GlobalLogic

Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

Project goals include automation testing of the video and audio content and other services available via digital media players using a custom test automation framework.
 

The candidate must be ready for a week-long onboarding in Lviv.


Job Description

1+ years of hands-on experience in Python Web Automation testing
Strong practical experience with Selenium WebDriver
Experience writing and maintaining automated tests within an existing framework
Solid understanding and practical usage of the Page Object Model (POM) pattern
Basic understanding of test automation architecture principles
Basic experience or understanding of API testing (REST, JSON, HTTP)
Basic understanding of CI/CD processes (experience running automated tests in Jenkins, GitHub Actions, GitLab CI, etc. is a plus)
Confident working knowledge of Git (clone, branch, merge, pull requests)
Basic working knowledge of Linux/Unix systems (navigation, running tests, working with logs)
Understanding of QA methodologies, SDLC, and defect lifecycle
Good analytical and problem-solving skills
Intermediate level of English (written and verbal) for working in an international team
Basic practical experience using AI tools to support test automation activities is a plus

 

Job Responsibilities

Designing, developing, and maintaining automated test frameworks using Python and Selenium;
Developing new automated tests and improving existing ones (refactoring, stability, performance);
Analyzing test failures, identifying root causes, and reducing flaky tests;
Participating in automation strategy discussions and decisions on what and how to automate;
Reviewing automation code and ensuring best practices are followed;
Extending automation coverage across UI and API levels;
Integrating and maintaining automated tests in CI/CD pipelines;
Collaborating closely with Manual QA, Developers, and Product teams;
Creating and maintaining technical documentation for automation solutions;
Mentoring junior automation engineers and sharing best practices;
Communicating with an international team (US).

Job Description

Experience: 3+ years of dedicated experience as a Scrum Master in a software development or IT environment.

Certifications: Advanced Agile/Scrum certifications are highly preferred (e.g., PSM II, PSM III, A-CSM, CSP-SM, or PMI-ACP).

Framework Knowledge: Deep, practical understanding of Scrum, Kanban, and other Agile methodologies. Experience working in a scaled agile environment is a major plus.

Technical Literacy: Strong understanding of the software development lifecycle (SDLC) and CI/CD practices. You don't need to code, but you must be able to "speak developer."

Tool Proficiency: Expert-level experience with agile management tools such as Jira, Confluence

Soft Skills: Exceptional communication, facilitation, negotiation, and conflict-resolution skills. Proven ability to influence without authority.

Job Responsibilities

Facilitation & Process Leadership: Lead all Scrum ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, Retrospectives and Refinements) 

Coaching & Mentoring: Act as an agile coach for the development team, Product Owner, and broader organization.

Product Owner Partnership: Work closely with the Product Owner to ensure the product backlog is healthy, refined, and properly prioritized to maximize value delivery, help Product owner to capture/improve user stories

Impediment Removal: Proactively identify and resolve systemic blockers, dependencies, and conflicts that impact team performance and delivery.

Metrics & Continuous Improvement: Track and communicate agile metrics (velocity, cycle time, burndown, etc.) to the team and stakeholders. Use data to drive conversations around process improvements and team health.

Cross-Team Collaboration: Facilitate coordination with other teams and departments.

Culture Building: Foster a safe, high-trust environment where team members feel comfortable experimenting, failing, and learning.

Delivery overseeing: prepare release notes and deployment plans

Department/Project Description

Our customer is a private, family-owned company, founded by scientists and dedicated to providing the world’s highest quality, innovative research and diagnostic products to accelerate biological understanding and enable personalized medicine. Our employees operate worldwide from our U.S. headquarters in Massachusetts, and our offices in the Netherlands, China, and Japan.

Job Description

- Basic understanding of software testing principles, types, techniques, and the software development lifecycle.
- Familiarity with Windows operating systems.
- Knowledge of relational databases (preferably SQL Server); ability to write and execute simple SQL queries (SELECT, UPDATE, DELETE).
- Attention to detail and strong analytical skills.
- Ability to document test cases and results clearly.
- Basic knowledge of virtualization tools such as VMware and Oracle VirtualBox.
- English at a level sufficient to read technical documentation.
- Willingness to learn and grow in the QA field.

