Jobs QA Automation

Softwarium is looking for a QA Automation Engineer (JavaScript) to join our development team. We offer a full-time remote position with a fast and transparent recruitment process.
We develop software for customers in the US, Canada, and Norway across the education, healthcare, energy, and security domains.

Project details:
The project is for a customer based in Stavanger, Norway. It focuses on developing a product for data processing and graphical visualization in the oil industry.

Technologies: TypeScript, WebdriverIO, Azure DevOps.
Development Team: 3 Backend Developers, 3 Frontend Developers, Project Manager, Product Owner (based in Norway).
QA Team: 1 Junior QA (80% manual, 20% automation), You (100% automation).

Required Skills and Qualifications

- Strong hands-on experience with JavaScript-based automation frameworks (WebdriverIO, Cypress, Playwright)
- 5+ years of full-time experience in test automation
- Practical experience with Azure DevOps pipelines
- Experience with test case management tools such as TestRail or similar (we use Testiny.io)
- Experience in troubleshooting software/system issues and identifying root causes of failures in automated tests
- Ability to manage multiple tasks and priorities effectively
- Upper-Intermediate or higher English level (spoken and written)
- Ability to adapt to challenges and continuously improve processes in a fast-paced technical environment

Key Responsibilities
- Support and extend the existing UI and API automation framework (WebdriverIO + TypeScript + Jasmine)
- Maintain and improve CI/CD pipelines in Azure Releases (10 environments)
- Prepare and present weekly status reports to stakeholders

Working conditions

✍️ B2B contract
⚖️ Long-term cooperation
🏠 Possibility to work remotely or in the office (Kyiv)
🚀 Learning & Development program: a team of senior developers, individual budget for professional development (trainings and events, certification)
💶 You can always count on paid vacation, sick leave, and holidays

On behalf of our Client from Japan, Mobilunity is looking for a Senior Data Test Engineer

Our client is a fast-growing fintech company based in Tokyo that offers its real-time, monthly consolidated credit service all across Japan. Our client started Japan’s first instant post-pay credit service for e-commerce customers in October 2014. The main product is an online payment platform that requires no pre-registration or credit card to use; via this service, the customers can purchase products online using only a mobile phone number and email address and settle a single monthly bill for all their purchases, either at a convenience store, by bank transfer, or auto debit. Customers can use credit funds during a month and then return the balance to zero without paying credit interest.

This service also supports multi-pay installments and subscriptions. There are currently over 4 million accounts in use. This service got the largest investment to date in the Japanese financial tech industry, including a PayPal Ventures investment.

You will work closely with data engineers, analysts, and product stakeholders to validate both real-time data pipelines and batch reporting systems, ensuring that critical financial and operational data remains trustworthy at scale.

This role requires strong analytical thinking, curiosity for systems, and a passion for identifying and preventing data issues before they impact users or business operations.

Key  Responsibilities:

• Collaborate with stakeholders to gather reporting and product requirements and translate them into structured test strategies
• Design and implement automated tests to validate:
  • Data accuracy
  • Completeness
  • Consistency
  • Reliability across real-time pipelines and batch reporting systems
• Analyze test outputs and produce clear, actionable reports on data quality issues, anomalies, and trends
• Partner closely with data engineers, analysts, and developers to integrate testing into CI/CD and development workflows
• Continuously identify improvements in testing methodologies, tooling, and processes
• Experiment with new industry-standard testing tools and provide recommendations for adoption
• Proactively detect data issues and suggest preventive measures to improve system robustness
• Contribute to a culture of quality, ownership, and continuous learning across teams

Requirements:

• Experience working in cross-functional and cross-cultural engineering environments
• Strong experience with at least one programming language (e.g., Python, Scala, Ruby, or similar)
• Solid knowledge of SQL and relational database systems
• Experience testing data systems, pipelines, APIs, or backend services
• Strong analytical mindset with high attention to detail
• Ability to learn quickly and contribute to unfamiliar systems and domains
• Comfortable working in complex, fast-changing technical environments
• Strong communication skills in business-level English
• Willingness to share knowledge, learn continuously, and improve team practices

