Test Manager

🏢 Summary: Full-time DevOps/SRE role focused on automating and optimizing the Software Development Lifecycle, including CI/CD pipelines, build and release processes, and developer infrastructure. The position aims to improve integration speed, reliability, and collaboration by advancing trunk-based development and modern DevOps practices. You will work closely with development and SRE teams to enhance automation, infrastructure, and software delivery performance. 🗂️ Requirements: 6+ years in DevOps or SRE in Software or SaaS environment, Strong Linux systems administration experience, Proficiency in Bash, Python or Perl scripting, Experience with Git and branching strategies, Hands-on experience with CI/CD systems, Experience with trunk-based development practices, Strong knowledge of Docker and Kubernetes, Experience with Terraform and Ansible, Experience automating build and release processes, Understanding of DevOps and SRE principles, Experience managing CI infrastructure and developer tooling 📃 Skills: Linux, Bash, Python, Perl, Git, GitLab, GitHub, Jenkins, ArgoCD, Docker, Kubernetes, Terraform, Ansible, CI/CD, SonarQube, Ontrack 🏢 Description: Job description Company Description At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA. At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way.Guided by our values of Care, Passion, and Smart Disruption , we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide. The Role In this role, you’ll work at the heart of our Software Development Lifecycle (SDLC) automation efforts. You’ll be responsible for improving how we integrate, build, and release code — ensuring that developers can deliver value quickly and safely. This role is ideal for someone passionate about DevOps practices, automation, and enabling developer productivity at scale. (We cannot consider B2B Contractors for this Position) - Full time Permanent Employee applications will be considered for this vacancy. Job requirements What You’ll Bring 6+ years of experience in a DevOps or SRE role in a Software or SaaS environment Strong experience with Linux systems administration Proficiency in scripting languages (e.g., Bash, Python, or Perl) Solid experience with Git and branching strategies , with a focus on improving collaboration and enabling high-frequency integration Strong experience with CI/CD systems (e.g., GitLab CI, GitHub Actions, Jenkins, ArgoCD) and building reliable, fast feedback pipelines Good understanding of modern CI practices , including frequent integration, maintaining a stable main branch, and reducing merge complexity Experience supporting or working in environments moving toward trunk-based development (e.g., short-lived branches, incremental changes) Deep understanding of containerization tools (Docker) and orchestration (Kubernetes) Experience with infrastructure-as-code and automation tools (Terraform, Ansible) Strong understanding of DevOps principles: automation, feedback loops, and shift-left testing Experience automating software build and release processes A strong grasp of software integration workflows, dependency management, and production readiness Understanding of SRE principles and how reliability and infrastructure practices support software delivery Ability to work cross-functionally and guide teams toward improved engineering practices Job responsibilities What You’ll Be Doing Design, build, and maintain shared CI/CD pipeline templates and automation tools with a focus on fast feedback and reliable integration Develop and support internal tools for build, test, and release automation Collaborate with development teams to improve how code is integrated, tested, and prepared for production Help define and evolve best practices for source control, branching strategies, and code collaboration , supporting a move toward trunk-based development Guide teams in adopting incremental, high-quality changes that reduce risk and improve delivery flow Partner with SRE teams to align deployment strategies, observability, and infrastructure practices with application delivery Manage, optimize, and monitor developer infrastructure (CI runners, SonarQube, Ontrack, artifact repositories, etc.) Drive improvements in release readiness, code quality, and testing practices across teams Identify and remove bottlenecks in the software delivery lifecycle , improving speed without compromising reliability Continuously evaluate new tools and technologies to improve our platform and developer experience Job benefits 🇬🇧 What We Offer – United Kingdom Private Medical Insurance through Vitality Health (full hospital cover, 24/7 GP, and therapy sessions) Group Critical Illness Cover with Aviva Life Insurance (death-in-service lump sum) Pension Scheme with 9% employer contribution via Scottish Widows Opportunities for professional development and sponsored certifications A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture. 🇬🇧 Equal Opportunities & Data Protection Statement CluePoints is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. We welcome applications from all individuals regardless of age, disability, gender identity or expression, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Any personal data you share during your application will be processed in accordance with the UK GDPR and the Data Protection Act 2018 and will be used solely for recruitment purposes. By submitting your application, you consent to the processing of your data for recruitment and employment purposes.