Job Responsibilities

- Training and performing software testing tasks for a project.
- Executing test cases, documenting results, and reporting issues.
- Setting up and working with virtual machines in VMware and Oracle VirtualBox for testing purposes.
- Collaborating with developers and other QA team members to ensure software quality.
- Learning and applying best practices in quality assurance.

Department/Project Description

Our client is a big medical equipment manufacturer located in the United States. We have completed a lot of projects for them during the last 20 years and continue our strong relationship. We are creating a desktop application that allows to connect to customer equipment in the field via USB or Bluetooth and allows customers to perform common device maintenance tasks.

Description

As the Business Analyst for the Data Platform, you will be the vital link between our business stakeholders and the technical engineering team. You will be responsible for translating high-level business goals into clear, actionable requirements that will shape the development of our new analytics dashboards. Your work will ensure that the final product is not just technically sound, but that it delivers meaningful and impactful insights to the business.

Requirements

Required Skills (Must-Haves)

– Business Process Analysis: Proven experience in analyzing and documenting complex business processes.
– Requirements Engineering: Strong skills in writing clear and concise user stories and requirements documents.
– Data Literacy: Good understanding of database (DB) concepts, schemas, and data relationships.
– SQL: Basic to intermediate SQL skills for data exploration and validation.
– BI Knowledge: Familiarity with Business Intelligence (BI) concepts and experience working on BI or data warehousing projects.

– Hands-on Tableau Experience: Ability to build proof-of-concept reports and perform data exploration directly in Tableau.

Nice-to-Have Skills:

– Agile Certification: Formal certification in an Agile methodology, such as Certified Scrum Product Owner (CSPO).
– Data Governance Familiarity: Understanding of data governance principles.

– Proficiency in GenAI tools usage.

Job responsibilities

– Requirements Gathering: Lead workshops and interviews with business stakeholders to elicit, analyze, and document business requirements
– Translate to Technical Needs: Convert business needs into clear user stories and functional specifications for the data engineers and BI developer.
– Data Mapping & Analysis: Create source-to-target mapping documents and use SQL to explore source data, validate business rules, and ensure the technical team understands the data’s context.
– Dashboard Collaboration: Work closely with the BI Developer to design intuitive and effective Tableau dashboards that directly address the defined business questions.
– Facilitate Communication: Act as the primary communication bridge, ensuring there is a shared understanding between all project members and stakeholders.

– Collaboaration with Architect defining solution architecture and specifications

– Work closely with PM/Scrum master supporting Sprints/PIs plannings

Symbotic’s talented and diverse workforce develops disruptive robotic solutions for warehouse automation and supply chain transformation, drives results, and focuses on customer satisfaction. Our modular and scalable solutions utilize existing space and high-speed robotics combined with proprietary software and technology. Since forming in 2007, Symbotic has grown to over 1000 employees in North America and supports an impressive, high-profile customer base. We seek candidates who are passionate about our solution and approach problem-solving with a creative mind and a commitment to excellence. If you seek a challenge and want to impact the way the world distributes products from manufacturers to store shelves, we invite you to join our team.

Job Description

• 4+ years of professional experience developing C# .NET software applications
• Experience with .NET Framework, .NET Standard, .NET 
• Strong understanding of OOP paradigm and principles
• Good understanding and experience with GoF patterns and SOLID principles
• Good understanding of asynchronous development approaches (threads, tasks etc.)
• Experince with WPF
• Experience with WEB UI design (Angular, React, etc)
• Experience of automated tests creation
• Understanding Source control systems (Git is preferable)
• Understanding of CI/CD practices
• Experience with Microservices, WCF, RabbitMQ, Http, Rest, TCP/IP, Redis would be a plus
• Great willingness to deep dive into project on his/her own

• Intermediate English level

   

Job Responsibilities

• Design and develop .NET applications and automation tests in a team
• Participate in design sessions, analyze requirements, investigate and create user stories/tasks
• Work in a dynamic Agile/Scrum based environment
• Understand existing systems and underlying code base
• Demonstrate passion about building high quality software, love solving problems and facing new challenges. Be a proactive communicator who enjoys working closely with creative and technical peers
• Mentor junior colleagues 

