GlobalLogic

If you are tired of patching up legacy code and want to build something from the ground up, this might be for you.

We are looking for an Embedded Architect to spearhead a complete technological shift. We are sunsetting our Embedded Linux setup and migrating the entire ecosystem to NXP microcontrollers running Zephyr OS. You will be working on this project in close collaboration with our client, a global leader in the home appliance industry.

This is a pure greenfield opportunity where you will write the new architectural blueprint, rewrite the core code from scratch, and strategically guide the porting process. It’s an ideal playground for someone who wants full technical ownership and knows how to push Zephyr to its limits.
 

Requirements
 

• Proven experience as a Software Architect.
• Full lifecycle experience: from Start of Development (SoD) to Start of Production (SoP), including familiarity with production-related topics.
• Strong knowledge of the arc42 framework.
• Expert knowledge of RTOS-based development (preferably Zephyr).
• C++ programming skills and experience in embedded software development.
• Deep embedded software know-how, including hands-on experience or solid understanding of the NXP RW610 wireless MCU.
• Practical experience using AI tools/technologies.
• Experience in connectivity and UI development.
• Expert skills in writing requirements and architectural documentation.
• Basic knowledge of security and encryption.
• iSAQB-F certification and one or more advanced training courses (ARCEVAL, SOFT, or IMPROVE) would be an advantage.
• Good command of English.
• Strong communication and collaboration skills.
   

Job responsibilities
 

• Architect robust and scalable software solutions for embedded systems within the LaundryCare domain
• Design and define the software architecture for M3uC (Microcontroller Unit)-based systems, ensuring modularity and maintainability.
• Develop comprehensive architecture documentation, including design specifications, interface definitions, and technical guidelines.
• Drive the implementation of core software components using C++ in an RTOS environment.
• Ensure adherence to architectural standards and quality gates throughout the software development lifecycle.
• Optimize software performance and resource utilization within embedded constraints.
• Conduct architectural reviews and provide constructive feedback to ensure design integrity and alignment with strategic goals.
• Troubleshoot and resolve complex technical issues related to software architecture and embedded system integration.

Description

About Project:

Comprised of the Company’s international business units and various direct-to-consumer streaming services, Media & Entertainment Distribution department aligns technology, media distribution and advertising sales into a single business segment to create and deliver personalized entertainment experiences to consumers around the world. 

GL team will be concentrated on building AdTech platform for our customer.

About Company:

Leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. 

Requirements:

• Readiness to work till 12 AM Kyiv time, 11 PM Poland time
• 4+ years of developing and bolstering automated QA systems and associated test strategies;
• Experience working with business-critical customer-facing applications (user interfaces, APIs, and back-end services);
• Excellent communication skills with emphasis on writing detail-oriented documents and communications;
• Strong understanding of object-oriented programming concepts;
• Strong understanding of web UI and services automation testing;
• Strong experience with Python, BDD (behave);
• Knowledge in AWS, CI/CD;
• Experience with AQA reporting tools;
• Strong experience with web application testing tools (Selenium), API testing;
• Deal well with ambiguous/undefined problems. Ability to think abstractly. 
• A proactive approach to tasks.
   

Job responsibilities

• Responsible for designing and implementing build and test infrastructure, creating and enforcing. good engineering practices, and evaluating product quality for various external and/or internal products.
• Conduct research and create Proof of Concepts on new testing technologies/tools/concepts.
• Collecting TA metrics, statistics and reports.
• Design test strategies by analyzing and dissecting complex heavily integrated software systems.
• Develop and contribute to the automated testing efforts for the QA team.
• Design and build scalable, maintainable, and flexible automation test framework.
• Investigate the root cause of issues to assist with finding the most comprehensive and robust solutions.
• Collaborate closely with product, project, and development teams to identify and resolve technical, business, and process-related issues.

One of the biggest SportTech company infrastructure powers millions of live sports events worldwide – from raw video capture at remote venues to real-time stream delivery and ML-driven monetization. As a DevOps & Platform Engineer, you will be a core contributor to the reliability, scalability, and
operational excellence of our cloud platform.
You’ll work inside a self-service, pod-based engineering model where your job is to build the platforms, pipelines, and guardrails that let product teams ship independently – at high velocity and with full operational ownership. This is a high-autonomy, high-impact individual contributor role with a clear technical growth path.