🏢 Summary: Site Reliability Engineer focused on Observability and Real User Monitoring, responsible for enhancing end-to-end telemetry across frontend, backend, and Kubernetes environments. The role combines core SRE practices with ownership of monitoring, logging, tracing, alerting, and user-experience metrics in production. It involves evolving observability tooling, improving incident detection, and supporting reliable, data-driven operations. 🗂️ Requirements: 5+ years experience in SRE, DevOps, Platform Engineering or Observability roles, Hands-on experience with observability and monitoring platforms, Experience implementing Real User Monitoring (RUM) in production, Experience with frontend and application observability, Experience working with Azure and Kubernetes environments, Ability to define and manage SLIs and SLOs, Experience with incident detection, alerting and production troubleshooting, Experience evaluating managed vs self-managed observability solutions 📃 Skills: Azure, Kubernetes, Elastic, Grafana, Prometheus, OpenTelemetry, Sentry, APM, RUM, SLI, SLO, JavaScript, LangChain, LangGraph, OpenAI, Anthropic 🏢 Description: Job description Company Description At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA. At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way.Guided by our values of Care, Passion, and Smart Disruption , we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide. Role: The Site Reliability Engineer, Observability & RUM is responsible for improving end-to-end observability across our platforms and customer-facing applications, with a particular focus on frontend and Real User Monitoring (RUM). This role combines core SRE practices with ownership of monitoring, logging, tracing, alerting, and user-experience telemetry in production. You will help evolve our observability capabilities across Azure and Kubernetes environments, improve incident detection and diagnosis, and support decisions around managed versus self-managed observability tooling. You will partner closely with Engineering, Support, QA, and Security teams to ensure systems ship with actionable telemetry, dashboards, alerts, and operational runbooks. Job requirements 5+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Observability Engineering roles. Strong hands-on experience with observability and monitoring platforms, including several of the following:Elastic, Grafana, Prometheus, OpenTelemetry, Sentry, monitoring agents, and managed APM/observability platforms. Experience implementing and supporting Real User Monitoring (RUM) and frontend/application observability in production environments. Ability to work across frontend, backend, and platform teams to improve telemetry, alerting, and incident diagnosis. Experience evaluating or operating managed observability platforms and understanding the trade-offs versus self-managed stacks. (Nice to have) Experience supporting ML, AI, or LLM-backed services in production (RAG, LangSmith, Arize Phoenix, LangChain, LangGraph, Azure OpenAI, OpenAI, or Anthropic APIs). Job responsibilities Own and improveReal User Monitoring (RUM) for customer-facing applications, including browser performance, client-side errors, user journeys, and frontend service dependencies. Partner with frontend, product, and engineering teams to improve visibility into user experience, JavaScript/runtime failures, page performance, and customer-impacting issues. Establish and maintain end-to-end observabilityacross frontend, backend, infrastructure, and Kubernetes environments using metrics, logs, traces, dashboards, and alerting. Evaluate, implement, and operate managed and self-managed observability solutions, helping guide the evolution of the observability stack. Support and improve observability tooling such as Sentry, Elastic, Grafana, Prometheus, OpenTelemetry, monitoring agents, and related APM platforms. Define and maintain SLIs, SLOs, and alerting strategies that improve service reliability, reduce noise, and enable faster detection of production issues. Lead or support incident detection, alert triage, live production troubleshooting, and service restoration across outage, latency, batch, file transfer, and degradation scenarios, in partnership with Support and Production teams. Job benefits 🇵🇱 What We Offer – Poland Comprehensive Health Insurance (medical, dental, and online consultations, 100% employee coverage) Life Insurance through UNUM Cafeteria Plan with flexible monthly credits for wellness, entertainment, and travel MultiSport Card , co-financed 50/50 Employee Capital Plans (PPK) with 4% employer contribution A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture. Equal Opportunities & Data Privacy Statement CluePoints is an equal opportunity employer committed to diversity and inclusion in the workplace. Your personal data will be processed by CluePoints for recruitment purposes in accordance with the Regulation (EU) 2016/679 (GDPR). If you wish for your data to be retained for future opportunities, please include the following statement in your CV: “I consent to the processing of my personal data by CluePoints for the purposes of future recruitment processes.”