Nice to have:

• Experience working in security-sensitive or regulated environments (e.g., fintech, payments, banking)
• Experience with data pipelines, ETL processes, or streaming systems
• Familiarity with observability, monitoring, or data quality tools
• Experience working with distributed systems or event-driven architectures

• Exposure to automation frameworks for data validation or QA pipelines

  English:Upper-Intermediate

We invite a QA Automation Engineer to join our team for long-term cooperation. Gransoft develop an international health insurance portal. Our project has become especially important at this time.

Office Location: Uzhhorod or Gdansk

Requirements:

— 3+ years of experience in test automation 

— Experience with test automation using Java or Kotlin

— Experience in UI, API, load, regression testing for web and mobile applications

— Experience with end-to-end QA processes: strategy planning, case design, manual and automated testing, defect management, regression testing, release coordination 

— Advanced database testing using SQL (data validation, joins, complex queries)

— Experience with Jira, IDEA  and Bitbucket/Git

— Good written and spoken English

— Strong analytical skills, attention to detail, and ability to work effectively in a team

— Responsible attitude to the tasks and deadlines

— Work from office only.

We offer:

— Interesting and challenging project

— Creative and friendly atmosphere

— Our company policy is to welcome your ideas and suggestions

— An international team of experienced QA automation engineers

— Paid vacations and days off during national holidays

— Flexible work schedule

— 8-hour workday

— Office in Uzhhorod or Gdansk

— Paid English language courses

— The company provides relocation support and, if needed, assists with the moving process and finding accommodation.

More details could be given during an interview.

Please include your Telegram username in CV.
 

We're looking for a hands-on Fullstack QA Engineer who can operate comfortably as a manual tester and build/maintain automated suites using modern agentic AI practices to deliver fast, reliable regression and release confidence.

You'll collaborate closely with Product, BA, Engineering, and stakeholders, shaping test strategy, hardening quality gates, and improving confidence in complex data-heavy workflows.

Responsibilities

Test Strategy & Planning

• Translate requirements and acceptance criteria into risk-based test plans and coverage maps across UI, API, data, reports, formulas, and integrations.
• Define and evolve a pragmatic test pyramid: unit, API, UI, smoke/sanity, regression, and UAT.
• Create coverage around spreadsheet-driven validation, report parity, and key billing / reconciliation workflows.

Manual Testing

• Create and execute test cases for new features, bug fixes, report logic, filter combinations, and change requests.
• Perform exploratory testing to uncover edge cases in data-heavy workflows, calculations, and stakeholder-facing panels.
• Validate generated outputs against canonical XLSX workbooks, including formulas, filters, totals, and rollforward variance logic.
• Log high-quality defects with clear reproduction steps, impact, evidence, screenshots, and expected vs actual results.

Test Automation (agentic-AI-first)

• Build and maintain stable, reusable automated suites for smoke and regression using modern agentic AI practices.
• Help reduce slow manual spreadsheet comparison by contributing to automated parity checks and repeatable QA flows.
• Integrate automation into CI/CD with environment tagging, parallelization, and results gating.
• Expand coverage to API, data validation, and key business workflows.

Quality Operations

• Own test data management and environment readiness.
• Track and report quality KPIs such as defect escape rate, flaky test rate, regression coverage, and cycle time to fix.
• Maintain living documentation, including test plans, suites, runbooks, and QA reports.

Collaboration & Process

• Partner with Product and BA to clarify acceptance criteria and reduce ambiguity in stakeholder requirements.
• Participate in backlog grooming, design reviews, release readiness, and stakeholder review cycles.
• Coach teammates on writing testable stories and preventing regressions.
• Continuously improve test effectiveness and reduce manual repetition.

