GlobalLogic

Description

Our client is the world’s #1 web data platform. Fortune 500 companies, academic institutions, and small businesses all rely on our solutions to retrieve crucial public web data in the most efficient, reliable, and flexible way, so they can research, monitor, analyze data, and make better decisions.

Requirements

• Basic knowledge of OOP and Functional programming;
• Good knowledge of JavaScript (ES6/7/8) and working with the browser DOM (searching elements, iterating, getting content);
• A basic understanding of Web scraping is a must;
• Web scraping experience in JS or Python would be a plus;
• Basic knowledge of Git;
• Intermediate English, including written and verbal communication skills;
• Ability to learn quickly and grow in the technical area;
• Analytical mind and problem-solving aptitude.

Job responsibilities

• Participate in various activities as required for project success: discussing approaches, possible technology solutions, investigations, and development;
• Adding new functionality to existing systems, while constantly improving usability, quality, and performance;
• Contribute to project deliverables, mood, and success.

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.

Requirements:

• Databricks Expertise: Minimum of 3+ years of proven, previous Databricks administration experience in a complex, multi-tenant enterprise environment.
• Advanced Terraform: Strong Terraform skills. You must have hands-on experience building and maintaining reusable modules specifically utilizing the Databricks Terraform Provider.
• Strong understanding of cloud-native IaC (Infrastructure as Code) like Terraform for automating instance provisioning
• Cloud IAM Mastery: Deep, practical knowledge of Cloud Identity and Access Management (IAM), including writing secure IAM policies, managing roles, cross-account access, and secrets management.
• Robust cloud networking experience
• Scripting: Proficiency in Bash

Job responsibilities:

• Environment Ownership: Own the technical implementation of all Databricks environment configuration changes across multi-workspace environments.
• Platform Lifecycle: Manage Databricks runtimes, cluster policies, and coordinate seamless platform upgrades.
• Infrastructure as Code (IaC): Utilize strong Terraform skills to programmatically provision, update, and manage all Databricks resources (workspaces, clusters, tokens, policies) and cloud infrastructure, eliminating manual configurations.
• Cloud Security & Identity (IAM): Architect and enforce secure access models. Manage Cloud Identity and Access Management (IAM) integrations for users, groups, and service principals.
• Secure Cloud Networking: Design, implement, and maintain secure cloud networking architectures for Databricks.
• Cost Optimization: Actively review current environment setups—including cluster configurations, instance types, and data storage parameters—to identify and execute cost-optimization opportunities.
• Efficiency Strategies: Provide expert input on automation, auto-scaling, and monitoring strategies to drastically reduce ongoing compute and storage costs.

Our client is leading supplier of sports analytics to its clients. Using cutting edge Computer Vision and AI/ML technologies, the company provides outstanding real-time sports performance analysis. As an analyst you will be responsible for providing quality statistics for ice hockey games using client’s proprietory tools.

Requirements:

• Confident PC user (Windows)
• Basic English
• Extensive internet research skills
• Creative problem-solving and analysis skills
• Team player with good interpersonal and solution-oriented attitude
• Readiness to work in shifts (mandatory)
• Stress-resistance
• Ice Hockey knowledge is very beneficial, actual hockey playing skills are not required
• Video gaming experience also useful

Job responsibilities:

• Analyze ice-hockey games and record key events as they occur such as successful pass, penetration of offensive zone, faceoff win, etc. (40+ total event types)
• Check the quality of content and do an analysis of quality data
• Work on various data tools and generate information by doing online research
• Provide inputs/content with high quality
• Ability to identify and verify source authenticity
• Solve complex problems in time-bound and effective manner
• Ability to analyze data by doing secondary research

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

Description

Partner is one of the leaders in design, development and manufacturing data communications equipment for the industrial Internet of Things — connecting physical assets to business processes to deliver enhanced value.

Developting cloud-based platform hosted on Azure using .NET tech stack. The platform interacts with different corporate services in order to support business processes across company in manufacturing, engineering, sales, shipping, etc.

Requirements

Primary Skills:

5+ years of professional software engineering experience, ideally with a background in Industrial IoT.

Mandatory experience using AI-assisted coworker tools (Claude preferred) to write, debug, and optimize backend operational logic.
Deep expertise in operating systems, specifically Linux (Ubuntu), SSH, Bash, and terminal-based administration.
Strong experience with containerization and orchestration using Docker, alongside modern CI/CD practices.
Proficiency in building event-driven architectures and utilizing messaging systems.
Framework: Deep expertise in the .NET 8+ Framework, specifically for building Web APIs.
Data Access: Proficiency with Entity Framework for ORM.
API Documentation: Experience using Swashbuckle to generate and maintain Swagger documentation.

Preferred, Not Required Skills
Version Control: Proficiency with Git and GitLab.
Collaboration: Experience working with Jira and Confluence.

Job responsibilities

Build and enhance scalable backend services and APIs for onboarding, configuration management, authentication, and administration.
Develop mechanisms for secure deployment, software distribution, and lifecycle management across distributed environments.
Develop reliable command execution and orchestration workflows for managing remote systems and services
Design event-driven architectures and automation frameworks that support large-scale operations.
Collaborate with cross-functional teams to improve reliability, observability, and operational efficiency.
Implement and maintain CI/CD pipelines and infrastructure automation to accelerate software delivery.

