A-LISTWARE

Our Customer:

A technology product company focused on developing modern web applications and delivering high-quality software solutions to users worldwide.

Your Tasks:

• Develop and maintain automated UI and API tests for new and existing features
• Improve the reliability, coverage and maintainability of the automated test suite
• Evolve the testing infrastructure that supports stable and predictable releases
• Run automated regression tests and investigate test failures
• Collaborate with Development and QA teams to resolve identified issues
• Partner with developers and QA engineers to understand new features, identify risks and define effective test scenarios
• Integrate automated tests into CI/CD pipelines
• Run backend load tests with k6 to identify performance bottlenecks
• Apply AI tools to support test development, debugging and maintenance

Required Experience and Skills:

• 3+ years of experience in QA Automation, including hands-on development and maintenance of automated tests
• Strong programming skills in JavaScript or TypeScript
• Hands-on experience with Playwright
• Strong test design skills across UI and API testing
• Proven ability to investigate automated test failures and identify their root cause
• Hands-on experience integrating automated tests into CI/CD pipelines using GitHub Actions or CircleCI
• Hands-on experience using AI tools for coding, debugging and test development
• Strong communication skills and the ability to collaborate with global stakeholders
• English – Upper-Intermediate and higher

Would Be a Plus:

• Hands-on experience with k6 for load testing
• Working knowledge of AWS infrastructure

Our Customer:

Our customer develops AI-powered voice and SaaS solutions that connect intelligent bots and agents with communication platforms. The engineering environment combines modern test automation technologies with AI-assisted development practices across cloud-based and on-premises solutions.

Your Tasks:

• Design, develop, and maintain automated tests using Python and Pytest.
• Incorporate AI-assisted development tools into daily testing and engineering activities.
• Design and apply AI-driven workflows and agents to support test development, analysis, troubleshooting, and automation.
• Collaborate with developers and other R&D team members throughout the software development lifecycle.
• Build and maintain test automation infrastructure and frameworks.
• Perform manual testing when required and identify areas where testing can be effectively automated.
• Investigate test failures, analyze logs and system behavior, and distinguish between product-related and automation-related issues.
• Contribute to improving the reliability and effectiveness of automated testing processes.

Required Experience and Skills:

• 3+ years of experience in QA Automation or Software Automation.
• Strong programming skills with hands-on experience in Python.
• Hands-on experience with AI-assisted development tools.
• Practical experience using AI as part of software development or testing workflows, including AI agents, AI-driven workflows, code generation, analysis, and automation.
• Ability to work effectively with AI tools through prompting, context management, validation of generated output, and iterative workflows.
• Hands-on experience with Pytest and automated testing frameworks.
• Experience with UI and/or API test automation.
• Experience with Git and Linux.
• Experience with Docker.
• Experience with cloud technologies; Azure is preferred.
• Strong debugging, troubleshooting, and research skills.
• Ability to understand complex systems and translate requirements into effective automated test coverage.
• Ability to learn independently and adopt new technologies.
• Good written and verbal communication skills.
• Fluent English.

Would Be a Plus:

• Experience with Playwright.
• Knowledge of LLMs and AI agents.
• Experience with Voice Bots.
• Experience with CI/CD pipelines.
• Kubernetes.
• Microservices architectures.
• SIP/VoIP.
• SaaS platforms.
• Experience testing AI-powered applications.

Our Customer:

Our customer is a technology company developing data-driven solutions for digital advertising and real-time campaign optimization. The team works with large-scale data and Machine Learning to support automated advertising decisions and improve campaign performance.

Your tasks:

• Develop, improve, and operate ML models used in production advertising systems.
• Work on ML problems related to bidding, bid optimization, and real-time advertising decision-making.
• Develop models for CTR/CVR prediction.
• Optimize campaign performance, budget allocation, and pacing.
• Work on ranking and decisioning models for advertising systems.
• Analyze large-scale advertising data and identify opportunities for optimization.
• Translate business and advertising problems into practical Data Science / ML solutions.
• Evaluate model performance and business impact using relevant advertising KPIs.
• Conduct experiments and A/B testing to validate and improve ML solutions.
• Collaborate with engineering and product teams to deploy and continuously improve production models.

Required experience and skills:

• 5+ years of commercial experience in Data Science / Applied Machine Learning.
• Hands-on experience in AdTech / Programmatic Advertising.
• Direct experience with RTB / real-time bidding systems.
• Commercial experience applying ML/Data Science to advertising optimization.
• Hands-on experience with bidding or bid optimization.
• Experience with CTR/CVR prediction, campaign optimization, ranking, pacing, budget allocation, or advertising decisioning.
• Experience developing, improving, or operating ML models in production.
• Strong Python skills.
• Strong SQL skills and experience working with large-scale datasets.
• Experience translating business problems into ML/Data Science solutions.
• Strong analytical and problem-solving skills.
• Strong English communication skills.