Requirements

• 4–6+ years of QA experience testing SaaS / web applications, including significant hands-on manual testing.
• 2+ years building and maintaining automation for UI and/or API — ideally using modern agentic AI practices and/or tools like Playwright, Cypress, Selenium, or Postman.
• Strong grasp of testing methodologies: functional, regression, smoke/sanity, exploratory, risk-based testing, and test case design.
• Experience validating data-heavy applications, reports, dashboards, formulas, filters, and spreadsheet-like business logic.
• Experience with bug tracking and test management tools such as Jira, TestRail, or Zephyr.
• Comfortable with browser devtools, basic SQL, logs, and evidence-based debugging.
• Clear communicator with a strong bias for reproducibility, documentation, and practical delivery.
• Familiarity with Agile practices and fast-paced iterative delivery.

Nice to Have

• Power-user experience with modern agentic AI practices for QA: prompt design, evaluation harnesses, data sets, custom functions, CI artifacts, and reporting dashboards.
• Experience building automated parity checks for spreadsheets, reports, financial calculations, or analytics dashboards.
• API testing depth with tools such as Postman, Insomnia, or newman.
• Exposure to regulated healthcare environments, HIPAA-aware workflows, PHI handling, audit discipline, and documentation rigor.
• Basic performance, reliability, and accessibility testing experience.
• Experience testing analytics, reconciliation, billing, finance, revenue operations, or healthcare operations systems.

Project

Our client is building an analytics and reconciliation platform for a multi-facility radiology billing operation. The system surfaces scan volume, revenue, declining referrals, unbilled MRIs, and rollforward variance for finance and operations teams.

The work is focused on documentation tracking, operational analytics, billing reconciliation, and report accuracy. The current goal is MVP implementation, with several UI components already completed and a strong need to improve QA around spreadsheet-driven reporting logic.

The project operates in a healthcare-adjacent regulated environment. 

We’re looking for a strong and hands-on QA Lead to join a fast-growing SportsTech / iGaming product company.

This role is ideal for someone who enjoys building QA processes from scratch, setting up automation infrastructure, improving product quality end-to-end, and bringing structure to fast-moving environments.

The company develops digital products in the sports betting and gaming space, including web, mobile, and backend platforms used by large-scale international audiences.

At the beginning, the role will be highly hands-on and technical, with the opportunity to gradually grow into a more strategic and managerial position — including building and leading a QA team over time.

Responsibilities:

• Own the QA direction and quality processes end-to-end.
• Build and improve QA workflows, standards, and automation infrastructure.
• Develop and maintain automated testing frameworks (Playwright preferred).
• Perform hands-on testing across web, mobile, and backend products.
• Collaborate closely with Engineering and DevOps teams.
• Ensure product stability, release quality, and testing scalability.
• Introduce structure, best practices, and continuous improvement processes.

• Participate in hiring, mentoring, and building the QA team over time.

   

Requirements:

• 4+ years of hands-on QA experience.
• Strong automation testing experience (4+ years is a strong advantage).
• Experience building automation frameworks and QA processes from scratch.
• Solid experience testing web, mobile, and backend systems.
• Experience with Playwright — significant advantage.
• 2+ years leading QA teams.
• Strong ownership mindset with the ability to work independently.
• Organized, proactive, and comfortable in fast-paced environments.
• Passion for building systems, improving workflows, and scaling QA processes.
• Strong communication and collaboration skills.

What we offer:

• Office-based role in Tel Aviv.
• Full-time position.
• Fast-paced product environment with direct impact on product quality and processes.
• Opportunity to grow into a managerial and team-building role.
• Performance-review.