Job Description

• Strong hands-on expertise in configuring and managing Amazon Connect environments
• Experience migrating legacy telephony workflows (specifically ServiceNow) to AWS/Amazon Connect
• Ability to collaborate effectively with Java development teams on backend integrations

Job Responsibilities

• Configure and deploy Amazon Connect workflows, specifically including call routing and roll-over capabilities
• Replicate the clinical escalation routing where an in-home provider calls a Service Coordinator (SC), with the option to roll the call over to the Nurse command center.
• Collaborate closely with the existing team handling the Java-based backend development to integrate the telephony configuration.

Department/Project Description

Goal: Replicate and migrate a critical provider escalation telephony workflow from ServiceNow to Amazon Connect

Job Description

• Expertise in IP network switching and routing protocols, TCP/IP stack is highly desirable;
• Hands-on experience with Linux;
• English level – intermediate and above;

Would be a plus:

• Superior problem solving, analytical and communications skills;
• A strong understanding of IP protocols and telecommunication/cable operator networks;
• Experience in a technical support organization in a broadcast, communication, satellite, cable, telco or a similar domain;
• Experience with bash/python scripting;
• Experience with Jira, Confluence;
• Ability to work on flexible hours.

This position requires not frequently travel (once per quartal approximately).

Job Responsibilities

• Responsible for integration and support in assigned product areas to Harmonic’s regional customer support engineers and, when necessary, customers who are diagnosing, troubleshooting, repairing and debugging complex system problems involving Harmonic and associated equipment;
• Report and track design, reliability and maintenance problems or bugs to R&D engineering groups;
• Assist, and implement both hardware and software upgrades to the existing Harmonic customer base.

Department/Project Description

Harmonic is a leading provider of innovative broadband solutions that deliver video, voice, and data to communications providers around the world. GL team participates in the development, QA, and support of several generations of such solutions.

Skill Category

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

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.

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

    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

Description

We are looking for a Trainee Integration Engineer who will join our team and grow into an Integration Engineer specializing in Boomi, eCommerce integrations, and AI-powered solutions.

You will have an opportunity to learn Boomi, Shopify, REST APIs, webhooks, data transformation, integration patterns, and AI/LLM technologies, while working on a practical end-to-end demo rather than isolated training tasks. You will also use AI tools such as Claude to accelerate development and explore how AI can be embedded directly into integration and eCommerce scenarios.

Requirements

Basic understanding of programming concepts
Understanding of REST APIs and HTTP
Basic knowledge of JSON
Basic SQL knowledge
Familiarity with Git
Analytical and problem-solving mindset
Interest in AI and emerging technologies
Willingness to learn new technologies and experiment with new tools
Good English communication skills
Ability to work independently on small tasks and ask questions when needed

Nice to have

Experience with Java, JavaScript, C#, Python, or another programming language
Experience working with REST APIs
Basic understanding of Generative AI / LLMs
Experience with AI tools such as Claude, ChatGPT, GitHub Copilot, or similar
Basic understanding of cloud platforms
Familiarity with Shopify or another eCommerce platform
Understanding of webhooks
Any experience with integration platforms such as Boomi, MuleSoft, Workato, Zapier, or similar
Basic understanding of CI/CD

Job responsibilities

Learn the fundamentals of Boomi, AI-powered integrations, and integration architecture
Build and maintain integration flows in Boomi
Integrate Shopify with external systems using APIs and webhooks
Work with JSON/XML and transform data between different systems
Implement simple business scenarios and AI-powered use cases
Use AI tools such as Claude to accelerate development, troubleshooting, testing, and documentation
Explore and integrate AI/LLM capabilities into eCommerce and integration scenarios
Investigate integration failures and troubleshoot API/integration issues
Prepare technical documentation for implemented integrations
Collaborate with experienced engineers and the project/solution team
Gradually take ownership of individual integration components and contribute to the client-facing demo / PoC

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

Description

We are looking for a Trainee Integration Engineer who will join our team and grow into an Integration Engineer specializing in Boomi, eCommerce integrations, and AI-powered solutions.

You will have an opportunity to learn Boomi, Shopify, REST APIs, webhooks, data transformation, integration patterns, and AI/LLM technologies, while working on a practical end-to-end demo rather than isolated training tasks. You will also use AI tools such as Claude to accelerate development and explore how AI can be embedded directly into integration and eCommerce scenarios.

Requirements

Basic understanding of programming concepts
Understanding of REST APIs and HTTP
Basic knowledge of JSON
Basic SQL knowledge
Familiarity with Git
Analytical and problem-solving mindset
Interest in AI and emerging technologies
Willingness to learn new technologies and experiment with new tools
Good English communication skills
Ability to work independently on small tasks and ask questions when needed

Nice to have

Experience with Java, JavaScript, C#, Python, or another programming language
Experience working with REST APIs
Basic understanding of Generative AI / LLMs
Experience with AI tools such as Claude, ChatGPT, GitHub Copilot, or similar
Basic understanding of cloud platforms
Familiarity with Shopify or another eCommerce platform
Understanding of webhooks
Any experience with integration platforms such as Boomi, MuleSoft, Workato, Zapier, or similar
Basic understanding of CI/CD

Job responsibilities

Learn the fundamentals of Boomi, AI-powered integrations, and integration architecture
Build and maintain integration flows in Boomi
Integrate Shopify with external systems using APIs and webhooks
Work with JSON/XML and transform data between different systems
Implement simple business scenarios and AI-powered use cases
Use AI tools such as Claude to accelerate development, troubleshooting, testing, and documentation
Explore and integrate AI/LLM capabilities into eCommerce and integration scenarios
Investigate integration failures and troubleshoot API/integration issues
Prepare technical documentation for implemented integrations
Collaborate with experienced engineers and the project/solution team
Gradually take ownership of individual integration components and contribute to the client-facing demo / PoC

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.