Job Description

Qualifications
You will succeed in this role if you:
● Have at least 3 years of experience with On Prem and/or Cloud Providers (AWS, Azure, or GCP), with Azure being a must.
● Have worked with Azure cloud environments to manage and deploy Java applications built on Spring Boot and Spring MVC.
● Possess deep experience with Spring Batch for high-volume data processing and Spring Data (referenced as String Data) for robust RDBMS/NoSQL integration.
● Have a proven track record of setting up and configuring CI/CD pipelines using tools such as Jenkins or GitHub Actions to enforce the 80% unit test coverage requirement.
● Understand container technology, such as Docker and its ecosystem, for packaging Spring-based microservices.
● Have experience with build and delivery processes for enterprise web applications and complex backend systems.
● 5+ years of experience working on large development projects using TypeScript and modern frontend ecosystem tools.
● 3+ years of experience building high-performance web applications using Next.js, including deep knowledge of App Router, Server Components, and SSR/SSG patterns.
● 3+ years of experience implementing enterprise-grade UI components using the Hitachi Design System (or similar enterprise design systems) to ensure visual and functional consistency.
● 3+ years of experience building robust unit and component tests using tools like Jest, Vitest, or React Testing Library to meet the 80% line coverage mandate.
● Are always looking for ways to automate testing, deployment, and regression suites.
● Can explain the advantages and disadvantages of containerization in a microservices architecture.
● Are interested in improving the software delivery lifecycle using frameworks like Kubernetes and Terraform.
● Are comfortable working in polyglot environments (debugging code in Java, Node.js, Python, Groovy, or Golang).
● Understand the benefits of static code analysis, open-source scanning, and mandatory peer reviews by at least two engineers.
● Are ready to help inform “build vs. buy” decisions and participate in Change Control Board (CCB) reviews for scope or schedule shifts.
● Could field questions on topics like “DevOps,” “Microservices,” “Continuous Delivery,“ or “Batch Processing.”
● Understand RBAC, the principles of least privilege, and AI data security protocols to ensure client data is not used for model training.
● Are familiar with both NoSQL (Mongo, Redis) and RDBMS (Postgres, MySQL, SQL Server) systems, specifically utilizing Spring Data for abstraction.
● Understand SLIs, SLOs, and Error Budgets and how to apply the four golden signals to backend services.
● Are comfortable challenging the status quo, thinking outside the box, and adhering to a formal Definition of Done.

● Have experience with or the desire to lead others, including managing technical expectations with the Program and Product Manager.
● Work well with others and enjoy the journey of delivering high-quality products.
● Enjoy working in and learning to use a wide variety of technologies and languages.

Nice to have
● Experience building and managing scaled architectures like Microfrontends, Monorepos (Turbo/Nx), and shared internal component libraries.
● Experience managing and evolving CI/CD pipelines (Jenkins, GitHub Actions) and related DevOps tools.
● Experience building QA test automation (Cypress, Playwright) and ensuring software conforms to designs verified by the UX Lead.
● Experience building and maintaining application analytics, real-user monitoring (RUM), and securing frontend applications.
● Experience building Authentication and Authorization (NextAuth, OAuth) for protected enterprise applications.

Job Responsibilities

• Design and develop enterprise applications using Java (Spring Boot, Spring MVC, Spring Batch) and modern frontend technologies (TypeScript, React, Next.js).
• Deploy and manage applications in Azure cloud environments and support containerized microservices using Docker.

• Build and maintain CI/CD pipelines (Jenkins, GitHub Actions) and ensure high code quality and testing standards.

   

• Integrate backend services with RDBMS and NoSQL databases using Spring Data.

   

• Support microservices architecture, container orchestration, and infrastructure automation using tools like Kubernetes and Terraform.

   

• Collaborate with stakeholders and engineering teams to deliver scalable solutions and participate in architecture and technical decision-making.

   

• Contribute to DevOps practices, monitoring, and reliability using concepts such as SLIs, SLOs, and error budgets.

   

• Mentor engineers and support delivery planning in collaboration with Product and Program Managers.