Waiting for your CV :)

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

• 0+ years of experience
• Knowledge of Python programming
• Understanding of OOP principles
• Understanding and knowledge of computer networks and L2/L3 networking protocols
• Basic hands-on experience with Linux command-line
• Intermediate level of English
• High level of interpersonal skills. Ability to communicate effectively with different groups

Would be a plus:

• Experience in manual/auto software testing
• Experience in Linux/Network administration
• Experience with tools: TestRail, Jenkins, Jira, Git, BitBucket, WireShark
• Experience with PyTest framework
• Experience with Kubernetes, Docker
• Knowledge of SQL, Elasticsearch

Job responsibilities

• Native Ukrainian speaker, location – Ukraine
• Active collaboration with mentor
• Deep involvement in the commercial project workflow and practical tasks
• Design, implementation and maintenance of automation tests according to given requirements
• Develop in the existing automation infrastructure based on Python for complex embedded system
• Cooperate with SW, manual QA and other stakeholders from different countries

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.
 

Your impact:
 

• Perform automated testing of Back-End systems, including APIs (REST/GraphQL), and integrations.
• Cover regression scenarios, maintain and improve existing automated tests.
• Participate in load and performance testing activities, including creating test scenarios, analyzing results, and identifying potential bottlenecks.
• Analyze test results, investigate issues, and collaborate closely with cross-functional teams (Web, Mobile, DevOps).
• Participate in Agile processes, team meetings, and code reviews.
• Contribute to improving QA processes and test infrastructure, including usage of AI-powered tools in daily work.
   

About you:
 

• At least 2 years of hands-on experience in test automation.
• Practical experience with Back-End/API testing and solid understanding of client-server architecture.
• Experience with automation using Java and tools/frameworks such as JUnit, TestNG, REST Assured, or similar.
• Understanding of microservices architecture, asynchronous systems, and CI/CD processes.
• Experience working with Jira, Confluence, and Agile methodologies.
• Strong analytical thinking, attention to detail, debugging, and problem-solving skills.
• Practical usage of AI tools (ChatGPT, Claude, Copilot, etc.) in day-to-day work.
   

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.
An ambitious environment that gets recognized. Over the past two years, the BetterMe team has doubled in size, and we were named among Forbes’ Top 10 Best Places to Work in 2026.

Description

GlobalLogic is seeking a QA Automation Lead to drive the quality strategy for a high-impact medical technology project focused on frontend, backend, and mobile platforms. You will be responsible for defining the testing vision and establishing high-fidelity automation frameworks for a complex SaaS architecture in a regulated healthcare environment. This role involves spearheading the transition from legacy testing tools to modern technologies while ensuring the reliability of life-critical software.

Requirements

• Professional Experience: 8+ years of expertise in software test automation and quality engineering.
• Technical Proficiency: Deep understanding of modern tech stacks, including Vue (2 & 3), NodeJS, Python-based services, and multi-region architectures.
• Automation Expertise: Expert knowledge of Vitest and Playwright, with significant experience maintaining or migrating from Selenium.
• Regulated Industry Knowledge: Proven track record of delivering software within a regulated framework (e.g., medical devices or healthcare) is highly preferred.
• Performance Testing: Practical experience in load and stress testing to ensure platform stability.
• Communication & Mobility: Strong verbal and written communication skills, with the flexibility to travel to Poland for on-site collaboration when required.
• English: advanced.

Job responsibilities

• Test Strategy & Leadership: Define and implement a comprehensive test strategy, encompassing regression coverage, CI gating, and overall quality standards for the engineering team.
• Framework Modernization: Lead the technical evolution of the testing suite, transitioning from legacy Selenium environments to modern frameworks such as Vitest and Playwright.
• Performance Engineering: Establish performance baselines and manage load testing initiatives utilizing tools like Grafana k6.
• Quality Governance: Set the quality bar for all production-touching changes, ensuring that all deliverables pass strict internal review gates.
• Business Travel: Undertake periodic business trips to Poland as needed to facilitate team coordination, stakeholder alignment, and project planning.
• Technical Mentorship: Provide guidance on code reviews and quality standards for the engineering bench to ensure a high level of execution.

We're looking for a talented QA Automation Engineer to help us deliver reliable, high-quality products in the cybersecurity field.  You'll own the automation layer for our cybersecurity platform: designing test frameworks from scratch, running performance and load tests, and building realistic environments that mirror production. This isn't a "write test scripts and call it a day" role - you'll be shaping QA strategy and working deep in the stack.

