
· Experience designing black-box/gray-box tests for infrastructure and configuration correctness.
· Familiar with GitOps or Infrastructure-as-Code testing practices.

Observability:
· Proficient with New Relic, OpenTelemetry, or similar platforms to track real-time application and resource performance.

Performance Testing:
· Experience designing and analyzing results from performance and load testing frameworks.

Nice to have:
· Experience with service meshes (Istio, Linkerd) or sidecar observability.
· Familiarity with GitLab pipelines, Argo CD, and Helmfile/Helm charts.
· Background in SRE or DevSecOps practices.
· Experience with Cilium and eBPF observability, (layer 3, 4, and 7)

Job responsibilities

 – Perform testing on software systems without user interfaces, focusing on API testing.
 – Develop, execute, and maintain automated test scripts to ensure software quality and reliability.
 – Write and maintain code. 
 – Utilize Python for scripting and automation tasks.
 – Use Selenium WebDriver for web application testing.
 – Implement performance testing using Jmeter.
 – Apply solid QA practices including black box testing, risk-based testing, system testing, regression testing, and exploratory testing to identify and resolve issues.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Job Description

• Strong hands-on experience with Azure Databricks (DLT Pipelines, Lakeflow Connect, Delta Live Tables, Unity Catalog, Time Travel, Delta Share) for large-scale data processing and analytics
• Proficiency in data engineering with Apache Spark, using PySpark, Scala, or Java for data ingestion, transformation, and processing
• Proven expertise in the Azure data ecosystem: Databricks, ADLS Gen2, Azure SQL, Azure Blob Storage, Azure Key Vault, Azure Service Bus/Event Hub, Azure Functions, Azure Data Factory, and Azure CosmosDB
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing
• Proficiency with RDBMS (MS SQL, MySQL, PostgreSQL) and NoSQL databases
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC
• Familiarity with machine learning and AI integration within the data platform context
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control)
• Strong analytical and problem-solving skills with attention to detail
• Excellent teamwork and communication skills
• Upper-Intermediate English (spoken and written)

Job Responsibilities

• Design, implement, and optimize scalable and reliable data pipelines using Databricks, Spark, and Azure data services
• Develop and maintain config-driven ETL/ELT solutions for both batch and streaming data
• Ensure data governance, lineage, and compliance using Unity Catalog and Azure Key Vault
• Work with Delta tables, Delta Lake, and Lakehouse architecture to ensure efficient, reliable, and performant data processing
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions
• Design and maintain data models and schemas optimized for analytical and operational workloads
• Identify and resolve performance bottlenecks, ensuring cost efficiency and maintainability of data workflows
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.
We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

• Strong hands-on experience with Azure Databricks (DLT Pipelines, Lakeflow Connect, Delta Live Tables, Unity Catalog, Time Travel, Delta Share) for large-scale data processing and analytics
• Proficiency in data engineering with Apache Spark, using PySpark, Scala, or Java for data ingestion, transformation, and processing
• Proven expertise in the Azure data ecosystem: Databricks, ADLS Gen2, Azure SQL, Azure Blob Storage, Azure Key Vault, Azure Service Bus/Event Hub, Azure Functions, Azure Data Factory, and Azure CosmosDB
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing
• Proficiency with RDBMS (MS SQL, MySQL, PostgreSQL) and NoSQL databases
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC
• Familiarity with machine learning and AI integration within the data platform context
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control)
• Strong analytical and problem-solving skills with attention to detail
• Excellent teamwork and communication skills
• Upper-Intermediate English (spoken and written)

Job Responsibilities

• Design, implement, and optimize scalable and reliable data pipelines using Databricks, Spark, and Azure data services
• Develop and maintain config-driven ETL/ELT solutions for both batch and streaming data
• Ensure data governance, lineage, and compliance using Unity Catalog and Azure Key Vault
• Work with Delta tables, Delta Lake, and Lakehouse architecture to ensure efficient, reliable, and performant data processing
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions
• Design and maintain data models and schemas optimized for analytical and operational workloads
• Identify and resolve performance bottlenecks, ensuring cost efficiency and maintainability of data workflows
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.
We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Project Description

Our customer is the top Tier-1 company in the automotive world.

The company is cooperating with one of the biggest car manufacturers to develop infotainment systems for a wide variety of car lines.

The team at GlobalLogic is responsible for maintaining and updating customer products after SOP.
Maintenance includes AOSP, Yocto Linux, and Linux Kernel parts and customer-specific features, bug-fixing, system integration, and validation.