Why you’ll working here:
• Real Impact: your decisions affect millions of fans, coaches, and venues globally.
• Unique challenges at scale: real-time video, K8S and CDN optimizations, from HW to SW.
• Ownership & Growth: high autonomy, influence platform strategy, clear path to leadership.
• AI-First Culture: cutting-edge AI tools, define how Pixellot leverages AI across engineering.

Join the Team!
If you’re passionate about Kubernetes, cloud infrastructure, and platform engineering – and want to buildself-service systems in a high-scale, 100% hands-on environment – we’d love to hear from you.
 

Requirements:

• 3–6 years in infrastructure, DevOps, or platform engineering roles
• Production-grade Kubernetes experience: EKS/GKE, GitOps (ArgoCD/Flux), service mesh, multi-tenant cluster operations, resource management
• Deep hands-on GitOps and CI/CD: ArgoCD or Flux, kustomize/Helm, rollout strategies, deployment safety, change ownership, audit trails
• AWS platform depth: EC2, EKS, S3, CloudFront, IAM/IRSA, VPC networking, RDS, cost optimization levers
• Platform engineering orientation – you think in platforms and self-service, not one-off scripts or manual runbooks
• AI-first approach – actively uses AI tools to accelerate development and operations; not just aware of them, but fluent
• Ownership mentality – own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact 2
• People leadership skills – You’ve hired, mentored, and grown engineers; conducted performance reviews; and built high-trust, high-performing teams
• Ownership & Communication – own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact

Bonus points if you have:
• GCP experience (GKE, GCS, Cloud Run) or hybrid multi-cloud operations
• Video streaming infrastructure: HLS, RTMP, CDN optimization, live video pipelines
• FinOps / cost optimization: cost attribution, right-sizing, storage lifecycle policies
• Development background (Python, Go, Node.js, or similar) 

Job responsibilities:

• Build and maintain GitOps-based delivery pipelines (ArgoCD) so product pods deploy safely without DevOps intervention
• Design and evolve self-service tooling – golden paths, deployment templates, scaffolding – that reduce pod dependency on the platform team
• Implement deployment safety guardrails: config diffing, change ownership, rollout strategies, and audit trails
• Leverage AI to accelerate development and delivery – leverage industry leading tools and our company’s agentic concepts to speed up development and operational workflows

Department/Project Description

GlobalLogic takes an opportunity to partner with a leading global threat intelligence platform to design and deliver an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform. The initiative centers on accelerating expert analyst decision-making by augmenting high-complexity threat intelligence workflows with cutting-edge generative and agentic AI systems.


Job Description

Essential qualifications

• MSc or PhD in NLP, information retrieval or machine learning with publications, or equivalent industry research experience.
• 5+ years of applied ML, with models in production use.
• Deep experience fine-tuning transformer encoders with PyTorch and Hugging Face.
• Multi-label and imbalanced classification, probability calibration and threshold optimization.
• Learning from user feedback: learning-to-rank, active learning, bandit/exploration methods or counterfactual evaluation.
• Rigorous experiment design and statistical analysis.

Desirable qualifications

• ModernBERT or other long-context encoder models.
• Multi-stage ranking or recommender systems.
• LLM post-training (SFT, LoRA, DPO), reward or judge models, and reranker or embedding fine-tuning.
• Vertex AI Training and Pipelines.
• Experience in security, threat intelligence or fraud.

Job Responsibilities

Key responsibilities

• Fine-tune, evaluate and calibrate ModernBERT for multi-label alert classification and high-recall shortlisting.
• Design the two-stage triage cascade: model thresholds, the hand-off to the LLM, and how each stage is measured.
• Convert analyst feedback into training data through label cleaning, active learning and defined retraining criteria.
• Correct for selection bias through exploration sampling of rejected alerts and counterfactual evaluation.
• Design the dynamic few-shot strategy:
  how decision points are represented
  how examples are selected
  how conflicting or stale human decisions are handled.
• Define the feedback and reward schema with the Lead Agent Engineer.
• Set offline and online evaluation, and review retrained models before production promotion.