What you'll do:

• Build and scale API & backend automation frameworks for a complex security platform
• Automate testing for detection, protection, and response workflows
• Design end-to-end test environments using Kubernetes (K8s)
• Own performance, load, and stress testing
• Embed automation into CI/CD pipelines alongside dev and DevOps teams

• Help define QA best practices and mentor engineers as we grow

   

What you bring:

• 3+ years in API/backend automation testing
• Strong hands-on with Postman/Newman, REST Assured, Playwright, or similar
• Performance testing chops (JMeter, Locust, k6)
• Experience with Kubernetes for test environment orchestration
• Cybersecurity product testing experience is required 
• Go programming experience - big plus
• Cloud (AWS/GCP/Azure) and GitOps familiarity is a bonus

What we offer:

• Competitive compensation based on your skills and experience
• Paid vacation, sick leave, and additional holidays
• Exciting projects with the newest technologies
• Accounting as a service

• Long-term employment

   

Our recruitment process:

•  Screening call (30 min)
• Interview with VP of R&D (45 min)
• Technical interview with QA TL (60 min)
• Reference checks

Timeline: We'll get back to you within one week of receiving your resume.

Requirements:

3+ years of software testing experience;

1+ year QA Automation(backend) using Python, 1 year of manual testing experience;

Strong L2/L3 networking expertise;

Strong knowledge of software QA methodologies, tools and processes;

Experience with testing of networks and embedded systems;

Good knowledge of Linux administration and shell scripting;

Solid knowledge of Python;

Experience with Python test frameworks (PyTest, etc.);

Upper-intermediate level of spoken and written English;

BS degree in Computer Science or related engineering degree.

Responsibilities:

Design and implement wide variety of test scripts;

Take part in test planning and estimation;

Extend functionality of Python test framework;

Adapt and create tools to support new features/hardware;

MQA lab setups maintaining;

Manual testing — 40%, Automation — 60%

Candidate needs to be in Kyiv (or consider relocation). Hybrid type of work.

What do we offer:

International work environment and work with global development teams;

Excellent work conditions in an A-Class office (Horizon Park Business Center);

Compensation package matching global standards;

Flexible work hours (as required);

Paid parking, courses, training, conferences and business trips;

Medical insurance

Free lunches

The candidate will be part of a global engineering team working on UniFi Gateway products, focusing on quality assurance of firmware and hardware integrations to deliver robust and cutting-edge networking solutions.

Inforce is a Software Development Company that provides a full range of top-quality IT services. Our mission is to develop first-class applications and Websites to provide our clients with the best solutions for maximizing their profits and converting their ideas into reality.

Requirements:

- Hands-on experience in QA Automation

- Good knowledge of TypeScript

- Understanding of Android Studio & Xcode

- Working with Android/iOS mobile applications

- Understanding of adb commands and mobile debugging

- Experience building and maintaining autotest frameworks

- Understanding of client-server architecture and API testing

- Experience with Git

Will be a plus:

- Knowledge of Appium

- Experience with WebdriverIO

- Experience with CI/CD

- Experience with BrowserStack / SauceLabs

- Experience with native mobile testing

- Experience with real devices & emulators

We offer:

- Competitive salary

- Interesting and challenging projects

- Future career growth opportunities

- Paid sick leave and working day vacation

- Friendly team of professionals

- Delicious coffee biscuits and tea for your good mood

- The company covers 50% of the cost of courses you need

- Exciting team-building activities and corporate parties

Meet the YozmaTech YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a trailblazing force in the tech industry, propelling the future of Cloud Asset Management. Their solution empowers DevOps, SRE, and Platform Engineering teams to master their cloud landscape, detect drifts, invoke policy-as-Code, and maintain a codified cloud across Multi-Cloud and Kubernetes clusters. The client specializes in providing comprehensive asset inventory, insights, and Infrastructure-as-Code information. The client is a fast-growing startup recognized as an emerging innovator in the DevOps community.