Department/Project Description

The client is one of the largest energy providers in the United States, operating across power generation, transmission, and distribution, and driving innovation in grid modernization, digitalization, and AI-enabled energy infrastructure. They play a critical role in supporting large-scale data centers and future AI factories with reliable, secure, and efficient energy solutions.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About Choreograph: A Leading WPP Media Brand
Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Essential

• GCP (esp Vertex, BigQuery, Model Registry)
• Python (needs to be very strong)
• Docker
• FastAPI (or similar)
• SQL
• Terraform
• Strong understanding or even hands-on ML experience
• Package management (uv is cool, but don’t mind others e.g. poetry; we work with a whole range here)
• Scalable experimentation & model tracking (no specific tech as we’re using native GCP logging and metadata store atm, but as we mature open-source tech e.g. MLFlow will be brilliant), and Scalable ML deployment experience (i.e. standing up an inference endpoint for hardly no traffic doesn’t count)

Desirable:

• FTI (Feature/Training/Inference) framework
• Common ML frameworks (such as PyTorch, Sklearn)

Bonus:

• RAG
• LLM orchestration tool e.g LangGraph,
• Reinforcement Learning tools e.g. OpenaiGym, RLib

Job Responsibilities

The Machine Learning Engineer is responsible for deploying and maintaining the algorithms developed by data scientists. This role will be part of the Optimize Data Science team (3 FTEs plus seconded team of 5 FTEs)

While Data Scientists focus on research and model development, the ML Engineer is responsible for the technical infrastructure, scaling, performance optimization, and maintenance of the models. Their work involves implementing, testing, deploying, and monitoring the models in a production environment.

• Model deployment: Takes models (brand new or improvements to existing models) developed by data scientists and builds the software and infrastructure to deploy them into a live production environment.
• Performance optimization: Optimizes code for latency and efficiency across different hardware, like CPUs and GPUs, and overall quality (e.g. readability, maintainability, reliability and so forth).
• System design & scaling: Designs, builds, and maintains the technical components that integrate into existing software to train, deploy, and scale ML models. (N.B. There will be opportunity to work on new systems from ground up later in the year, too.)
• Monitoring and maintenance: Implements logging and monitoring to track model performance, identifies and fixes bugs (in collaboration with wider teams if appropriate), and performs necessary updates and improvements.
• Collaboration: Works closely with data scientists and wider engineering teams to understand the model and help convert it into a production-ready system.
• Experimentation: Design, build and deploy technical components based on the methodologies designed by Data Scientists to enable scalable experiments, model evaluation and visualisation of results.
• Up-skilling DS in ML Engineering and AI innovations: Support DS team to utilise modern and cloud-based (esp GCP) technologies for development (e.g. Vertex, Docker, BigQuery, Dev Containers, Ray and others) to expedite and innovate the entire development lifecycle

Description

Client is a luxury skincare and beauty brand. The brand is based in San Francisco and sells luxury skincare products worldwide.

Tatcha’s main IT “product” is its e-commerce website, which functions as a digital platform to sell products, educate customers, and personalize experiences.

• Runs on Salesforce Commerce Cloud (formerly Demandware) — an enterprise e-commerce platform that supports online shopping, order processing, customer accounts, and product catalogs.
• Hosted on cloud infrastructure (e.g., AWS, Cloudflare) for reliable performance and security
  Uses HTTPS/SSL encryption to secure data transfers.
• Integrated marketing and analytics technologies such as Klaviyo (email & SMS automation), Google Tag Manager, and personalization tools to track behavior, optimize campaigns, and increase conversions

It’s both a shopping platform and a digital touchpoint for customers worldwide.

Requirements

• 6+ years of experience as a Data Engineer, Analytics Engineer, or in a similar data-focused role.
• Strong SQL skills for complex data transformations and analytics-ready datasets.
• Hands-on experience with Python for data pipelines, automation, and data processing.
• Experience working with cloud-based data platforms (AWS preferred).
• Solid understanding of data warehousing concepts (fact/dimension modeling, star schemas).
• Experience building and maintaining ETL/ELT pipelines from multiple data sources.
• Familiarity with data quality, monitoring, and validation practices.
• Experience handling customer, transactional, and behavioral data in a digital or e-commerce environment.
• Ability to work with cross-functional stakeholders (Marketing, Product, Analytics, Engineering).

