Tech Duck

We are looking for a Full Stack QA Engineer in Kazakhstan (hybrid, with office attendance) to join an international software development and outsourcing company and work on a project developing a secure, scalable payment platform and ensuring reliable payment processing and integrations. Our customer is a large international technology organization operating in the digital infrastructure domain. It develops and maintains high-load platforms that process and manage significant volumes of data across multiple regions. The engineering landscape includes distributed systems, cloud-based environments, system integrations, and advanced security practices, with a focus on reliability, scalability, and continuous platform evolution. The project is focused on developing and integrating a modern payment platform that supports secure and reliable payment processing and interaction with external systems. It includes scalable microservices, asynchronous transaction processing, payment status and error handling, with a strong emphasis on resilience, security, and high availability. Responsibilities: Performing functional testing of payment services. Testing REST APIs and system integrations. Verifying interactions between microservices and external systems. Testing Kafka-based messaging and asynchronous event processing. Validating different payment transaction states, including success, decline, cancel, refund, pending, error, and others. Verifying correct transitions between payment states. Using SQL to validate transaction processing results. Cross-checking API responses, Kafka events, and database records. Developing and maintaining automated API tests. Testing retry mechanisms, timeouts, duplicate requests, and error recovery scenarios. Analyzing logs and tracing requests across services. Performing regression testing. Developing test scenarios and preparing test data. Reporting, documenting, and tracking defects. Verifying bug fixes and assessing regression risks. Testing iOS and Android mobile applications. Analyzing automated test results and contributing to the maintenance of the regression test suite. Requirements: Must-haves: Commercial experience in functional and integration testing of backend systems for 3+ years. Hands-on experience with REST API testing. Experience in integration testing involving multiple interconnected systems. Hands-on experience testing synchronous and asynchronous integrations using Kafka. Understanding of event-driven architecture principles. Strong SQL skills and experience validating data in databases. Hands-on experience developing and maintaining automated tests for APIs and integrations; the specific programming language or framework is not essential. Experience testing retries, timeouts, duplicate requests/events, integration failures, and recovery scenarios. Understanding of HTTP, JSON, REST, and authentication/authorization mechanisms. Experience analyzing logs and identifying root causes of defects in distributed systems. Knowledge of test design techniques. Experience validating data consistency across APIs, Kafka, and databases. Level of English – from Intermediate and above. Nice to haves: Experience working on banking, payment, or fintech projects. Understanding of the payment transaction lifecycle and payment system principles. Experience with test automation using Go, Python, Postman/Newman, REST Assured, or similar tools. Experience testing iOS and Android mobile applications. Understanding of Docker and Kubernetes. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. The opportunity to change the project and/or develop expertise in an interesting business domain. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. Private health insurance and sports compensation, depending on the type of employment.

Ищем Junior Customer Support Specialist в команду Panoramik Games! Страстный подход к работе и любовь к играм? Это про нас! Мы уже знаем, как делать крутые игры эффективно и по-простому, и теперь хотим, чтобы они стали культовыми! Customer Support Specialist — это тот, кто заботится о наших игроках, отвечает на их вопросы, решает проблемы и создает связь между игроками и разработчиками. Ведь крутых игр не бывает без этой связи. Требования Английский язык не ниже Upper-Intermediate. Ты любишь игры и в курсе последних трендов. Самостоятельность, обучаемость, ответственность Обязанности Ты будешь надежной опорой для наших игроков, используя инструменты и текстовые каналы связи, включая почту, Discord и саму игру. Запросы игроков мы обрабатываем с помощью CRM Zendesk. Мы обучим тебя работе с Unity и решению проблем игроков с его помощью. А также по ночам и выходным ты будешь следить за состоянием серверов нашей игры и инициировать восстановление работоспособности, если что-то пойдет не так. И не волнуйся, мы не бросим тебя в неизвестность. Ты будешь обучаться под руководством наставника. Формат работы Удаленный Сменный график 2/2 по 12 часов с возможностью договориться на 3/3 или 4/4 (50% смен ночные). Первый месяц работы — обучение по стандартному графику 5/2. Почему с нами классно: Мы работаем в скилловом коллективе и обмениваемся опытом на митапах, креативных брейнштормах. У нас регулярные фидбэк-сессии, и каждый сотрудник важен. Мы проводим досуг вместе: посещаем музеи, занимаемся спортом и устраиваем внутренние турниры. Мы предоставляем все стандартные бенефиты IT-компаний, включая компенсацию занятий иностранными языками, 100% оплату больничных, корпоративы и внутренний коучинг. Возможность вырасти в QA, геймдизайн, проектный менеджмент и другие роли через 1.5–2 года. Всё зависит от тебя, как ты проявишь себя. Мы ценим самостоятельность, инициативность и смелость!