🏢 Summary: The offer is for a Test/Quality Engineer to drive quality engineering practices within a DevOps environment, focusing on risk-based testing, preventive defect strategies, and advanced test automation integrated into CI/CD pipelines. The role includes building quality gates, implementing non-functional testing, and modernizing the Test & Quality stack with AI-driven improvements. It emphasizes end-to-end ownership of quality across the software delivery lifecycle. 🗂️ Requirements: Bachelor’s degree in Computer Science, Software Quality Engineering or related field, or equivalent experience, Minimum 5 years of experience in software quality engineering, Experience as QA/Test Engineer in Agile/DevOps environments, Hands-on experience with automated testing at unit, API, integration, and UI/E2E levels, Experience integrating automated tests into CI/CD pipelines, Proficiency in at least one programming or scripting language, Knowledge of DevSecOps practices including SAST and DAST, Experience designing test strategies and defining quality gates and metrics, Understanding of testing pyramid and risk-based testing approach, Experience with non-functional testing (performance, security, reliability), Experience with Agentic IDEs and agent-assisted testing workflows, Experience with automated visual validation and Design Tokens 📃 Skills: Playwright, Cypress, Selenium, REST, Java, C#, Python, JavaScript, TypeScript, Azure, GitHub, GitLab, CI/CD, SAST, DAST, DevOps, DevSecOps, AI, FMEA 🏢 Description: Project Context We are looking for a Test/Quality Engineer to join our DevOps team and drive a quality engineering mindset across the delivery lifecycle. You will focus on risk-based testing, failure scenario analysis, preventive defect practices, and high-impact automation integrated into CI/CD. You will also contribute to the business case and roadmap for modernizing our Test & Quality stack—including opportunities enabled by AI—to improve speed, reliability, and cost efficiency. Goals and Deliverables Key Responsibilities Design and implement automated tests at multiple levels (unit, API/contract, integration, UI, end-to-end) and ensure they run reliably in CI/CD. Embed quality engineering practices into DevOps delivery (shift-left and shift-right) with a focus on prevention over detection. Perform risk analysis and define test strategies based on business impact, critical user journeys, and failure scenarios (FMEA-style thinking). Build and maintain quality gates in pipelines (test execution, coverage thresholds, static analysis, vulnerability checks, artifact promotion rules). Improve testability and quality-by-design with engineering teams (observability, feature flags, resilient design, dependency mocking/service virtualization). Establish and monitor quality metrics (defect escape rate, flaky test rate, pipeline health, lead time to detect, MTTR contributors). Drive continuous improvement of test frameworks, tooling, and environments (test data, environment readiness, parallelization, execution time). Implement non-functional testing practices where relevant (performance, reliability, security testing coordination). Contribute to the Test & Quality transformation roadmap, including identifying where AI can accelerate: test design, test maintenance, defect triage, log analysis, and documentation. Identify and implement opportunities for automation and process improvements. Key Requirements Bachelor's degree in Computer Science, Software Quality Engineering, or a related field, or equivalent practical experience. 5 years of professional experience in software quality engineering. (e.g., 3+ years for mid-level, 5+ for senior) Proven experience as a QA/Test Engineer or Quality Engineer in Agile/DevOps environments. Strong quality engineering mindset: risk-based testing, preventive defect approach, and failure-mode thinking. Hands-on test automation experience (one or more of: Playwright, Cypress, Selenium; plus API automation with REST tools/frameworks). Familiarity with DevSecOps practices (SAST/DAST, dependency scanning) and secure testing fundamentals. Proficiency in at least one programming/scripting language used for automation (e.g., Java, C#, Python, JavaScript/TypeScript). Practical CI/CD experience (Azure DevOps, GitHub Actions, Gitlab pipelines or equivalent) including pipeline integration of automated tests. Experience designing test strategies and defining quality gates and metrics. Strong understanding of testing concepts across the pyramid (unit → integration → E2E) and how to optimize for speed and stability. Proficiency with Agentic IDEs and experience with "Agent in the loop" workflows for automatic testing and quality testing. Experience reading Design Tokens and ensuring the UI code matches the source of truth through automated visual validation. Other Details This position is focused on driving quality within a progressive DevOps environment and includes opportunities to work with cutting-edge technologies in test automation and AI. The role offers flexibility regarding remote work arrangements.

