Langate

Langate is an award-winning provider of web development services in 3 main categories: business, healthcare, and education. At Langate, we're passionate about crafting digital solutions that make a real impact. We take immense pride in our strong collaboration with the U.S.  We're here to shape the future of technology, one milestone at a time. 

In addition to technical expertise, we value excellent communication skills. Collaboration and effective teamwork are the cornerstones of our success, and we believe in fostering an environment where everyone’s voice is heard and valued. 

We’re looking for a Senior QA Engineer to join our AdTech product team. The ideal candidate has a strong understanding of digital advertising systems, data-driven platforms, and campaign delivery workflows, combined with the ability to lead test strategy across the product lifecycle. This role goes beyond executing test cases — we need someone who can shape quality standards, influence product decisions, and ensure every release works reliably at scale. 

About the project:  

Our client is a corporate trade leader for nearly four decades, enabling companies to maximize the value they receive for assets, increase their return on ad spend, and generate funding for unbudgeted expenses. Independent, with an unrivaled vantage point of the media industry, our client helps large and small brands and agencies achieve a higher ROI, leveraging incremental value in the same quality properties and services they already purchase. 

The project is a CRM system for the sales departments of our client. 

Requirements:  

• 7+ years of QA experience with complex, data-intensive products (AdTech, MarTech, analytics platforms, or similar preferred). 
• Solid knowledge of QA methodologies, test design, and structured exploratory testing. 
• Understanding of programmatic advertising components such as DSP, SSP, RTB, tracking pixels, impression/click logging, attribution, audience segments, and fraud prevention. 
• Ability to interpret API requests/responses (REST, JSON), read logs, and perform basic SQL queries for data verification. 
• Strong soft skills: clear communication, active listening, conflict resolution, ability to present testing status to stakeholders, and influence prioritization. 
• Proactive approach to spotting risks early and proposing practical solutions. 
• Ownership mindset — ability to think at the product level, not just atthe  task level. 
• Comfortable working cross-functionally in a fast-moving environment with product, engineering, data science, and operations teams. 
• Upper-Intermediate English (both spoken and written) 

Nice to have: 

• Experience with automation tools (Postman, Cypress, Playwright, Selenium, REST-assured). 
• Experience working with advertising exchanges, attribution platforms, CDPs, or tag management systems. 
• Knowledge of BI tools (Looker, BigQuery, Redshift, Metabase, etc.). 
• Experience defining acceptance criteria with product managers and writing requirements with engineers. 

 
Responsibilities: 

• Owning quality for complex product areas, from planning through release. This includes defining test strategy, risk analysis, acceptance criteria, and prioritizing testing efforts based on business value. 
• Collaborating closely with product managers, engineers, UX, and data teams to understand requirements, clarify user flows, and identify potential gaps early. 
• Designing and maintaining test documentation: test plans, test cases, regression checklists, data validation procedures, and bug reports. 
• Driving initiatives to improve test coverage, automation readiness, test environments, and data quality. 
• Acting as a quality advocate during grooming, planning, and retrospectives, communicating risks and proposing solutions in a productive, non-blocking way. 
• Testing features across multiple components (DSP, SSP, measurement tools, APIs, bidding logic, audience segmentation, reporting dashboards, targeting rules, etc.). 
• Using data to verify business logic: campaign performance metrics, event logs, cookies, third-party trackers, attribution, and real-time bidding behaviors. 
• Working with automation engineers to prioritize what should be automated at UI, API, and data layers. 

Langate is an award‑winning provider of web development services in 3 main categories: business, healthcare, and education. At Langate, we're passionate about crafting digital solutions that make a real impact. We take immense pride in our strong collaboration with the U.S. We're here to shape the future of technology, one milestone at a time. In addition to technical expertise, we value excellent communication skills. Collaboration and effective teamwork are the cornerstones of our success, and we believe in fostering an environment where everyone’s voice is heard and valued. To thrive in this role, we’re seeking candidates with a strong academic background and hands‑on experience through pet projects, university work, hackathons, Kaggle, or research, coupled with a solid foundation in Python, ML basics, algorithms, and engineering tools. 

About the project: This internship gives you hands‑on experience working on real AI/ML tasks in a live engineering environment. You will help build and refine ML pipelines, prepare data, run experiments, and evaluate models under the guidance of a mentor. The work includes creating small prototypes, integrating models into simple internal tools, and documenting results. You’ll gain practical exposure to applied AI development and gradually take ownership of small but meaningful components as you learn. Upon successful completion of the internship, there is an opportunity to receive a permanent position within the company. 