Nice to have:

• Experience with Snowflake, Redshift, or BigQuery.
• Experience with dbt or similar data transformation frameworks.
• Familiarity with Airflow or other orchestration tools.
• Experience with marketing and CRM data (e.g. Klaviyo, GA4, attribution tools).
• Exposure to A/B testing and experimentation data.
• Understanding of privacy and compliance (GDPR, CCPA).
• Experience in consumer, retail, or luxury brands.
• Knowledge of event tracking and analytics instrumentation.
• Ability to travel + visa to the USA
•  

Job responsibilities

• Design, build, and maintain scalable data pipelines ingesting data from multiple sources:
  e-commerce platform (e.g. Salesforce Commerce Cloud), CRM/marketing tools (Klaviyo), web analytics, fulfillment and logistics systems.
• Ensure reliable, near-real-time data ingestion for customer behavior, orders, inventory, and marketing performance.
• Develop and optimize ETL/ELT workflows using cloud-native tools.
• Model and maintain customer, order, product, and session-level datasets to support analytics and personalization use cases.
• Enable 360° customer view by unifying data from website interactions, email/SMS campaigns, purchases, and returns.
• Support data needs for personalization tools (e.g. product recommendation quizzes, ritual finders).
• Build datasets that power marketing attribution, funnel analysis, cohort analysis, and LTV calculations.
• Enable data access for growth, marketing, and CRM teams to optimize campaign targeting and personalization
• Ensure accurate tracking and validation of events, conversions, and user journeys across channels.
• Work closely with Product, E-commerce, Marketing, Operations, and Engineering teams to translate business needs into data solutions.
• Support experimentation initiatives (A/B testing, new digital experiences, virtual stores).
• Act as a data partner in decision-making for growth, CX, and operational efficiency.
• Build and manage data solutions on cloud infrastructure (e.g. AWS).
• Optimize storage and compute costs while maintaining performance and scalability.

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.

We are seeking a Middle Data Engineer to join our AI-Native Delivery Pod. In this role, you will move beyond traditional ETL development to become an "Architect of Data Flows," leveraging AI agents to design, build, and test complex data pipelines.

Your focus will be on data-intensive, No-UI projects where the primary value lies in the integrity, speed, and structure of the data. You will use Claude Code, Cursor, and agentic workflows to automate routine SQL and Python development, allowing you to concentrate on logic validation, data quality assurance, and performance optimization within cloud environments. As part of an AI-Native pod, you will operate at a velocity significantly higher than traditional teams by treating AI as your primary executor.

Required Qualifications

• Degree: Bachelor’s degree in Computer Science, Applied Mathematics, Data Engineering, or a related technical field.
• Professional Experience: 3+ years of experience in Data Engineering, specifically building and maintaining production-grade data pipelines.
• Tech Stack Mastery: Strong proficiency in Python (Pandas, PySpark, Boto3) and advanced SQL (window functions, optimization, procedural SQL).
• Data Tooling: Hands-on experience with orchestration tools (e.g., Airflow, Prefect, or Dagster) and data transformation frameworks like dbt.
• Cloud Ecosystem: Practical experience with cloud data warehouses and services, specifically within the Azure ecosystem (Azure Data Factory, Synapse, Databricks, or ADLS).
• AI-Native Proficiency: Proven experience using Generative AI tools (Claude Code, GitHub Copilot) to accelerate coding, migrations, and documentation.
• Data Quality & Testing: Solid understanding of data testing principles and experience implementing automated Data Quality Gates.
• Methodology: Familiarity with Spec-Driven Development, where code is generated based on formalized requirements and pre-defined test cases.

Preferred Qualifications

• Agentic Workflows: Experience building or using agentic systems to automate data processing or metadata management.
• Big Data Frameworks: Experience with distributed processing at scale (e.g., Spark, Flink, or Kafka).
• DataOps: Experience with containerization (Docker, Kubernetes) and building CI/CD pipelines specifically for data workloads.
• Systematic Debugging: Ability to apply a structured approach to debugging non-linear errors in massive datasets.

Job Responsibilities

• Pipeline Orchestration: Design and implement scalable ETL/ELT processes, piloting AI agents to generate boilerplate code and optimize complex queries.
• Agentic Execution: Use Claude Code CLI to implement data transformations, automate schema migrations, and generate pipeline documentation.
• Deep Review: Conduct rigorous analysis of AI-generated code, focusing on data lineage, cost-efficiency of cloud resources, and security.
• Data Quality Assurance: Define and implement automated "Quality Gates" to ensure data integrity and correctness at every stage of the pipeline.
• Context Hygiene: Maintain the project’s operational memory (the CLAUDE.md file and /docs folder) to ensure AI agents remain effective and aligned with project goals.
• Skill Library Contribution: Help build and refine the pod’s "Skills" library for Claude Code, automating recurring data engineering patterns.
• Stakeholder Collaboration: Work closely with the AI Solution Architect to implement data models and with the AI Reliability Engineer to integrate data into the broader project ecosystem.