🏢 Summary: Senior fullstack (backend-heavy) engineer to build a greenfield prenatal screening diagnostics product, owning architecture and features end-to-end from backend to selected frontend components. The role focuses on designing scalable Java/Spring Boot services, APIs, and data models, while contributing to React/TypeScript UI and shaping technical direction in a fast-moving MVP phase. Strong emphasis on clean architecture, testing discipline, AWS deployment, PostgreSQL, and effective use of AI-assisted development tools. 🗂️ Requirements: Strong expertise in Java and Spring Boot, Clean API design and domain modeling, Experience defining service boundaries and scalable architectures, Solid understanding of OOP, SOLID, and clean architecture, Working proficiency in React and TypeScript, Proven use of AI coding tools in daily workflow, Experience writing unit, integration, and API tests, PostgreSQL schema design and query optimization, AWS production deployment experience (ECS/EKS, RDS, Lambda, S3), Ability to work in greenfield, ambiguous environments 📃 Skills: Java, Spring, SpringBoot, React, TypeScript, PostgreSQL, AWS, ECS, EKS, RDS, Lambda, S3, REST, OOP, SOLID, SQL, AI, Cursor, Claude 🏢 Description: We are building a new prenatal screening diagnostics product from scratch. The project is currently in an early greenfield phase, with MVP delivery planned within the next six months. We are looking for a senior engineer who enjoys building products end-to-end and feels comfortable taking ownership across the full development lifecycle — from backend architecture and data modeling to APIs and selected frontend features. This role is backend-heavy, but requires a pragmatic fullstack mindset and the ability to contribute wherever needed. You will work closely with product stakeholders in a fast-moving environment, helping shape both technical direction and product decisions. We are particularly interested in engineers who actively use AI-assisted development tools (such as Cursor, Claude Code, or similar) as part of their daily workflow and understand how to leverage them effectively while maintaining high engineering standards and code quality. You will have a direct impact on: defining system architecture and service boundaries, designing scalable backend solutions, building APIs and core business logic, contributing to React/TypeScript frontend development, establishing engineering best practices, testing strategy, and maintainable code standards. The project operates in the diagnostics domain, so attention to quality, reliability, and clean engineering practices is essential. Requirements: Strong Java and Spring Boot expertise — clean API design, domain modeling, sound architectural trade-offs. You think in terms of service boundaries, data flow, and maintainability, not just making it work Solid grasp of software design principles — object-oriented programming, SOLID, clean architecture, separation of concerns. You write code that the next person can read, extend, and trust. You know when a pattern helps and when it's ceremony Working proficiency in React and TypeScript — you can pick up frontend tasks, build components, and integrate with backend APIs independently Proven experience integrating AI coding tools (Claude Code, Cursor, or equivalent) into daily development workflow — including prompt design for code generation, output validation, and actively preventing AI-generated technical debt. You can describe concrete examples of where AI accelerated your delivery and where you chose to override it Testing as a professional discipline, not a checkbox — you write unit, integration, and API tests as part of delivery, own the test pyramid decisions, and treat untested code as unfinished code PostgreSQL — schema design, query optimization, migrations in a production context AWS experience — you've deployed and operated production workloads on AWS (ECS/EKS, RDS, Lambda, S3) and can make informed infrastructure decisions Comfort working in ambiguous, greenfield settings — you define scope with stakeholders rather than waiting for pre-scoped tickets Responsibilities: Own features end-to-end: design, implement, test, deploy, and maintain across the full stack. Work split ~80% backend, 20% frontend. Make foundational architectural decisions on a greenfield codebase — data models, API contracts, service boundaries, test strategy Build and maintain the Java/Spring Boot backend that powers the product's core logic Contribute to the React/TypeScript frontend when needed — you're backend-primary, but you ship UI when the team needs it Integrate AI coding tools into your daily workflow to accelerate delivery while maintaining code quality — and help the team adopt these practices Collaborate directly with product stakeholders to refine requirements in a fast-moving, low-ceremony environment

