GlobalLogic3

Job Description

Readiness to work till 12 AM Kyiv 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.

Job Description

• Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
• 8+ years of professional experience in machine learning, data science, or AI engineering.
• Proven experience as a technical lead or solution architect for ML/AI projects, with accountability for end-to-end delivery in a production environment.
• Strong proficiency in Python and the modern ML/AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.
• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).
• Experience turning complex business needs into "machine-ready" technical specifications and acceptance criteria.
• Strong experience with major cloud platforms; hands-on knowledge of AWS (e.g., Amazon Bedrock, SageMaker) or GCP (e.g., Vertex AI) is highly desirable.
• Evidence of using modern GenAI tools (Claude Code, GitHub Copilot, etc.) to significantly accelerate your development and testing process.

Job Responsibilities

Advanced Recommendation Modeling: Design and deploy recommendation algorithms that account for time-decay, breaking news signals, and short-term user intent, distinguishing them from long-term preference models used in streaming.
Generative AI Integration: Lead the development and integration of Gen AI and LLM-based models to enhance content summarization, semantic search, and personalized news briefings.
Signal Processing: Engineer complex feature sets that weigh recency, topic sensitivity, and contextual relevance (e.g., differentiating between a user following a specific stock ticker vs. a general sector interest).
Model Lifecycle Management: Own the end-to-end lifecycle of ML models, from hypothesis and training to A/B testing, deployment, and monitoring in a high

Job Description

• 2+ years of experience with Java 8-17. Groovy, Kotlin.
• Good understanding of object-oriented programming concepts;
• Good understanding of UI and API services automation testing;
• Experience with Docker
• 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;
• Experience with Linux.
• Experience working with and configuring CI/CD (e.g., GitHub Actions, Jenkins)
• Deal well with ambiguous/undefined problems. Ability to think abstractly. A proactive approach to tasks;
• Shifted working hours 12pm till 8pm EEST timezone

Nice to have:

• Experience with Python and the Pytest framework
• Experience with SQL (MySQL)
• Practical knowledge of UI automation: Playwright or Selenium
• Familiarity with test reporting tools

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

Job Description

5+ years as DevOps Engineer in Linux environment

5+ years of Python development

Deep knowledge of networking and security

Hands-on experience with Linux, Containers, Kubernetes and AWS

Strong skills in Shell scripting and CI/CD pipelines

Excellent problem-solving and communication skills

Lead activities using Agile/Scrum methodologies

Job Responsibilities

Maintain and improve CI/CD pipelines

Administer on-prem Linux (Debian-based) servers

Manage AWS infrastructure

Lead Kubernetes (K8s) operations

Build internal DevOps tools (Python, Shell)

Troubleshoot systems, monitor performance, and identify bottlenecks

Collaborate with Automation and R&D teams as support tier

Participate in the DevOps on-call routine

Mentor and promote DevOps best practices and team members

Department/Project Description

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

DevOps team:
• Develops and maintains a tool set and a framework for building customer product. These include a
variety of Linux systems, including Embedded Systems, Data Center Servers and Containerized
solutions. This framework builds Debian packages and Docker images, and assembes a deliverable
product.
• Maintains on-premise Debian servers, Cloud and VMs for running this framework. The build system
consists of an array of Python, Perl and Bash modules, and uses REST API servers and clients, and
some Jenkins automation.