GlobalLogic takes an opportunity to partner with a leading global threat intelligence platform to design and deliver an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform. The initiative centers on accelerating expert analyst decision-making by augmenting high-complexity threat intelligence workflows with cutting-edge generative and agentic AI systems.


ONLY FOR CANDIDATES LOCATED IN POLAND, ROMANIA, OR UKRAINE


Job Description

Essential qualifications

• 7+ years of software engineering, including 2+ years building LLM applications in production.
• Production agent systems built with LangGraph, Google ADK / Vertex AI Agent Engine or custom orchestration.
• Hands-on MCP experience, especially the client side: tool routing, authentication and transports (HTTP/SSE).
• Expert asynchronous Python and strong distributed-system design.
• Has taken agents from prototype to production and measured their quality with real users.

Desirable qualifications

• A deep-research or multi-step retrieval agent built and shipped.
• A2A protocol, OpenTelemetry tracing for LLM systems, and GCP (Cloud Run, Pub/Sub, BigQuery).
• Previous technical lead of a team of 4–8 engineers.

Job Responsibilities

Key responsibilities

• Design and build the Shared Foundation:
  agent runtime and orchestration
  MCP client and tool layer
  state and memory
  tracing
  evaluation hooks.
• Instrument every agent decision point (situation, options, choice and later human reward) as the basis for feedback learning.
• Build the deep research agents: planning, iterative search across internal and external sources, synthesis, citation grounding and context management.
• Set engineering standards, lead code review and mentor the team.
• Work with the Solution Architect on security, multi-tenancy and enterprise integration.

Job Description
Implement the platform capabilities that enable disparate data sources to be combined, virtualized, standardized, and exposed through a consistent access model without requiring extensive physical consolidation.

Experience with technologies and platforms such as

• Microsoft Fabric, OneLake, Synapse, Azure Data Lake, Purview
• BigQuery, BigLake, Dataplex
• Athena, Redshift Spectrum, Lake Formation, Glue
• Data virtualization, federated query, semantic layer, or data fabric platforms
• Strong Python

Job Responsibilities

• Implementing data virtualization and federation capabilities
• Building federated query services
• Developing semantic and abstraction layers
• Creating reusable APIs and access services
• Performance tuning, scalability, reliability, and operational support
• Contributing to platform design and technology decisions through hands-on expertise

Department/Project Description
Build the core data engineering capability that enables WPP Open applications, AI agents, analytics products, and business workflows to securely discover, access, combine, govern, and activate data across enterprise systems, client environments, media platforms, and third-party providers.

We are seeking four senior engineering specialists who will be responsible for implementation and delivery of key platform capabilities. While architecture leadership is provided by the platform architecture team, these hires are expected to bring deep expertise, contribute to solution design, challenge assumptions, and guide implementation decisions based on industry experience.

Build the core data engineering capability that enables WPP Open applications, AI agents, analytics products, and business workflows to securely discover, access, combine, govern, and activate data across enterprise systems, client environments, media platforms, and third-party providers.

We are seeking four senior engineering specialists who will be responsible for implementation and delivery of key platform capabilities. While architecture leadership is provided by the platform architecture team, these hires are expected to bring deep expertise, contribute to solution design, challenge assumptions, and guide implementation decisions based on industry experience.

Requirements

Implement the capabilities required to acquire, standardize, harmonize, and operationalize external marketing, media, commerce, and third-party datasets at scale. 

• Strong experience with SQL, Python, and cloud-based platforms like AWS, GCP, or Azure.
• Solid understanding of data modelling, pipelines and orchestration tools (Airflow, dbt, or similar).
• Familiarity with modern data ecosystems — e.g. Spark, Databricks, Snowflake, BigQuery or Redshift.
• Experience working with CI/CD, version control and testing best practices.
• A proactive approach to solving problems and improving systems.
• Excellent communication skills — you can translate technical concepts into language anyone can understand.
• A passion for data and how it can drive better decisions in media, marketing and beyond.