Weʼre looking for a talented QA Automation AI Native Engineer to join our R&D group. As an integral part of the team, you will play a key role in enhancing and scaling our automation infrastructure, bringing Firefly's automation framework to the next level. Your responsibilities will include designing automated tests to ensure optimal product quality and health, identifying and troubleshooting bugs, and closely collaborating with our software design and platform teams.
In this unique R&D role, you will be at the forefront of our next-generation AI Agentic tech, cloud-based solutions, taking on challenges related to performance, scalability, and availability in multi-cloud environments. You will work with cutting-edge services and tools, driving innovation across our systems and development lifecycle. If you thrive in dynamic environments, excel in modern programming, and have a deep knowledge of technologies and infrastructure, weʼd love to hear from you!

Key Requirements:
🔹 At least 4 years of experience in Python within an Automation framework;
🔹 Have hands-on experience working with AI coding agents such as Claude Code, Codex, or GitHub Copilot as part of your daily workflow;
🔹 Familiar with the broader agentic ecosystem - including MCP servers, Skills, sub-agents, and similar primitives - or are you eager to go deep on them;
🔹 Self-driven and responsible, with a “can-doˮ attitude, strong interpersonal skills, and excellent communication abilities;
🔹 Significant experience in developing and utilizing automated testing frameworks and optimizing for scalability and performance in testing environments;
🔹 Previous experience in a SaaS company, with a strong understanding of cloud-based testing needs;
🔹 Familiarity with DevOps practices and technologies like Terraform and Helm Chart—an advantage;
🔹 Experience working with NoSQL databases (e.g., MongoDB, Elasticsearch)—an advantage;
🔹 Solid understanding of cloud architecture and modern system design principles—experience with AWS or GCP preferred;
🔹 English – Upper-Intermediate or higher.


What you will do:
🔹 Operate within a highly agile, dynamic team;
🔹 Contribute to the development of automated testing and validation processes in cloud-based environments within R&D;
🔹 Help shape how we work with modern AI tooling - from coding agents to MCP-based integrations - as these capabilities become a core part of how we ship software;
🔹 Participate in designing infrastructure and systems for testing scalability, reliability, and performance;
🔹 Utilize the latest technology to manage and expand high-performance, high-scale automation frameworks on AWS and Google Cloud, leveraging modern tools like Kubernetes and other testing frameworks;
🔹 Ensure comprehensive test coverage, security, monitoring, alerting, and reporting for automated processes;
🔹 Collaborate closely with the product team to align testing with feature requirements;

Interview stages:
🔹 HR-interview;
🔹 Initial Screening (30 min);
🔹 Technical Task (candidate completes a test assignment);
🔹 Technical Interview (review with architect/technical team);
🔹 Final Interview ;
🔹 Reference check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Company: Lynx Capital Partners - US-based fintech specializing in high-frequency trading systems
Location: Remote 
Type: Full-time

About the Role

We're building a dedicated AI division while maintaining our core trading platform. We need a QA Lead who can manage quality across BOTH traditional systems and AI/LLM products. This role requires deep understanding of testing AI systems.

What You'll Do

• Design and implement comprehensive test strategies for AI-powered tools and systems
• Create test frameworks to verify accuracy, reliability, and performance of LLM integrations
• Develop automation tools to test APIs, frameworks, and infrastructure components
• Collaborate with developers to ensure quality across the entire AI product lifecycle

• Help establish QA standards and best practices for emerging AI technologies

   

What We MUST Have

• 4+ years QA leadership experience
• Actual hands-on experience testing AI/LLM systems (not just using AI tools)
• Understanding of prompt testing, embedding quality, hallucination detection
• Experience with evaluation frameworks and LLM-specific metrics
• Ability to test both deterministic and non-deterministic systems
• Strong coding skills for evaluation scripts (Python preferred for AI tooling)

Are you ready to lead the future of AI-powered quality engineering? We are looking for a Principal AI-Augmented Test Automation Engineer to co-own and scale our AI-native E2E test automation offering together with the Practice Lead.