Requirements:  

• Strong Python programming skills (required)
• Basic OOP, clean code habits
• Good understanding of data structures & algorithms
• ML fundamentals: supervised learning, train/val/test splits, metrics, overfitting
• Familiarity with PyTorch
• Experience with Git, Linux/CLI, virtual environments
• Data skills: pandas, NumPy, preprocessing 

Nice‑to‑have: 

• Experience with LLMs, Transformers, embeddings, vector DBs (RAG)
• Basic backend/API development (FastAPI/Flask)
• Docker
• Cloud basics (AWS/GCP/Azure) 

 
Responsibilities:

• Implement and improve AI/ML features under mentor guidance
• Run experiments, track results, compare approaches
• Perform model evaluation and propose improvements
• Work on data tasks (cleaning, preprocessing, dataset creation, labeling support)
• Build supporting components (scripts/services)
• Integrate models into simple APIs or internal tools
• Document findings and maintain reproducible code
• Deliver prototypes, experiment reports, feature increments, and clean PRs 

Team: You will be working directly with a mentor and collaborating with an experienced engineering team. Regular syncs: 2–3 times per week (standup/demo/check‑in); rest async. 

Schedule: 6+ hours/day, preferred overlap: 3–5 hours with EET/EEST (UTC+2 / UTC+3). Internship duration: 2+ months, extendable based on performance 

Hiring process: HR interview + tech specialists   

Why Choose Us? What Do We Offer that's Exceptional?    

1. Cutting-Edge Technologies on Real Projects: At Langate, you'll work with the latest technologies on live projects. We're a dynamic, fast-growing company, so you'll find a minimal amount of legacy systems and plenty of opportunities to implement new technologies.
2. Work-Life Balance with Benefits: We value work-life balance and offer paid time off, including vacation days and sick leave. Remote work options and hearty life are part of the package too.    
3. Investment in Your Growth: We're committed to your professional development. You can expect training programs, courses, and opportunities to enhance your English language skills.   
4. Team Building and Unity: We know that a happy team is a productive team. That's why we organize team-building events and group activities to foster strong bonds and a sense of belonging.    

When you choose us, you're choosing a company that values innovation, invests in its employees, and provides a supportive and engaging work environment. Join us in shaping the future of technology!  

Need more information? Welcome! 

Необхідні навички:

Ця вакансія вимагає знання англійської мови на вільному розмовному рівні.

Support/Billing в медичній компанії відповідає за моніторинг і забезпечення всіх фінансових операцій, що мають відношення до перебування пацієнта в госпіталі:

- Введення інформації про пацієнта в систему обліку;

- Визначення умов страховки пацієнта;

- Збір фінансової інформації про пацієнта (рахунки, активи, рух коштів і т.д.);

- Виставлення рахунків страховим компаніям;

- Відстеження надходження коштів в рахунок оплати;

- Hобота здійснюється у львівському офісі, проте в ході роботи необхідно здійснювати дзвінки в США.

Вимоги:

- Розмовний рівень англійської мови, бажаний регулярний досвід спілкування з носіями мови;

- Уважність, відповідальність, досвід роботи з цифрами та на подібній посаді

- У зв'язку з роботою клієнтів у США робота буде здійснюватися за графіком з 14:00 до 23:00 з офісу у Львові

Що ми пропонуємо:

• Офіційне працевлаштування;
• Фіксовану ставку без штрафів згідно з курсом долара залежно від досвіду та рівня англійської;
• Заняття з інструктором по йозі;
• Послуги психолога та коуча;
• Воркшопи та майстер-класи;
• Корпоративні навчання, тренінги та регулярні перегляди зарплатні;
• Практика англійської з нейтів спікерами щодня!
• Менторство: кожен новачок має ментора, ми беремо на роботу кандидатів і без досвіду та навчаємо їх під час двомісячного оплачуваного стажування.
• Трансфер додому з офісу.

Чому з нами круто?

• Ми віримо в силу постійного навчання та підтримуємо культуру співпраці.
• Наша команда стрімко розвивається, що відкриває нові можливості для кар'єрного зростання.
• Ми цінуємо кожного співробітника і створюємо умови для комфортної та продуктивної роботи.

Приєднуйтесь до нас, щоб стати частиною динамічної команди, яка прагне до досконалості та інновацій!