Would be a plus:

• Experience with DSP platforms.
• Experience with bidder logic, bidding algorithms, or bid-price optimization.
• Knowledge of OpenRTB and auction dynamics.
• Experience with real-time decisioning or pre-bid optimization/filtering.
• Experience with user acquisition, retargeting, or performance advertising.
• Experience with large-scale real-time ML.
• Experience with online experimentation / A/B testing.
• Experience with contextual bandits, online learning, or reinforcement learning.

Our Customer:

Our client is a global technology company developing an advanced cloud platform for AI-powered voice communication. Their product enables organizations to build, integrate, and deploy intelligent voice services by combining modern AI technologies, large language models, and enterprise-grade communication infrastructure. The engineering team focuses on creating scalable, cloud-native SaaS solutions that process real-time interactions while maintaining high performance, reliability, and security.

Your tasks:

• Design and develop new product features across both backend and frontend components.
• Build scalable backend services using modern .NET technologies.
• Develop responsive Single Page Applications using the latest React ecosystem.
• Design and integrate REST and GraphQL APIs.
• Work with relational and NoSQL databases while ensuring data consistency and performance.
• Participate in designing microservices-based architecture and distributed systems.
• Collaborate with product managers, architects, and other engineers throughout the entire development lifecycle.
• Leverage AI-assisted development tools (such as Claude, GitHub Copilot, etc.) to improve productivity while maintaining full
• ownership and understanding of the implementation.
• Write clean, maintainable, and well-tested code following modern engineering best practices.
• Contribute to architecture discussions, code reviews, and continuous product improvements.

Required experience and skills:

• 3+ years of commercial experience in Full Stack development.
• Strong experience with modern C#, .NET Core, and ASP.NET Core.
• Solid hands-on experience with the latest versions of React, including Functional Components, Hooks, and modern state management.
• Experience building Single Page Applications (SPA).
• Strong knowledge of Entity Framework.
• Experience designing and developing microservices-based applications.
• Practical experience with REST APIs and GraphQL.
• Experience with SQL and NoSQL databases (SQL Server, PostgreSQL, MongoDB, or similar).
• Good understanding of asynchronous programming, distributed systems, and cloud-native application development.
• Experience using AI-assisted development tools (Claude, GitHub Copilot, or similar) as part of the software development workflow.
• Ability to explain architectural decisions, coding approaches, and engineering best practices independently, without relying solely on AI-generated code.
• Strong analytical thinking, problem-solving skills, and ownership mindset.
• Experience working in Agile development environments.
• Upper-Intermediate (B2) or higher level of English.

Would be a plus:

• Experience with Docker and CI/CD pipelines.
• Experience with Azure and Azure Kubernetes Service (AKS).
• Knowledge of cloud-native SaaS architecture.
• Experience with high-load or real-time communication systems.
• Familiarity with modern software architecture patterns and system design.
• Experience participating in technical design discussions and architectural decision-making.

Our Customer:

Our customer is a technology company developing data-driven solutions for digital advertising and real-time campaign optimization. The team works with large-scale data and Machine Learning to support automated advertising decisions and improve campaign performance.

Your tasks:

• Develop, improve, and operate ML models used in production advertising systems.
• Work on ML problems related to bidding, bid optimization, and real-time advertising decision-making.
• Develop models for CTR/CVR prediction.
• Optimize campaign performance, budget allocation, and pacing.
• Work on ranking and decisioning models for advertising systems.
• Analyze large-scale advertising data and identify opportunities for optimization.
• Translate business and advertising problems into practical Data Science / ML solutions.
• Evaluate model performance and business impact using relevant advertising KPIs.
• Conduct experiments and A/B testing to validate and improve ML solutions.
• Collaborate with engineering and product teams to deploy and continuously improve production models.

Required experience and skills:

• 5+ years of commercial experience in Data Science / Applied Machine Learning.
• Hands-on experience in AdTech / Programmatic Advertising.
• Direct experience with RTB / real-time bidding systems.
• Commercial experience applying ML/Data Science to advertising optimization.
• Hands-on experience with bidding or bid optimization.
• Experience with CTR/CVR prediction, campaign optimization, ranking, pacing, budget allocation, or advertising decisioning.
• Experience developing, improving, or operating ML models in production.
• Strong Python skills.
• Strong SQL skills and experience working with large-scale datasets.
• Experience translating business problems into ML/Data Science solutions.
• Strong analytical and problem-solving skills.
• Strong English communication skills.