SW Platform: Android 13/14/15, Yocto Linux, Linux Kernel 5.14/5.15
HW platform: Qualcomm 8155, SA8195-AA, 8150

Job Description

REQUIRED
Hybrid work model. We expect you to work from office 1-2 days per week.

• 0.5+ years of experience in software development
• Good knowledge of C
• Good knowledge of basic data structures and algorithms
• Experience with Unix/Linux usage (CLI)
• English - writing/speaking

PREFERRED

• Experience in Embedded Systems development
• Experience in Linux System and Kernel space development
• Experience in the development of Android-based systems
• Knowledge of version control systems (GIT) and build tools (Make)
•  

Job Responsibilities

• Participate in a vendor-specific HW platform bring-up
• Contribute to the development and debugging of the Kernel-related issues
• Contribute to the BSP development
• Contribute to the migration to the new kernel versions
• Contribute to the performance analysis and optimization of the existing system
• Contribute to the updating, maintaining, and bug-fixing of the Android-specific features on the OS level
• Porting customer-specific features to the newest Android versions
• Contribute to the HAL development

Project Description

As a Cloud Architect, you will work directly with the customer to design and document cloud solutions that will be developed and provided to automotive Tier 1 and OEM companies.

The project has two directions:

1) SDV Cloud Framework - Designed to streamline the software development process for OEMs and contractors. The framework, built on Terraform CDK, deploys an architecture based on human-readable project requirements and supports multiple cloud providers.

2) Data Analysis Cloud - Introduces Automotive Automotive-compliant product with seamless Cloud integration. It allows to transfer of vehicle camera content, real-time data to the Cloud, and IoT commands to the Edge platform.

Job Description

Requirements:

• 2+ years as a Lead/Architect Engineer in product development.
• 1+ year experience in Architecture documentation for complex solutions (WBS, Dependencies, Constraints, Estimation).
• Excellent documentation and diagramming skills (PlantUML, Draw.io).
• Experience in using Jira for structured project execution; ability to manage projects from conception to completion.
• Strong hands-on experience with AWS.
• Hands-on experience with complex code management in GitHub/GitHub Actions and GitLab.
• Hands-on experience with Kubernetes, Terraform + Terraform CDK, CloudFormation, Helm, Ansible, and Docker.
• Experience in Bash and Python scripting.
• Strong understanding of Firewalls, Proxies, Certificates, Network Security, etc.
• Deep knowledge of Compute, Storage, Networking, and Database Services.
• Upper-intermediate or Advanced English level with solid communication skills.

Nice to Have:

• High proficiency in Linux Server Administration.
• Knowledge of Object-Oriented Programming.
• Familiarity with GitOps approaches.
• Experience with Azure and OpenStack.
• Experience with Horizontal/Vertical Scaling and Load Balancing.
• Experience with IoT or Vehicle Telematics Platforms.

Job Responsibilities

• Translate stakeholder requirements into system/software architecture, aligning with project objectives and standards.
• Design, document, and maintain system/software architecture supporting IoT data ingestion, storage, data analytics, and ML data processing requirements.
• Define and maintain deployment requirements for infrastructure-as-code.
• Ensure alignment with functional and non-functional requirements.
• Define policies for data integrity, storage, traceability, backup, and recovery.
• Maintain repositories with a branching strategy, tagging, and releasing.
• Work with the Product Owner to extend the feature list, enhancing the framework continually.
• Oversee the highest quality of the product source code and branches.
• Define and delegate tasks to the DevOps team using Jira; ensure clear communication of implementation expectations.
• DevOps team people/technical mentoring.

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.
We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people’s lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.



Requirements

• Strong hands-on experience with Azure Databricks (DLT Pipelines, Lakeflow Connect, Delta Live Tables, Unity Catalog, Time Travel, Delta Share) for large-scale data processing and analytics
• Proficiency in data engineering with Apache Spark, using PySpark, Scala, or Java for data ingestion, transformation, and processing
• Proven expertise in the Azure data ecosystem: Databricks, ADLS Gen2, Azure SQL, Azure Blob Storage, Azure Key Vault, Azure Service Bus/Event Hub, Azure Functions, Azure Data Factory, and Azure CosmosDB
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing
• Proficiency with RDBMS (MS SQL, MySQL, PostgreSQL) and NoSQL databases
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC
• Familiarity with machine learning and AI integration within the data platform context
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control)
• Strong analytical and problem-solving skills with attention to detail
• Excellent teamwork and communication skills
• Upper-Intermediate English (spoken and written)