We are looking for an Android Developer (Kotlin) in Kazakhstan (hybrid, with office attendance) to join an international software development and outsourcing company and work on a project developing a next-generation banking platform and new mobile app on microservices architecture. Andersen is a pre-IPO software development company providing a full cycle of services. For over 19 years, we have been helping enterprises and middle-sized firms worldwide transform their businesses by creating effective digital solutions using innovative technologies. Today, we are working with organizations from various parts of the world, including North America, Western Europe, Israel, Australia, and the UAE. The project is focused on developing a next-generation banking platform built on microservices architecture. It is in an active phase of development and growth, aimed at attracting new clients, launching a new mobile application, and migrating users to the new solution. Responsibilities: Developing and enhancing new and existing products. Optimizing application performance. Integrating with external APIs. Testing and documenting code. Collaborating with the team on tasks. Learning new technologies and continuously improving personal expertise. Participating in all team activities. Following documented processes. Taking ownership of the team's technical tasks and conducting code reviews. Participating in architectural decision-making. Independently decomposing tasks, estimating efforts, and participating in planning. Participating in code reviews and mentoring. Requirements: Experience in mobile development for 3+ years. Experience in the fintech domain. Strong proficiency in Kotlin, including advanced language features. Experience working with Clean Architecture, as well as MVI and Redux/TEA architectural approaches. Deep understanding and hands-on experience with Coroutines and Flow. Knowledge and practical application of design patterns. Experience developing UI with Jetpack Compose. Experience working with GitLab CI/CD or similar automation tools. Understanding of mobile application performance optimization principles. Experience in team-based development and understanding of Agile/Scrum methodologies. Proactive mindset with the ability to initiate and drive processes. Readiness to make architectural decisions and propose improvements within current projects. Openness to feedback and constructive criticism. Level of English – from Intermediate+ and above. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc. The opportunity to change the project and/or develop expertise in an interesting business domain. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. English courses. Private health insurance and compensation for sports activities.

We are looking for an ML Engineer in the EU to join an international software development and outsourcing company and work on a project focused on designing, training, and deploying scalable machine learning models, building ML pipelines, and supporting production-ready AI solutions in an international tech environment. Andersen is a pre-IPO software development company providing a full cycle of services. For over 19 years, we have been helping enterprises and middle-sized firms worldwide transform their businesses by creating effective digital solutions using innovative technologies. Our company operates across a global network of 16 development centers, strategically located in North America, Western and Central Europe, the Middle East, and the Asia-Pacific region. With a strong team of over 3,500 highly skilled professionals, we combine deep domain expertise and advanced technical capabilities to consistently deliver exceptional results for our clients. Responsibilities: Designing, training, and evaluating machine learning models (supervised, unsupervised, NLP, etc.). Building scalable data and ML pipelines using modern tools. Collaborating with subject matter experts and analysts to prepare training datasets. Deploying models for production (batch or real-time inference). Monitoring and maintaining model performance and data quality. Optimizing models for performance, interpretability, and cost. Documenting ML workflows and ensuring reproducibility. Requirements: Experience as a Machine Learning Engineer or in a similar role for 2+ years. Proficiency in Python, including hands-on experience with libraries such as scikit-learn, pandas, NumPy, and matplotlib. Strong understanding of core ML concepts – regression, classification, clustering, model validation, and performance metrics. Practical experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Proven experience building, training, and deploying ML models using AWS SageMaker. Familiarity with AWS Bedrock for working with foundation and generative models (e.g., fine-tuning and orchestration of LLMs). Hands-on experience with data preprocessing, feature engineering, and model evaluation. Knowledge of SQL and experience working with structured and semi-structured datasets. Understanding of ML model deployment (e.g., REST APIs with FastAPI or Flask; model packaging and containerization with Docker). Exposure to MLOps practices – pipeline automation, model versioning, monitoring, and reproducibility. Familiarity with version control systems (e.g., Git). Strong analytical thinking, communication, and problem-solving skills. Willingness to stay current with emerging ML techniques, frameworks, and cloud AI tools. Level of English – from Upper-Intermediate and above. Level of German – from Intermediate+ and above. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc. The opportunity to change the project and/or develop expertise in an interesting business domain. Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. English courses. Private health insurance and compensation for sports activities.