Experience with technologies and platforms such as

• Adverity, Fivetran, Airbyte
• Google Ads, DV360, Campaign Manager 360, Search Ads 360
• Meta, TikTok, Amazon Advertising, LinkedIn, Pinterest, Trade Desk
• Marketing, advertising, commerce, audience, or measurement data ecosystems

Job responsibilities

• Building and maintaining external data integrations
• Implementing reusable ingestion frameworks
• Standardizing and harmonizing media and marketing datasets
• Integrating third-party and client-owned data sources
• Supporting real-time and batch data acquisition patterns
• Providing expert input into data acquisition and onboarding approaches

Description

We are looking for a 3D Technical Artist / Industrial Motion Designer to create technical 3D animations intended for integration into diagnostic, maintenance, or operator assistance software. Based on CAD data, photographs, bills of materials (BOMs), and instructions provided by our technical teams, the contractor will be responsible for designing animated sequences illustrating inspection, measurement, assembly, disassembly, and troubleshooting procedures on mechatronic equipment. The animations must clearly identify components, connectors, test points, tools, and the technical actions to be performed.

Requirements

The candidate must demonstrate proven experience in several of the following areas:

• Creating 3D animations from CAD models provided by engineering departments.
• Producing animated technical procedures for maintenance, troubleshooting, assembly, or inspection.
• Accurately representing mechanical, electronic, or mechatronic components.
• Illustrating the use of tools, measurement instruments, and technical operations.
• Collaborating with mechanical engineering, electronics, manufacturing engineering, after-sales service,
  or technical documentation teams.
• Translating technical instructions into clear, accurate, and visually effective animated sequences.
• Integrating visual markers, connectors, measurement points, photographs, and safety instructions.
• Producing content intended for integration into professional software applications.

Experience in the automotive, aerospace, railway, special-purpose machinery, industrial electronics, or maintenance equipment sectors would be particularly valued.

The candidate must be able to independently process and optimize CAD data while effectively collaborating with subject matter experts to identify missing information and ensure the technical accuracy of the procedures being illustrated.
Particular attention will be paid to the quality of the candidate’s portfolio. It must include relevant examples of comparable work and demonstrate the clarity, technical accuracy, and practical usability of the animations. 

Job responsibilities

• Analyze the provided input data and assess its suitability for animation production.
• Propose storyboards or animatics.
• Prepare and optimize CAD models for animation.
• Create camera movements and technical animations.
• Design and integrate graphical overlays, labels, and visual indicators.
• Incorporate real photographs where appropriate.
• Produce an initial version for review and validation by subject matter experts.
• Implement feedback and required corrections.
• Deliver final videos and editable source files.

Description

Our client is an innovative manufacturer of medical devices in the United States, producing integrated device hardware, firmware, web, and mobile software applications. In this project, you will be involved in the full development life cycle of medical software intended to help individuals by processing device data to track health trends and daily activities.

Requirements

As a Senior System Engineer within the Company Research & Systems Engineering team, you will have the opportunity to work on a diverse set of technical projects spanning SaaS, Web technologies, Mobile technologies, and Firmware in the context of addressing unmet clinical needs. You will work with a talented team to develop a deep understanding of our end-to-end systems, participating in architecture and design creation, and driving the execution of software projects throughout their development life cycle.

Job responsibilities

Job Responsibilities
– Work with engineering and cross-functional stakeholders to research, define, and write technical requirements for software components and systems.
– Participate in system architecture and software design creation.
– Plan and perform design history file (DHF) updates, facilitate V&V, and support integration testing with the Software QA team.
– Define and implement cybersecurity best practices across software and connected systems.
– Participate in risk management and hazards analysis activities.
– Rapidly prototype software and write scripts for research and development needs.