🏢 Summary: Opportunity for an Automated Quality Assurance Engineer to build and enhance AI-driven test automation frameworks using TypeScript and Playwright. The role focuses on integrating intelligent agents and modern automation tools into the testing lifecycle to improve coverage, speed, and reliability. You will collaborate with cross-functional teams and contribute to CI/CD processes in a cloud-based development environment. 🗂️ Requirements: Experience with Playwright MCP, Understanding of AI Agents concepts and practical application, Hands-on experience with GitHub Copilot, Proficiency in Typescript, Experience with Selenium WebDriver, Experience with CI/CD pipelines, Experience with version control systems, Strong programming skills in at least one modern language, Ability to work collaboratively in a team environment, Strong problem-solving skills 📃 Skills: Typescript, Playwright, PlaywrightMCP, Selenium, GitHubCopilot, AIAgents, CICD, Git, Cloud 🏢 Description: Client Our client is one of the largest professional certification associations in the finance industry globally and uses DataArt as its primary technology partner. Project overview The project focuses on developing advanced automated testing solutions enhanced with AI driven capabilities to improve test coverage, speed, and reliability across modern applications. You will work on integrating intelligent agents and automation tools into the testing lifecycle. Position overview We are looking for a skilled Automated Quality Assurance Engineer with strong experience in Typescript, Playwright, and AI driven testing approaches. You will contribute to building reliable automation frameworks and improving software quality through modern testing practices and intelligent tooling. Technology stack Typescript, Playwright, Playwright MCP, Selenium WebDriver, GitHub Copilot, AI Agents concepts, CI CD pipelines, Git, cloud based development environments Responsibilities Design and maintain automated test scripts using Typescript and Playwright Collaborate with developers and product teams to define and implement test strategies Execute automated test suites and analyze results to ensure product quality Integrate Playwright MCP features into automation workflows Apply AI agent concepts to enhance automation coverage and efficiency Leverage GitHub Copilot to improve development speed and code quality Participate in code reviews and contribute to CI CD processes Monitor testing trends and apply best practices in automation and AI driven QA Requirements Experience with Playwright MCP Understanding of AI Agents concepts and their practical application Hands on experience with GitHub Copilot Proficiency in Typescript Experience with Selenium WebDriver for test automation Experience working with CI CD pipelines and version control systems Strong programming skills in at least one modern language Ability to collaborate effectively within a team environment Strong problem solving and communication skills Nice to have Experience with cloud based testing environments Familiarity with performance testing tools Exposure to DevOps practices and automation pipelines Understanding of modern software architecture patterns What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: Opportunity for a Lead Full Stack Engineer to provide technical leadership while building scalable, high‑performance applications using the Microsoft stack and modern cloud architecture. The role combines hands-on full stack development with active adoption of AI-assisted engineering practices across the SDLC. You will drive engineering excellence, mentor teams, and integrate AI capabilities into products and internal tools. 🗂️ Requirements: 7+ years experience with Microsoft stack (.NET, C#, SQL Server, T-SQL), Strong experience with .NET Core and Angular, Proficiency in JavaScript, HTML, CSS, Experience with Git, Experience designing scalable and maintainable systems, Knowledge of SOLID principles and design patterns, Experience with microservices architecture, Experience with Azure or other cloud platforms, Experience working in Scrum environments, Hands-on use of GenAI tools (Copilot, ChatGPT, Cursor) in SDLC, Experience integrating LLM APIs or AI capabilities into applications, Understanding of AI risks, testing, reviews, and compliance guardrails 📃 Skills: .NET, C#, SQL, T-SQL, .NETCore, Angular, JavaScript, HTML, CSS, Git, Azure, Microservices, SOLID, GenAI, LLM, Copilot, ChatGPT, Cursor 🏢 Description: About the Client: 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. Short Role Description: This is a great opportunity for an experienced Lead Full Stack Engineer to join our Software Development team as part of one of our established Scrum teams. Each agile team includes technical leadership, development, architecture, QA, product, and project management roles. We are looking for a strong engineering leader who combines deep hands-on development expertise with an AI-first mindset. This role requires an AI Champion — someone who actively applies AI tools across the Software Development Life Cycle and helps elevate engineering productivity, quality, and delivery standards through practical and responsible AI adoption. You will not only build high-performance applications, including high-traffic customer-facing platforms, but also act as a multiplier for engineering excellence by introducing modern practices, tools, and ways of working. Responsibilities: Provide technical leadership, mentorship, and hands-on support to engineers within the team. Design, develop, test, document, and maintain scalable backend and frontend solutions. Deliver high-quality, reusable, and maintainable code aligned with best engineering practices. Actively apply AI-assisted development approaches across design, coding, testing, and debugging. Drive improvements in engineering efficiency, quality, and delivery through practical AI usage. Produce clear and structured technical documentation. Provide realistic estimates and manage delivery timelines effectively. Participate in all Scrum ceremonies and contribute to team performance and continuous improvement. Coach teams on effective usage of GenAI tools and promote AI-first engineering culture. Requirements: 7+ years of experience with Microsoft development stack (.NET / C# / SQL Server / T-SQL). Strong experience with .NET Core, Angular, JavaScript, HTML, CSS, Git. Hands-on experience designing