Описание Страстный подход к работе и любовь к играм? Это про нас! Мы уже знаем, как делать крутые игры эффективно и по-простому, и теперь хотим, чтобы они стали культовыми! Customer Support Specialist — это тот, кто заботится о наших игроках, отвечает на их вопросы, решает проблемы и создает связь между игроками и разработчиками. Ведь крутых игр не бывает без этой связи. Требования Английский язык не ниже Upper-Intermediate. Ты любишь игры и в курсе последних трендов. Самостоятельность, обучаемость, ответственность Обязанности Ты будешь надежной опорой для наших игроков, используя инструменты и текстовые каналы связи, включая почту, Discord и саму игру. Запросы игроков мы обрабатываем с помощью CRM Zendesk. Мы обучим тебя работе с Unity и решению проблем игроков с его помощью. А также по ночам и выходным ты будешь следить за состоянием серверов нашей игры и инициировать восстановление работоспособности, если что-то пойдет не так. И не волнуйся, мы не бросим тебя в неизвестность. Ты будешь обучаться под руководством наставника. Условия Формат работы Удаленный Сменный график 2/2 по 12 часов с возможностью договориться на 3/3 или 4/4 (50% смен ночные). Первый месяц работы — обучение по стандартному графику 5/2. Почему с нами классно: Мы работаем в скилловом коллективе и обмениваемся опытом на митапах, креативных брейнштормах. У нас регулярные фидбэк-сессии, и каждый сотрудник важен. Мы проводим досуг вместе: посещаем музеи, занимаемся спортом и устраиваем внутренние турниры. Мы предоставляем все стандартные бенефиты IT-компаний, включая компенсацию занятий иностранными языками, 100% оплату больничных, корпоративы, классный офис и внутренний коучинг. Возможность вырасти в QA, геймдизайн, проектный менеджмент и другие роли через 1.5–2 года. Всё зависит от тебя, как ты проявишь себя. Мы ценим самостоятельность, инициативность и смелость!