Required Qualifications
– 5+ years of system/software engineering experience in Healthcare, Medical Device, or another Regulated software industry.
– Proven experience working on projects utilizing Scrum and Agile methodologies.
– Hands-on software development experience in one or more languages (Python, Java, C#, or C/C++) alongside experience with Web technologies and Firmware.
– Proficiency in UML, database design (SQL & NoSQL), and modern software development methodologies.
– Cybersecurity: Strong understanding and application of cybersecurity principles in medical or regulated environments.
– Integration Testing: Good understanding of integration testing strategies for complex multi-component systems.
– Experience developing technical product and software requirements.
– Experience with failure mode analysis (dFMEA, uFMEA), risk management, human factors, and usability engineering processes (UI/UX).
– Proficiency in Linux/Unix/Windows environments.
– BA/BS in science or technical field; Advanced engineering degree desired.

Preferred Qualifications
– AWS and other Cloud technologies experience is a huge advantage.
– Experience leading small to medium-sized projects is an advantage.
– Experience with FDA 21 CFR Part 820 and IEC standards (62304, 14971, and 62366).

Job Description

• 4+ years coding experience in Python along with experience in scripting languages.
• 4+ years of hands-on experience in software QA and test automation.

  Experience with RDBMS (MySQL, PostgreSQL), native SQL

• Experience with API testing (API smoke, regression, and end-to-end tests, including behavior-driven frameworks (Gherkin/ Cucumber/ behave or similar) and structured payload/ response validations (JSONPath, XML/ schema validation))
• Experience with backend testing (Solid understanding of backend and service testing, with a focus on performance, scalability, and security)
• Experience working with and configuring CI/CD (e.g., GitHub Actions, Jenkins)
• Experience with Kafka, Kinesis or similar streaming systems

  Experience with Linux.

• Shifted working hours 12pm till 8pm EEST timezone
  
  
  Nice to Have:
• Experience with agentic software development.
• Experience with Ad-serving protocols (VAST/VMAP, OpenRTB) or willingness to ramp quickly — most test scenarios validate VAST XML and OpenRTB bid/response structures directly)
• Hands-on experience with AWS services for deploying, testing, and monitoring applications in cloud environments.
• Exposure to browser-based UI test automation (Playwright, Cypress, or similar)
• Comfortable reading server-side code (Java or similar) to support root-cause analysis, even when not authoring in that language.

Job Responsibilities

• Be responsible for designing and implementing build and test infrastructure, creating and enforcing good engineering practices, and evaluating product quality for various external and/or internal products
• Work on problems in a number of areas, including application performance.
• Build out our automated testing infrastructure to help us build reliable, scalable, high-quality products and services
• Participate in design and implementation of test infrastructure to support building and moving services into a Continuous Deployment environment
• Conduct research and create Proof of Concepts on new testing technologies/tools/concepts
• Design test strategies by analyzing and dissecting complex heavily integrated software systems
• Work collaboratively with fellow SDETs and developers to design, build and maintain a scalable, maintainable and flexible automation test framework
• Investigate root cause of issues to assist with finding the most comprehensive and robust solutions
• Collaborate closely with product, project and development teams to identify and resolve technical, business, and process related issues

Department/Project Description

Team works on a globally distributed ad serving system that handles hundreds of billions of requests a day. You have the opportunity to take on project initiatives to improve the confidence, stability and delivery of our systems, tackle hard technical challenges, and contribute to a team of passionate individuals.

Founded in 2007, Magnite’s pioneering technology created a new model for the advertising industry. Today, our automated advertising platform is used by the world’s leading publishers and applications to transact with top brands around the globe enabling them to reach more than 1 billion consumers. Magnite operates the largest independent Display Advertising Exchange and Supply Side Platform that automates the buying and selling of Display Advertising across all formats (banner, video) on all devices (desktop browsers, mobile devices, billboards). Magnite auctions over 20 Billion Ads on a daily basis in real time in less than 1/2 of a second each. Magnite is a publicly traded company (NYSE: RUBI) headquartered in Los Angeles, California, USA.