Job responsibilities

• Design, implement, and optimize scalable and reliable data pipelines using Databricks, Spark, and Azure data services
• Develop and maintain config-driven ETL/ELT solutions for both batch and streaming data
• Ensure data governance, lineage, and compliance using Unity Catalog and Azure Key Vault
• Work with Delta tables, Delta Lake, and Lakehouse architecture to ensure efficient, reliable, and performant data processing
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions
• Design and maintain data models and schemas optimized for analytical and operational workloads
• Identify and resolve performance bottlenecks, ensuring cost efficiency and maintainability of data workflows
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment

Job Description

• Terraform

• AWS Platform: Working experience with AWS services - in particular serverless architectures (S3, RDS, Lambda, IAM, API Gateway, etc.) supporting API development in a microservices architecture

• Programming Languages: Python (strong programming skills)

• Data Formats: Experience with JSON, XML, and other relevant data formats

• CI/CD Tools: experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools

• Scripting and automation: experience in scripting languages such as Python, PowerShell, etc.

• Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, ELK, Dynatrace, Prometheus, etc…

• Source Code Management: Expertise with git commands and associated VCS (Gitlab, Github, Gitea, or similar)

NICE TO HAVE

• Strongly Preferred: Infrastructure as Code: Experience with Terraform and CloudFormation - Proven ability to write and manage Infrastructure as Code (IaC)
• Documentation: Experience with markdown and, in particular, Antora for creating technical documentation
• Experience working with Healthcare Data, including HL7v2, FHI,R and DICOM
• FHIR and/or HL7 Certifications
• Building software classified as Software as a Medical Device (SaMD)
• Understanding of EHR technologies such as EPIC, Cerner, e.c.
• Experience in implementing enterprise-grade cyber security & privacy by design into software products
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC – Waterfall & Agile methodologies
• Software estimation
• Experience leading software development teams onshore and offshore

Job Responsibilities

• Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.
• Involved in planning of system and development deployment, as well as responsible for meeting compliance and security standards.
• API development using AWS services
• Experience with Infrastructure as Code (IaC)
• Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.
• May document testing and maintenance of system updates, modifications, and configurations.
• May act as a liaison with key technology vendor technologists or other business functions.
• Function Specific: Strategically design technology solutions that meet the needs and goals of the company and its customers/users.
• Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.
• Test the quality of a product and its ability to perform a task or solve a problem.
• Perform basic maintenance and performance optimization procedures in each of the primary operating systems.
• Ability to document detailed technical system specifications based on business system requirements
• Ensures system implementation compliance with global & local regulatory and security standards (i.e. , HIPAA, SOCII, ISO27001, etc.)

Department/Project Description

The Digital Health organization is a technology team that focuses 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.

Authorization and Authentication platform & services for Digital Health

Secure cloud platform for storing and managing medical images (DICOM compliant). Leverages AWS for cost-effective storage and access, integrates with existing systems (EHR, PACS), and offers a customizable user interface.

Job Description

Requirements

• 4+ years of professional experience in a related field
• Demonstrable proficiency in C/C++, ideally for audio or video digital signal processing
• Familiarity with:
  - Rust programming language
  - Scrum, Kanban, or lean software development principles
  - continuous integration and continuous deployment (CI/CD) infrastructure

Nice to have

• Knowledge and understanding of Digital Signal Processing algorithms
• Experience with Python programming language

Job Responsibilities

• Port existing technology to Rust, ensuring identical behavior with the original implementation
• Implement new features or adapt existing to new MPEG and ISO standards requirements
• Perform code reviews and design reviews with the team
• Cover code with unit tests
• Work as part of a cross-functional scrum team

Department/Project Description

Our client is a leader in audio noise reduction, compression, encoding, and HDR imaging. Its technologies can be seen in various consumer electronics products. The client has an advanced audio compression technology currently implemented in C as the primary programming language. You will port this technology to the LLVM-based Rust programming language. Your experience will bring modern security and stability requirements to the technology.

Department/Project Description:

A unified, AI-driven market intelligence platform that aggregates internal and external data to deliver real‑time insights across strategic, segment, account, and BU levels, seamlessly interfacing with existing systems to support decision-making.

Job Description:

We are seeking a Senior Engineering Manager to lead the engineering execution and technical governance of the AI-driven market intelligence platform — a unified data and analytics environment that integrates internal and external data sources to deliver actionable insights across strategic, segment, and business unit levels.

The ideal candidate is a senior technical leader with proven experience in managing cross-functional engineering teams (backend, frontend, data, DevOps, and ML), driving platform-level architecture decisions, and ensuring technical alignment across multiple stakeholders (including vendors, partners).

This role combines technical leadership, delivery management, and business alignment — balancing strategic direction, engineering excellence, and predictable delivery in a highly dynamic multi-vendor environment.