This is not a traditional automation role focused only on implementation. You will shape the engagement model, establish scalable testing processes, define AI-driven quality engineering principles, and evolve a reusable Playwright + TypeScript framework used across multiple client environments.

You will work directly with senior stakeholders, helping organizations adopt AI-augmented testing practices while ensuring technical quality, operational efficiency, and sustainable delivery models.

Responsibilities:

Process & Solution Establishment

• Define and evolve the engagement model for AI-native test automation initiatives
• Adapt and extend the universal rule and skill system for different client environments
• Advise senior stakeholders on quality strategy, SDLC improvements, automation maturity, and AI adoption
• Drive framework standardization while balancing project-specific requirements

Analytical Review & AI Output Validation

• Review AI-generated outputs, including code, architecture decisions, reports, rules, and testing artifacts
• Quickly identify systemic issues, false positives, broken contracts, redundant logic, or inefficient implementations
• Trace issues to their root causes and define corrective actions at the right system layer
• Improve the reliability and quality of AI-assisted engineering workflows

AI-Augmented Testing Operations

• Define principles and guardrails for effective AI usage in test automation
• Work with AI coding agents and structured prompting approaches to optimize engineering workflows
• Continuously improve prompts, skills, layered rules, and framework integrations
• Optimize token usage and cost efficiency while maintaining delivery quality

Test Automation Architecture

• Own and evolve a scalable Playwright + TypeScript automation framework
• Design and maintain page objects, reusable page-element components, fixtures, selectors, reporting, and test data management
• Establish and enforce strong test-design standards and architectural consistency
• Support portability and scalability of the framework across multiple engagements

Requirements:

• Strong hands-on experience with Playwright and TypeScript test automation architecture
• Proven experience building and evolving automation frameworks from scratch
• Deep understanding of scalable E2E testing design patterns and framework organization
• Experience working with AI coding agents such as Cursor, Claude Code, or similar tools
• Strong analytical skills with the ability to validate and challenge AI-generated outputs
• Experience defining methodologies, playbooks, standards, or reusable engineering practices
• Excellent communication and stakeholder management skills
• Ability to work in customer-facing advisory and consulting environments
• Upper-Intermediate level of English

Will be a plus:

• Experience building AI-native QA or engineering workflows
• Knowledge of token optimization and AI operational economics
• Experience leading or scaling QA/automation practices
• Understanding of SDLC transformation and quality engineering strategy
• Experience working in consulting or multi-client delivery environments

Чи готові ви очолити майбутнє AI-підсиленої інженерії якості? Ми шукаємо Principal AI-Augmented Test Automation Engineer, який разом із Practice Lead буде співволодіти та масштабувати наше AI-native E2E тестове автоматизаційне рішення.

Це не традиційна роль автоматизатора, що зосереджена лише на реалізації рішень. Ви будете формувати модель взаємодії, впроваджувати масштабовані процеси тестування, визначати принципи AI-орієнтованої інженерії якості та розвивати універсальний фреймворк на базі Playwright + TypeScript, який використовується в різних клієнтських середовищах.

Ви працюватимете безпосередньо з провідними стейкхолдерами, допомагаючи організаціям впроваджувати AI-підсилені практики тестування, забезпечуючи при цьому технічну якість, операційну ефективність і сталі моделі реалізації проєктів.