Job Description

• At least 3 years of commercial experience in Quality Assurance;
• Strong understanding of QA theory, SDLC concepts, and testing methodologies;
• Hands-on experience in mobile testing (Android required; iOS is a plus);
• Good understanding of Android platform specifics, mobile UI/UX guidelines, and device fragmentation;
• Experience with Web testing and understanding of web standards is a strong plus;
• Proven experience in test strategy definition, test planning, test case design, and test execution;
• Experience using Bug Tracking and Test Case Management systems (e.g. Xray, Zephyr, Jira or similar);
• Solid experience in Functional, Regression, and End-to-End testing;
• Familiarity with REST API testing (Postman or similar tools) is a plus;
• Experience in Healthcare or other regulated domains is a strong plus;
• Experience working in Agile/Scrum environments;
• Active user of GenAI in daily development workflows;
• Flexible and adaptable to changing priorities and requirements;
• Strong communication skills with at least Upper-Intermediate English level (spoken and written).

Job Responsibilities

• Perform manual testing of Android mobile applications, ensuring high quality and usability;
• Participate in test planning, test case creation, and test execution for mobile and web features;
• Validate application behavior across different Android versions and devices;
• Execute regression and end-to-end testing to ensure system stability;
• Report, track, and verify defects using bug tracking systems;
• Collaborate closely with Android developers, product managers, and designers to clarify requirements and resolve issues;
• Contribute to improving QA processes and testing practices within the team.

Department/Project Description

We are redefining the standard of care in mental health. Our platform empowers clinicians by automating administrative burdens—such as note-taking and compliance auditing—using cutting-edge AI and real-time audio analysis. By bridging the gap between clinical sessions and actionable data, we allow providers to focus on what matters most: the patient.

Description

We are seeking a Senior Software Engineer to join our Fleet Migration Team. The team develops software tools that automate customer VM movement across data center clusters without service disruption. You will write the automation services and coordination scripts that power our large-scale transition to ARM hardware.

Requirements

Education & experience: Bachelor of Science in Computer Science, Systems Engineering, or a related field, plus heavy experience in systems automation and backend tool development.
Programming Languages: High proficiency in Python and Go, along with Bash scripting.
Virtualization & OS: Good understanding of Linux hypervisors, VM storage snapshots, and state transfer mechanisms.
API & Systems: Experience building CLI tools, REST APIs, and database-backed workflow engines.

Job responsibilities

Build and maintain backend services and CLI scripts to automate customer-driven warm/cold VM migrations.
Implement state tracking, validation checks, and rollback logic for automated migration jobs.
Integrate migration automation with central database state stores and orchestration APIs.
Troubleshoot migration failures and performance bottlenecks during operational test runs.

Description

Step into a mission-critical role at the intersection of Generative AI and life-saving technology. We are partnering with a titan of Japanese industry to revolutionise how medical and industrial equipment is managed in hospitals and facilities worldwide. You will be a founding member of a team building a sophisticated GenAI platform designed to provide instant, intelligent access to complex product knowledge—from assembly and configuration to intricate repair procedures. This project is in its infancy, offering you the unique “greenfield” opportunity.

Requirements

Must Have
Extensive experience as a Senior DevOps / Cloud Engineer supporting cloud-native platforms.

Strong hands-on experience with Microsoft Azure, including:
Azure Data Lake Storage (ADLS Gen2)
Azure Functions
Azure Event Grid
Azure AI Services / Azure OpenAI (from an infra & security perspective)
Azure Monitor, Log Analytics, Azure Cost Management

Solid experience with Infrastructure as Code (IaC) using Terraform and/or Bicep.
Strong knowledge of CI/CD pipelines using Azure DevOps (pipelines, artifacts, environments).
Experience designing and operating event-driven architectures.
Strong understanding of security best practices:
– Microsoft Entra ID (Azure AD)
– RBAC, Managed Identities
– Azure Key Vault
Experience supporting data platforms (ETL pipelines, storage layers, batch processing).
Comfortable working with evolving architectures.
Strong troubleshooting skills across cloud infrastructure, networking, and application layers.

Nice to Have
Experience operating or designing on-prem or hybrid Kubernetes environments.
Experience with Azure Databricks and data engineering workloads.
Familiarity with AI/ML platform operations (model deployments, quotas, scaling, monitoring).
Experience with cost optimization for data- and AI-heavy Azure workloads.
Exposure to regulated or industrial domains (Healthcare, Manufacturing, Industrial Equipment).
Knowledge of security/compliance frameworks.