We are looking for a Data Scientist in Poland to join an international software development and outsourcing company and work on a project developing a large-scale media intelligence platform and delivering AI-powered audience analytics solutions. The company is a global technology provider delivering data analytics and AI-powered solutions that help organizations better understand customer behavior, optimize marketing performance, and make informed business decisions. By transforming large volumes of data into actionable insights, it enables enterprises to improve audience engagement, measure the effectiveness of their initiatives, and enhance decision-making. The company works with a diverse range of customers, supporting them in navigating an increasingly data-driven and rapidly evolving digital landscape. The project is focused on developing a large-scale media intelligence platform that analyzes consumer engagement across TV, digital, and connected devices. It leverages real-time, consented data to deliver audience insights, content analytics, and data-driven solutions for media and advertising. Responsibilities: - Owning end-to-end delivery of significant data science projects — from problem scoping and approach design through to production deployment. - Making sound, independently-reasoned decisions on methodology, model selection, and evaluation; documenting them clearly in technical solution documents covering problem statement, approach, metrics, and timeline. - Leading solution design for your own initiatives. - Breaking down complex epics into well-scoped user stories with clear acceptance criteria, adopting DataOps and MLOps best practices throughout — experiment tracking, pipeline orchestration, model monitoring, and reproducibility. - Building production-quality Python and PySpark code on Databricks — well-tested, documented, and reusable — and implement advanced ML and AI-powered workflows including entity resolution, probabilistic record linkage, embedding-based matching, semantic similarity, and LLM-augmented pipelines. - Developing and maintaining reusable tools, libraries, and documentation that improve team efficiency and technical standards. - Conducting code reviews with constructive, specific feedback that raises the bar. - Mentoring junior data scientists on technical execution, code quality, and career development. - Leading internal talks or workshops on ML topics. - Collaborating cross-functionally with product, engineering, and operations — translating business requirements into technical specifications, partner with data engineering on scalable pipeline design, and participate in cross-functional design reviews and working groups. Must-haves: - Hands-on experience in Data Science, including ownership of complex, multi-sprint projects for 3+ years. - Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or another quantitative field (Master's degree preferred). - Advanced proficiency in Python, including writing production-quality, well-tested, and well-documented code. - Strong experience with SQL and PySpark, including processing datasets at billion-row scale. - Hands-on experience with Databricks, including Workflows, Delta Lake, and job orchestration. - Working knowledge of AWS or Google Cloud Platform (GCP). - Strong foundation in Machine Learning, including regression, classification, clustering, model evaluation, and experimental design. - Experience with MLOps practices, including experiment tracking, Airflow-based pipeline orchestration, and reproducible model deployment. - Familiarity with modern AI technologies, including Retrieval-Augmented Generation (RAG), LLM-based applications, vector databases, and semantic search. - Strong written and verbal communication skills, including technical documentation, user story creation, and cross-functional collaboration. - Level of English – from Intermediate+ and above. Nice to have: - Knowledge graph construction, entity resolution, or semantic data modeling (RDF, OWL, SPARQL, or equivalent). - Experience with probabilistic record linkage, identity graph approaches, and embedding-based entity matching at scale. - Experience with causal inference methods, including A/B testing, synthetic control, and uplift modeling. - Experience with deduplication, data enrichment, or web-to-TV linkage problems. - Background in media, ad tech, or measurement specifically: TV viewership (ACR/STB data), digital audience modeling, cross-platform measurement (linear + CTV/OTT), identity resolution in privacy-constrained environments. - Familiarity with the measurement/identity vendor landscape: Nielsen, Comscore, LiveRamp, The Trade Desk. Reasons why this job would be interesting to you: - Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. - The opportunity to change the project and/or develop expertise in an interesting business domain. - Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. - Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. - The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. - Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. - Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). - Certification compensation (AWS, PMP, etc). - Referral program. - Private health insurance and sports compensation, depending on the type of employment. - Employment Contract/ B2B.