Required Skills and Qualifications:

• 10+ years of professional experience in software engineering, including 5+ years in technical or delivery management roles.
• Experience working within the outsourcing companies is a must
• Must have: Proven experience managing large-scale AI / Data / Cloud platform programs involving multiple cross-functional teams.
• Proven experience working with AI platforms/products. 
• Strong understanding of modern SDLC methodologies (Agile, CI/CD, DevSecOps) and distributed system design principles.
• Hands-on experience with AWS cloud architecture, containerization (ECS/Fargate, EKS, Lambda), and API gateway-based microservice ecosystems.
• Demonstrated experience in multi-vendor program governance, including delivery coordination, RACI ownership, and risk management.
• Deep understanding of data pipelines, ingestion frameworks, and AI/ML integration concepts.
• Excellent communication and stakeholder management skills; able to interface effectively with both engineering and executive audiences.
• Strong analytical, problem-solving, and conflict-resolution abilities in complex delivery environments.

Preferred Qualifications:

• Background in Market Intelligence, Data Analytics, or AI-driven platforms
• Familiarity with AWS Bedrock, or enterprise data ecosystems.
• Experience in cross-organization alignment (client–vendor–partner triangle).
• PMP, CSM, or SAFe certifications are a plus.
• Experience in managing globally distributed teams.

Job Responsibilities:

• Project Leadership & Delivery Excellence: Drive the execution of the product roadmap, ensuring timely and high-quality delivery across multiple workstreams (data ingestion, backend, frontend, ML integration, UX). Establish strong coordination with Product, Architecture, and DevOps leads.
• Technical Governance: Define and maintain engineering standards, architecture guidelines, and code quality practices. Collaborate with architects to ensure scalability, security, and compliance with policies and guardrails.
• Cross-Team Alignment: Manage dependencies across internal and external teams. Lead coordination of milestones, risks, and change management to maintain synchronization across all partners.
• Stakeholder Management: Serve as a senior engineering counterpart for client stakeholders, ensuring transparency, accountability, and clear communication on progress, blockers, and technical decisions.
• Resource & Capacity Planning: Own capacity planning and workload distribution across engineering domains. Anticipate resource constraints, propose mitigation plans, and support staffing decisions.
• Quality & Risk Management: Monitor engineering performance through metrics and KPIs. Identify risks early, ensure mitigation steps are tracked, and maintain quality assurance across all deliverables.
• Innovation & Continuous Improvement: Promote automation, reusable components, and AI-assisted engineering practices. Encourage continuous improvement through lessons learned and engineering retrospectives.
• Team Leadership & Mentorship: Build and nurture a strong engineering culture. Provide mentorship to technical leads and senior engineers, fostering growth, ownership, and accountability.

Description

Our client is an innovative manufacturer of medical devices in the United States, producing devices and software applications.

In this project, you will have a great opportunity to be involved in the full development life cycle of medical software, which is designed to assist individuals by processing information from medical devices to identify health trends and track daily activities. In addition, there are opportunities to work with medical devices, in the scope of end-to-end testing.

Requirements

Languages:
· Proficiency in Python (or Go). Shell scripting and Terraform familiarity are a plus.

Cloud & Infrastructure:
· Hands-on experience with AWS (IAM, SQS, RDS, Redis/ElastiCache, S3, SNS, Lambda, VPC).
· Experience validating infrastructure via Terraform or Terratest.
· Kubernetes fluency (namespaces, Helm, ConfigMaps, RBAC, Services, Pods, HPA).

Testing & Validation:
· Experience designing black-box/gray-box tests for infrastructure and configuration correctness.
· Familiar with GitOps or Infrastructure-as-Code testing practices.

Observability:
· Proficient with New Relic, OpenTelemetry, or similar platforms to track real-time application and resource performance.

Performance Testing:
· Experience designing and analyzing results from performance and load testing frameworks.

Nice to have:
· Experience with service meshes (Istio, Linkerd) or sidecar observability.
· Familiarity with GitLab pipelines, Argo CD, and Helmfile/Helm charts.
· Background in SRE or DevSecOps practices.
· Experience with Cilium and eBPF observability, (layer 3, 4, and 7)

Job responsibilities

 – Perform testing on software systems without user interfaces, focusing on API testing.
 – Develop, execute, and maintain automated test scripts to ensure software quality and reliability.
 – Write and maintain code. 
 – Utilize Python for scripting and automation tasks.
 – Use Selenium WebDriver for web application testing.
 – Implement performance testing using Jmeter.
 – Apply solid QA practices including black box testing, risk-based testing, system testing, regression testing, and exploratory testing to identify and resolve issues.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.