Обов’язки:

Process & Solution Establishment

• Визначати та розвивати модель взаємодії для AI-native ініціатив з автоматизації тестування
• Адаптувати та розширювати універсальну систему правил і навичок для різних клієнтських середовищ
• Консультувати провідних стейкхолдерів щодо стратегії якості, покращень SDLC, зрілості автоматизації та впровадження AI
• Просувати стандартизацію фреймворку, збалансовуючи проєктні вимоги

Analytical Review & AI Output Validation

• Перевіряти AI-згенеровані результати, включно з кодом, архітектурними рішеннями, звітами, правилами та тестовими артефактами
• Швидко виявляти системні проблеми, хибні спрацьовування, порушені контракти, надлишкову логіку або неефективні реалізації
• Відстежувати проблеми до їхніх першопричин та визначати коригувальні дії на відповідному рівні системи
• Підвищувати надійність і якість AI-assisted інженерних робочих процесів

AI-Augmented Testing Operations

• Визначати принципи та обмеження для ефективного використання AI в автоматизації тестування
• Працювати з AI coding agents та структурованими підходами до prompting для оптимізації інженерних процесів
• Постійно вдосконалювати prompts, навички, багаторівневі правила та інтеграції фреймворку
• Оптимізувати використання токенів і витрати, зберігаючи якість доставки

Test Automation Architecture

• Володіти та розвивати масштабований Playwright + TypeScript фреймворк автоматизації
• Проєктувати та підтримувати page objects, багаторазові компоненти елементів сторінок, fixtures, selectors, звітність та управління тестовими даними
• Встановлювати та впроваджувати високі стандарти дизайну тестів і архітектурну узгодженість
• Забезпечувати портативність і масштабованість фреймворку в різних проєктах

Вимоги:

• Сильний практичний досвід роботи з Playwright та TypeScript архітектурою автоматизації тестування
• Доведений досвід створення та розвитку фреймворків автоматизації з нуля
• Глибоке розуміння масштабованих E2E патернів дизайну тестування та організації фреймворку
• Досвід роботи з AI coding agents, таких як Cursor, Claude Code або подібними інструментами
• Сильні аналітичні навички для перевірки та критичного аналізу AI-згенерованих результатів
• Досвід визначення методологій, playbooks, стандартів або багаторазових інженерних практик
• Відмінні навички комунікації та управління стейкхолдерами
• Здатність працювати в клієнтському середовищі на консультативних ролях
• Рівень англійської - Upper-Intermediate

Буде плюсом:

• Досвід побудови AI-native QA або інженерних робочих процесів
• Знання оптимізації токенів та економіки AI операцій
• Досвід керування або масштабування QA/автоматизаційних практик
• Розуміння трансформації SDLC та стратегії quality engineering
• Досвід роботи в консалтингу або мультиклієнтських проєктах

About the project:

The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers, and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible.

The Client is embarking on an exciting and challenging transformation program, and our software solutions are a driving force behind this strategy, using cloud computing and leading-edge design patterns.

Key Responsibilities

• Define and implement data quality rules across ingestion, transformation, and reporting layers
• Validate data in Databricks-based pipelines
• Monitor and test Databricks transformations (PySpark/SQL) for correctness and completeness
• Ensure Databricks / Power BI reports reflect accurate and reconciled data
• Set up data validation checks (schema, nulls, duplicates, ranges, referential integrity)
• Identify, log, and track data quality issues with root cause analysis
• Collaborate with data engineers and analysts to fix issues
• Build automated data quality monitoring and alerts

Required Skills

• 4-5+ years of Relevant work experience in data analysis, quality assurance, data governance, or a similar field is highly desirable. 
• Strong knowledge of Databricks / Spark (SQL, PySpark)
• Understanding of ETL/ELT pipelines and data transformations (dbt)
• Experience validating BI/reporting outputs (Power BI preferred)
• SQL proficiency for data validation and reconciliation
• Familiarity with data quality frameworks/tools (e.g., Great Expectations is a plus)

Nice to Have

• Experience with AWS data stack
• Experience with data governance or data catalog tools
• Exposure to CI/CD for data pipelines
• Knowledge of data lineage and observability tools

Success Criteria

• Reduced data defects in pipelines and reports
• Automated data quality checks are in place
• Clear visibility and tracking of data issues