We are looking for a System Analyst with PO experience to join an international software development and outsourcing company and work on a project building enterprise integrations, automating workflows, and supporting digital transformation initiatives. Our customer is an international organization operating in the financial and protection services domain. The company provides a diverse portfolio of customer-oriented solutions across multiple business areas and markets. With a strong focus on digital capabilities, operational excellence, and long-term development, the organization continuously invests in technology, process improvement, and service innovation to support evolving customer and business needs. The project is focused on designing and implementing an integration layer that connects multiple business systems and digital services. It includes building integrations for insurance and customer service workflows, enabling seamless data exchange, process automation, and alignment with the overall enterprise integration strategy. Responsibilities: Capturing, analyzing, and documenting business, user, and functional requirements. Translating business needs into clear, implementable technical specifications. Creating user stories, acceptance criteria, and detailed documentation. Modelling business processes (BPMN), design solutions, and build prototypes. Supporting backlog refinement with detailed requirement elaboration. Facilitating communication between stakeholders and development teams. Owning product vision, goals, and success metrics. Defining and managing roadmap, backlog, and priorities. Making scope and trade-off decisions (value vs risks vs constraints). Ensuring backlog readiness and alignment with business goals. Actively engaging stakeholders and align expectations. Leading demos, reviews, and validating delivered increments (DoD). Monitoring KPIs, customer feedback, and product performance. Managing risks, dependencies, and escalations. Ensuring compliance (legal, data privacy, security). Driving Agile/Lean practices and continuous improvement. Requirements: Experience as a System Analyst for 3.5+ years. Experience as a Product Owner. Experience with UML, BPMN, Jira, Confluence, and Draw.io for requirements management and process modeling. Strong SQL skills and experience working with PostgreSQL or similar relational databases. Hands-on experience with REST APIs, SOAP, SFTP, OpenAPI/Swagger, and Postman. Understanding of microservices architecture, distributed systems, and gRPC. Experience with Camunda or similar workflow/process automation platforms. Familiarity with ELK Stack for log analysis and troubleshooting. Experience with Git and a solid understanding of the Software Development Lifecycle (SDLC). Strong analytical thinking and systems understanding. Problem-solving and troubleshooting mindset. Level of English – from Upper-Intermediate and above. Reasons why this job would be interesting to you: We cooperates with such businesses as Samsung, Reuter Gruppe, T-Systems, TUI, Ryanair, Johnson & Johnson, etc. This project is just your beginning here – working with us means reliability and prospects. We have been strengthening our expertise since 2007. During this time, we have formed an excellent BA & SA team with streamlined processes, which now consists of more than 200 qualified analysts. We welcome specialists from every part of the world. Salaries at Andersen are pegged to the USD, and our employees are provided with a benefit package and an extensive set of bonuses. We give our employees an opportunity to attend and participate in the company's BA meetups, as well as offer a compensation program for international professional certificates. There are many different ways to grow and develop at our company. You can improve as a tech specialist or a resource manager, and all your activities will be decently rewarded. You will have an opportunity to take on the role of a mentor and help a group of BA/SA beginners grow. Our employees have access to Andersen Knowledge Base, where they can take courses in a variety of areas: the art of negotiation, PreSale & Discovery, Agile essentials, product ownership, microservice architecture, API design, SQL, AWS, GDPR, UX/UI, people management, and more.

We are looking for a Go Developer to join an international software development and outsourcing company and work on a project developing a global digital platform and delivering scalable backend solutions for the insurance and assistance industry. Our customer is an international organization operating in the financial and protection services domain. The company provides a diverse portfolio of customer-oriented solutions across multiple business areas and markets. With a strong focus on digital capabilities, operational excellence, and long-term development, the organization continuously invests in technology, process improvement, and service innovation to support evolving customer and business needs. The project is focused on developing and enhancing a global digital platform for the insurance and assistance industry. It supports travel, automotive, health, and assistance services by delivering scalable, reliable solutions that improve customer experience and streamline business operations. Responsibilities: Build and evolve a real-time cross-selling platform for personalized insurance offers. Own backend systems for multiple user-facing apps using gRPC-based microservices. Design and maintain REST/gRPC APIs for core insurance platforms and third-party services. Manage transactional data in PostgreSQL, including policies and claims. Implement event-driven workflows with RabbitMQ or Kafka. Write and maintain unit and integration tests, focusing on monetary calculations. Monitor services with Grafana/Prometheus to catch issues proactively. Participate in code reviews and contribute to platform design and development. Collaborate with Business Analysts, QA, and DevOps in an Agile/Scrum framework. Requirements: 5+ years of commercial development experience, with 3+ years in Go. Higher education in Computer Science or related fields. Extensive experience with AI implementation and configuration. Background in fintech or banking domains with complex integrations. Strong skills in concurrency, microservice architecture, and containerization. Proficiency in PostgreSQL, RabbitMQ or Kafka, and REST API design. Experience with Grafana and Prometheus for monitoring. Familiarity with Agile/Scrum environments. English level: Upper-Intermediate or above. Reasons why this job would be interesting to you: Flexible work conditions: remote, office, or hybrid options available. Opportunities for professional, financial, and career growth. Mentoring and adaptation systems for new employees. Potential to earn up to an additional $1,000 per month in bonuses. Access to a corporate training portal and certification compensation. Bright corporate life with events and activities. Private health insurance and sports activity compensation.