Department/Project Description

You will join a specialized AI-Native Delivery Pod focused on complex, high-stakes Data Engineering projects. Our mission is to build robust data infrastructures for enterprise clients using a Fixed Price model, delivering results with unprecedented speed through the synergy of human expertise and agentic execution. Projects typically involve building modern Data Warehouses (DWH), Analytics Lakes, and AI-ready data foundations within the Azure cloud. We operate in an environment of high autonomy where every engineer is an operator of cutting-edge AI technology.

Skill Category

AI/ML

Keyskills - Must Have

• Python
• claude
• Data Engineer

Job Description

Required

• Bachelor’s degree in Computer Engineering or Computer Science.
• 5+ years of relevant software development experience. 
• Able to work and influence in a highly cross-functional team environment
• Management: 3 or more projects in parallel 
• Experience in interviewing and candidate selection 
• Experience in introducing and driving Agile development processes (Scrum and Scaled Scrum) within the organization.
• Continues improvement attitude, change driver
• Understanding of Unit Testing, Continuous Integration and debugging of complex software systems
• Ability to work in a multinational and geographically distributed team 
• Excellent communication and negotiation skills, for both internal and external audiences, at all levels
• Excellent written and spoken English level

Nice to have

• Experiences with medical deveice development processes and communication standards.
• Experience with cross-platform development.
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others.
• Medical device development process knowledge

Job Responsibilities

• Coordinate teamwork
• Handle communication with the team, client, and other subteams
• Train and coach on ceremonies: daily stand-ups, planning meetings, retrospective meetings, etc
• People management
• Processing of new opportunities
• Hold regular technical team meetings to determine progress and address any technical questions or challenges related to projects
• Collaborate with cross-functional teams to define, design, and ship new features
• Handle project documentation so it is always up to date

Department/Project Description

GL cooperates with eye care products industry leading US based company. Wide portfolio of project is growing on a weekly basis and covers technologies from embedded world through mobile applications to the cloud solutions, from System design through cybersecurity advisory to the test automation projects.

Job Description

• Strong proficiency in Java (JDK17+) and Spring Framework (2.x–5.x).
• Understanding of REST APIs and JSON-based integrations.
• Solid SQL experience (queries, joins, optimization).
• Proficiency with GitLab, AWS and CI/CD workflows.
• Familiarity with UI frameworks (vue.js).
• Good communication and task management skills.

Job Responsibilities

• Design, develop, and maintain scalable, API-driven backend services.
• Align backend systems with modern data modeling and orchestration standards.
• Collaborate with engineering, product, and design teams to ensure seamless integration across the broader data platform.
• Implement and refine RESTful APIs following established design guidelines.
• Troubleshoot complex technical issues and optimize performance of applications.
• Collaborate closely with cross-functional teams, including Product Manager, FE Engineers, and Product Owners, to gather requirements and deliver high-quality solutions.

Department/Project Description

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

Job Description

Must have:

• Strong hands-on experience with AWS cloud platform, including services such as ECS (Fargate), Lambda, API Gateway, DynamoDB, ElastiCache, OpenSearch, VPC networking, and AWS Security Hub
• Deep experience with Infrastructure as Code using Terraform, including designing reusable modules and managing multi-environment, multi-region infrastructure
• Strong experience designing and maintaining CI/CD pipelines (GitLab CI)
• Strong scripting and automation skills using Python / PowerShell / Bash
• Experience implementing automation-driven infrastructure and deployment processes
• Experience implementing GitOps or automated infrastructure lifecycle management
• Strong knowledge of Git workflows and collaborative development practices
• Experience implementing security and compliance controls in cloud infrastructure and CI/CD pipelines
• Ability to design secure, scalable cloud infrastructure platforms with security embedded by default

Nice to have:

• Experience with Datadog monitoring and observability platform
• Experience working with multi-account AWS environments
• Knowledge of Linux and Windows environments
• Experience integrating cloud security tooling (Orca Security or similar)
• Experience designing cloud governance frameworks, guardrails, and security policies
• Experience designing infrastructure governance and guardrails
• AWS or Terraform certifications