Job responsibilities

As a Senior DevOps Engineer, you will be responsible for designing, implementing, and operating the infrastructure that supports a modern data and AI-driven platform. You will play a key role in enabling a secure, scalable, and reliable environment that supports data ingestion, AI-driven enrichment, semantic search, and user-facing applications.

Your responsibilities include:
Designing and maintaining Azure cloud infrastructure for data ingestion, processing, enrichment, and search workloads.
Implementing and managing CI/CD pipelines for application, data processing, and infrastructure components.
Establishing secure access patterns using Entra ID, Managed Identities, and Azure Key Vault.
Operating and monitoring event-driven processing pipelines based on Azure Functions and Event Grid.
Collaborating closely with data engineers, ML engineers, and solution architects to ensure infrastructure aligns with platform evolution.
Implementing monitoring, logging, and alerting to ensure operational reliability.
Managing cost visibility and optimization as cloud usage grows.
Contributing to future initiatives involving Kubernetes-based ingestion, advanced data processing, and enterprise-scale operations

Description

Our client is an innovative U.S. medical device manufacturer that produces devices and software applications.

The project focuses on the development, maintenance, and enhancement of a healthcare technology platform that supports remote diagnostic testing, patient monitoring, and medical reporting.

The platform enables healthcare providers and diagnostic service organizations to manage diagnostic workflows, including test ordering, patient data collection, result processing, and report generation.

Requirements

• Create, edit, update, and maintain project-related documentation
• Work closely with development, testing, and product teams to ensure the quality, discoverability, and accuracy of the content created or updated
• Work with different document control tools to process project-related documentation
• Documentation releasing
• Localization

Job responsibilities

• 5+ years of experience in writing technical documentation
• Philological or technical background
• Excellent command of English (Advanced +)
• Excellent written and verbal communication skills
• Proofreading and editing skills
• Analytical skills
• Team player
• Experience in Healthcare domain would be a plus

Description

GlobalLogic is partnering with a leading global threat intelligence platform to design and deliver an enterprise-scale Human-in-the-Loop (HITL) AI agent platform. The initiative aims to accelerate expert analyst decision-making by combining generative and agentic AI with human expertise.

As a Senior DevOps Engineer (GCP / ML Platform), you will play a key role in building and operating the Google Cloud infrastructure behind this platform. Your responsibilities will include infrastructure as code, deployment automation, model serving, automated retraining pipelines, and secure integration with enterprise data systems. You will also lead production operations and Hypercare, ensuring the platform remains reliable, secure, and scalable after go-live. The initial engagement is planned for 4 months, with the possibility of extension depending on project needs.

Fully remote.

Requirements

• 5+ years of experience in DevOps or platform engineering, including at least 2 years supporting ML workloads in production.
• Strong hands-on experience with Google Cloud Platform (GCP) and Terraform.
• Experience with Vertex AI Pipelines, Endpoints, and Model Registry, or an equivalent MLOps platform.
• Experience building CI/CD pipelines using Cloud Build or GitHub Actions, working with containers, and deploying workloads on Kubernetes.

• Experience implementing enterprise security controls, including IAM, secrets management, and network security perimeters.

  Nice to have:

• Experience with inference optimization techniques, such as ONNX and quantization.
• Familiarity with MLflow, LLM observability tools, and data engineering in BigQuery.

• Relevant Google Cloud certifications, such as Google Cloud Professional-level certifications.

   

Job responsibilities

• Design, provision, and manage cloud infrastructure using Terraform, including Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, Cloud SQL, Secret Manager, IAM, and VPC Service Controls.
• Build and maintain CI/CD pipelines for services and ML models, including model registry and experiment tracking capabilities.
• Deploy and optimize ModernBERT model serving to achieve low-latency, cost-efficient inference at scale.
• Automate model retraining based on feedback volume or model drift, with validation and approval gates before promoting models to production.
• Build and operate the data infrastructure supporting analyst feedback and precedent data, using BigQuery and a vector store.
• Implement secure, auditable access to the client’s MCP servers, including authentication, token management, and Cloud Logging.
• Establish observability for system performance, inference latency, cost, and model quality; lead Hypercare, production monitoring, and incident response.