Would be a plus:

• Experience with DSP platforms.
• Experience with bidder logic, bidding algorithms, or bid-price optimization.
• Knowledge of OpenRTB and auction dynamics.
• Experience with real-time decisioning or pre-bid optimization/filtering.
• Experience with user acquisition, retargeting, or performance advertising.
• Experience with large-scale real-time ML.
• Experience with online experimentation / A/B testing.
• Experience with contextual bandits, online learning, or reinforcement learning.

Our Customer:

A global product company in the cybersecurity domain, focused on helping organizations identify and reduce risks across modern IT environments.

Your Tasks:

• Develop and maintain production features across the full stack, from the React UI through the API to the database.
• Design, maintain and troubleshoot Node.js and TypeScript backend services and production APIs.
• Maintain and enhance the React front end, including modern React patterns, data flow and UI performance.
• Own the data access layer in Node.js/TypeScript, keeping control over generated SQL and performance-critical behavior.
• Design and evolve database schemas, relationships, constraints and data integrity rules.
• Diagnose and optimize slow queries and production bottlenecks using execution plans and index analysis.
• Plan and execute production database migrations with backward compatibility and minimal downtime.
• Trace and resolve production incidents across the UI, API, data access layer and database.
• Interface directly with the international client and engineering team in live technical discussions.
• Deliver high-quality, resilient software updates with limited supervision.

Required Experience and Skills:

• 8+ years of professional software engineering experience, including recent hands-on full-stack work in production systems.
• Strong hands-on experience with Node.js and Node.js frameworks such as NestJS or Hapi.js.
• Expert-level knowledge of TypeScript in both backend services and data access layers.
• Strong production experience with React, including modern React patterns and state and data flow.
• Hands-on experience with state management libraries (MobX or Redux).
• Strong practical SQL skills, preferably with PostgreSQL.
• Hands-on experience with complex JOINs, aggregations and filtering on large datasets.
• Proven ability to diagnose slow queries using EXPLAIN and ANALYZE, execution plans and index effectiveness validation.
• Experience designing and maintaining data access layers with query builders or ORM tools.
• Practical experience with schema design, normalization and denormalization decisions, constraints and data integrity.
• Hands-on experience with multi-step transactional operations, rollback behavior, race conditions and transaction isolation trade-offs.
• Experience with production database migrations, schema versioning, backward-compatible changes and zero-downtime deployment approaches.
• Strong REST API experience, including over-fetching, N+1 problems, latency and efficient mapping of database data into API responses.
• Demonstrated ability to trace production issues across the UI, API, data access layer and database.
• Experience in production environments with large record volumes and high load.
• Experience working in an Agile environment, maintaining code quality through peer reviews and testing.
• Proven ability to work autonomously, clarify requirements and drive tasks to completion without continuous follow-up.
• Proven ability to take ownership of outcomes across the full stack rather than a single component.
• Proven ability to raise risks, blockers and missing information early and provide clear status updates.
• Ability to enter an existing codebase and domain, absorb context quickly and adapt to established engineering practices.
• Ability to receive direct feedback, discuss disagreements professionally and adjust quickly.
• English – Upper-Intermediate

Would Be a Plus:

• Hands-on experience with GraphQL schemas, resolvers and integration
• Experience with Next.js and server-side rendering
• Experience with stored procedures and database-side performance-critical logic
• Experience with Redis and caching strategies that reduce unnecessary database load
• Experience with AWS and cloud-based production environments
• Exposure to Docker, Kubernetes and CI/CD pipelines
• Background in cybersecurity or identity management
• Experience with large-scale identity data (Active Directory or Entra ID)
• Experience with data-intensive, analytics or enterprise high-load products

Our Customer:

Our customer develops specialized software products for professional business workflows. The engineering team works on established production applications and is looking for a full-stack engineer who can contribute across both frontend and backend development.

Your Tasks:

• Develop and maintain full-stack applications across React/TypeScript frontend and C# backend.
• Work on medium and large-scale production applications throughout the development lifecycle.
• Develop and maintain frontend functionality using React, including both Hooks and class-based components.
• Build and maintain backend functionality using ASP.NET MVC and Web API on the classic .NET Framework.
• Investigate, debug, trace, and resolve complex frontend and server-side issues.
• Apply software engineering principles, design patterns, and clean development practices.
• Quickly learn and adopt new technologies when required.
• Work independently while contributing across the full technology stack.