Job Responsibilities

Platform Engineering

• Design and develop automation frameworks for provisioning, deploying, and managing cloud infrastructure
• Build and maintain reusable Terraform modules and shared infrastructure components
• Ensure infrastructure modules and automation frameworks include security controls, secure defaults, and compliance guardrails
• Develop, improve and standardize CI/CD pipelines and deployment automation across services and environments
• Develop self-service infrastructure capabilities that allow engineering teams to provision environments and services through automation
• Identify and eliminate manual operational processes through automation and platform capabilities

Technical Leadership

• Provide technical guidance and mentorship to DevOps engineers within the team
• Lead technical discussions and architectural decisions related to cloud infrastructure and automation
• Promote engineering best practices for infrastructure, automation, CI/CD, GitOps workflows, and secure development practices
• Lead initiatives to evolve the team toward automation-first and platform engineering practices

Developer Enablement

• Work closely with development teams to improve deployment workflows and development lifecycle efficiency
• Enable teams through automation, tooling, and self-service infrastructure capabilities

Platform Reliability & Observability

• Improve platform monitoring, observability, and operational visibility using tools such as Datadog
• Ensure security and reliability best practices are integrated into infrastructure and deployment automation

Department/Project Description

GL Healthcare Division Program is looking for a Lead DevOps Engineer to join the Reliability Engineering team responsible for the mission-critical medical data processing systems infrastructure development and operation.

We have a trusted relationship with the Client, a multinational MedTech corporation with which we have been cooperating for over 20 years.

Job Description

Technical skill set in software development and a command of C, Networking and Embedded Linux.
Awareness on WLAN, Ethernet drivers along with TCP/IP, switching & routing, Ethernet, Bridging.
Software development expereince using Git.

 

Job Responsibilities

Work as a part of the C & Linux-Embeded team to develop reliable and scalable WiFi solutions.
Actively participate in software design and code reviews.
Expected to work independently with good problem resolving skills.

Department/Project Description

Our client is one of the United States largest high-speed Internet, video and phone providers to residential customers.

Skill Category

C/Embedded

Keyskills - Must Have

• C
• Embedded
• Linux
• Networking

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.

Description

Broadband team works on 2nd generations of Harmonic (NASDAQ:HLIT) Cable Access products: actively developing the industry’s first software-based CCAP solution (“Cable OS”) and cloud native CMTS.

These solutions allow to cable operator companies to deliver the IP-based data, video, and voice services to millions of customers. Focus is given to CableOS which will allow to get rid of the existing HW equipment and to migrate to the cloud, saving customers the enormous expenses for the support of HW network equipment.

The system is based on microservice architecture and is running on the general purpose CPUs. It doesn’t require using ASICs and make possible to run the SW both on the bare metal servers as well as on the private cloud infostructure. CableOS is a pioneer in DOCSIS software defined networking (SDN) with all the benefits it gives to the service providers.

GlobalLogic team is involved in development, manual and automated testing, as well as in solution integration at customers’ headend and further technical support 24/7 with providing professional services for Customers.

To learn more – please visit

HTTPS://WWW.HARMONICINC.COM/BROADBAND/
HTTPS://WWW.GLOBALLOGIC.COM/UA/HARMONIC-AND-GLOBALLOGIC/

Requirements

• 1+ years of experience in SW testing or customer support in network provider companies
• Understanding and knowledge of computer networks and L2/L3 networking protocols
• Basic hands-on experience with Linux command-line
• High level of interpersonal skills. Ability to communicate effectively with different groups.

• At least Intermediate level of English (writing and speaking).

  Would be a plus:

• Knowledge in DOCSIS / PON (Passive Optical Network)
• Knowledge in CI/CD (Jenkins)
• Data traffic generators (Ixia, iPerf.) and analyzers (Wireshark)
• Script tools/languages (Python, Bash, etc.)
• Hands-on experience with virtualization technologies (Kubernetes, Docker).

Job responsibilities

• Active collaboration with mentor
• Deep involvement in the commercial project workflow and practical tasks
• Test end-to-end complex embedded systems by analyzing automation test results, which are part of Continuous Integration (CI)
• Maintain test suites (CI) by adding new tests (Python) developed by other teams, and optimizing their structure to increase coverage
• Ramp up and maintain a shared pool of setups dedicated to the CI/CD activities
• Work in agile mode and cooperate with multiple scrum teams