scalable and maintainable systems. Solid understanding of SOLID principles, design patterns, and microservices architecture. Experience working with cloud platforms (Azure preferred). Strong experience working in Scrum environments across different team setups. AI & Engineering Excellence Requirements: Proven hands-on experience using GenAI tools (e.g., Copilot, ChatGPT, Cursor, etc.) to improve development speed, code quality, testing, debugging, and documentation. Practical experience integrating LLM APIs or AI capabilities into applications or internal tools. Understanding of AI limitations, risks, and guardrails (testing, reviews, policies, compliance). Ability to introduce new tools and practices, influence teams, and scale adoption across engineering. Nice to Have: Experience building internal developer productivity tools or engineering automation solutions. Exposure to performance, scalability, and security requirements for large-scale platforms. Personal Attributes: Self-organising problem solver. Able to think outside the box (open thinking). Strong ability to work effectively in a team. Collaborating, motivating and energizing others (Team player). Encourage and drive others to deliver high-quality, cutting-edge software. You will have attention to detail and have a proactive ethos. Always looking for continuous improvement. Excellent verbal and written communication skills, in English. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Lead the design and implementation of a comprehensive QA and performance testing strategy for enterprise AI and LLM solutions, ensuring reliability, compliance, and scalability of complex AI agent workflows. The role focuses on AI model evaluation, automated performance engineering, and CI/CD quality gate integration. You will oversee end-to-end testing architecture across functional, non-functional, and AI-specific validation domains. 🗂️ Requirements: 10+ years of enterprise QA leadership experience, Experience designing functional, non-functional, and performance test architectures, Hands-on experience with AI/LLM evaluation metrics (BLEU, ROUGE, perplexity), Experience implementing load, stress, and chaos testing frameworks, Experience building CI/CD test pipelines in Azure DevOps or GitHub Actions, Experience with automated API testing using Pytest or Postman, Experience validating multi-step AI agent workflows, Knowledge of ML/LLM lifecycle and model promotion pipelines, Experience with data lineage and governance tools (Purview or Unity Catalog), Experience with synthetic data generation and dataset versioning, Experience working in regulated industries with compliance requirements 📃 Skills: AI, LLM, BLEU, ROUGE, Perplexity, Pytest, Postman, Azure, GitHub, CI/CD, Purview, Unity, Python, API, Chaos, LoadTesting, StressTesting, SyntheticData, ML, DevOps 🏢 Description: QA & Performance Engineering Lead (AI/LLM Focus) The Role We are seeking a high-caliber QA and Performance Engineering Lead to spearhead the testing strategy for enterprise-grade AI and LLM solutions. In this role, you will define the architecture for functional, non-functional, and performance testing, ensuring that complex AI agent workflows and large-scale applications meet the highest standards of reliability and compliance. You will act as a bridge between traditional QA excellence and the cutting-edge requirements of GenAI evaluation. Core Responsibilities & Technical Expertise Strategic QA Leadership: Leverage 10+ years of experience leading enterprise-wide testing initiatives within Fortune 500 environments to design comprehensive QA architectures. AI/LLM Specialized Evaluation: Implement advanced metrics for model assessment, including BLEU, ROUGE, perplexity , and specialized scoring for hallucination and grounding rates . Performance & Resilience Engineering: Build frameworks for load, stress, and chaos testing to ensure system stability under extreme conditions and peak workloads. Automation & Orchestration: Engineer robust CI/CD test pipelines using Azure DevOps or GitHub Actions , focusing on automated API testing (Pytest/Postman) and integrated test harnesses. Agentic Workflow Validation: Design testing strategies for multi-step AI agents , covering tool chaining, orchestration, and context injection accuracy. Data Governance & Compliance: Apply deep knowledge of data lineage (Purview/Unity Catalog) and maintain strict traceability and auditability standards required in regulated industries. Lifecycle Management: Oversee model release gates, registry promotions, and the management of synthetic datasets and versioning. Key Deliverables Unified Testing Framework: A standardized taxonomy and coverage model spanning unit, integration, E2E, and AI agent workflows. AI Evaluation Suite: A comprehensive suite for validating model consistency, toxicity, and correctness , supported by Proof-of-Concept (PoC) validations. Automated Performance Harness: Scalable workload models designed for peak-load scenarios and resiliency benchmarking. Smart Quality Gates: Automated pass/fail scoring mechanisms embedded directly into release pipelines across all quality dimensions. Advanced Observability: Implementation of "Golden Dashboards" tracking real-time metrics such as latency-per-thought, grounding quality, and functional pass rates. Professional Profile Expertise in Enterprise QA Architecture (Functional + Non-functional + Performance). Deep understanding of ML/LLM lifecycle and model promotion pipelines. Strong background in Regulated Industries (ensuring compliance and audit readiness). Hands-on experience with Synthetic Data generation and dataset versioning.