Required Experience and Skills:

• 3+ years of experience working with medium or large-scale React applications.
• 2+ years of experience working with medium or large ASP.NET MVC or Web API applications.
• Strong knowledge of React Hooks and classic class-based components.
• Strong TypeScript skills.
• Good understanding of core web technologies, including JavaScript, XHTML, and CSS.
• Production experience with Redux, Redux Saga, and Immutable.js.
• Strong frontend debugging and problem analysis skills.
• Hands-on experience with the classic .NET Framework; working experience with .NET Core is not required, but solid knowledge of .NET Core is required.
• Strong knowledge of C#, OOP, SOLID principles, design patterns, reflection, and algorithms.
• Strong understanding of XML and JSON serialization.
• Ability to debug, trace, and resolve complex server-side issues.
• Strong ability to learn new technologies quickly and work independently.
• University degree in Computer Science or a related field, or equivalent industry experience.
• Excellent English.

Would Be a Plus:

• Experience with AWS services such as SQS, EKS, and Fargate.
• Experience with cloud-oriented systems.
• Experience with Kubernetes.
• Experience with Node.js.
• Knowledge of nw.js or similar technologies.

Our Customer:

A global product company in the cybersecurity domain, focused on helping organizations identify and reduce risks across modern IT environments.

Your Tasks:

• Develop and maintain production features across the full stack, from the React UI through the API to the database.
• Design, maintain and troubleshoot Node.js and TypeScript backend services and production APIs.
• Maintain and enhance the React front end, including modern React patterns, data flow and UI performance.
• Own the data access layer in Node.js/TypeScript, keeping control over generated SQL and performance-critical behavior.
• Design and evolve database schemas, relationships, constraints and data integrity rules.
• Diagnose and optimize slow queries and production bottlenecks using execution plans and index analysis.
• Plan and execute production database migrations with backward compatibility and minimal downtime.
• Trace and resolve production incidents across the UI, API, data access layer and database.
• Interface directly with the international client and engineering team in live technical discussions.
• Deliver high-quality, resilient software updates with limited supervision.

Required Experience and Skills:

• 8+ years of professional software engineering experience, including recent hands-on full-stack work in production systems.
• Strong hands-on experience with Node.js and Node.js frameworks such as NestJS or Hapi.js.
• Expert-level knowledge of TypeScript in both backend services and data access layers.
• Strong production experience with React, including modern React patterns and state and data flow.
• Hands-on experience with state management libraries (MobX or Redux).
• Strong practical SQL skills, preferably with PostgreSQL.
• Hands-on experience with complex JOINs, aggregations and filtering on large datasets.
• Proven ability to diagnose slow queries using EXPLAIN and ANALYZE, execution plans and index effectiveness validation.
• Experience designing and maintaining data access layers with query builders or ORM tools.
• Practical experience with schema design, normalization and denormalization decisions, constraints and data integrity.
• Hands-on experience with multi-step transactional operations, rollback behavior, race conditions and transaction isolation trade-offs.
• Experience with production database migrations, schema versioning, backward-compatible changes and zero-downtime deployment approaches.
• Strong REST API experience, including over-fetching, N+1 problems, latency and efficient mapping of database data into API responses.
• Demonstrated ability to trace production issues across the UI, API, data access layer and database.
• Experience in production environments with large record volumes and high load.
• Experience working in an Agile environment, maintaining code quality through peer reviews and testing.
• Proven ability to work autonomously, clarify requirements and drive tasks to completion without continuous follow-up.
• Proven ability to take ownership of outcomes across the full stack rather than a single component.
• Proven ability to raise risks, blockers and missing information early and provide clear status updates.
• Ability to enter an existing codebase and domain, absorb context quickly and adapt to established engineering practices.
• Ability to receive direct feedback, discuss disagreements professionally and adjust quickly.
• English – Upper-Intermediate

Would Be a Plus:

• Hands-on experience with GraphQL schemas, resolvers and integration
• Experience with Next.js and server-side rendering
• Experience with stored procedures and database-side performance-critical logic
• Experience with Redis and caching strategies that reduce unnecessary database load
• Experience with AWS and cloud-based production environments
• Exposure to Docker, Kubernetes and CI/CD pipelines
• Background in cybersecurity or identity management
• Experience with large-scale identity data (Active Directory or Entra ID)
• Experience with data-intensive, analytics or enterprise high-load products

Working conditions

5-day working week, 8-hour working day;

Remote work.