🏢 Summary: Senior Python Backend Engineer role focused on building and scaling AI-driven services and APIs for clinical trial risk detection, with strong emphasis on AI-assisted development and LLM integration. The position involves designing robust backend systems, integrating OpenAI-based capabilities, and solving performance and architectural challenges in a data-intensive SaaS environment. You will work with modern Python frameworks and cloud-native technologies in an Agile setup. 🗂️ Requirements: 6+ years of professional software development experience, Strong production-level Python experience, Experience building and consuming REST APIs, Daily professional use of AI coding assistants (e.g. GitHub Copilot), Familiarity with Specification-Driven Development (SDD), Working knowledge of BMAD methodology for AI/ML features, Experience with SQL and/or NoSQL databases, Understanding of Agile/SCRUM methodology, Knowledge of software design and architectural patterns (SOLID, Clean Architecture), Fluent English for technical collaboration 📃 Skills: Python, FastAPI, Flask, Pyramid, REST, OpenAI, GitHub, Copilot, SDD, BMAD, SQL, MySQL, MongoDB, CosmosDB, Kubernetes, Docker, Git, Celery, Temporal, Azure, CI/CD, SOLID, Agile, SCRUM 🏢 Description: About the client: Our client is a  cutting-edge, technology focused SaaS company that provides a better way of detecting and managing risks that may impact the outcome of clinical trials. Their solutions are driven by a unique set of algorithms that interrogate clinical and operational data in real-time centrally to conveniently illuminate outliers and anomalies in data. Role description You will join a 100+ strong Engineering team driving the future of data-driven statistics, machine learning, and AI software solutions. As part of a talented group of Python developers within a dynamic, fast-scaling company, you will tackle meaningful engineering challenges — and now, you will be at the forefront of integrating AI-assisted development practices into the team's everyday workflow. Our backend engineers primarily work with Python and FastAPI, broader tech stack includes: Kubernetes, Docker, Flask, Pyramid, Git, MySQL, Mongo, Azure Cosmos Db, Celery, Temporal Responsibilities: •    Design, build and maintain robust, scalable Python services and APIs •    Integrate and extend AI/LLM capabilities using the OpenAI API and related tooling •    Accelerate development velocity through effective use of GitHub Copilot and AI-assisted code review •    Apply SDD practices to ensure features are specification-aligned and well-documented from day one •    Refactor existing codebases and perform thorough peer code reviews •    Solve complex performance bottlenecks and architectural challenges at scale •    Collaborate with Product and Design to translate end-user needs into pragmatic technical solutions •    Champion engineering best practices, clean code principles and knowledge sharing within the team Requirements: •    6+ years of professional software development experience •    Strong Python expertise — production-grade services, libraries and tooling •    Proven experience building and consuming REST-based web services •    Daily use of GitHub Copilot or equivalent AI coding assistants in a professional context •    Familiarity with SDD (Specification-Driven Development) workflows •    Working knowledge of BMAD delivery methodology for AI/ML features •    Solid understanding of SQL and/or NoSQL databases •    Clear understanding of Agile/SCRUM methodology •    Strong grasp of software design and architectural patterns (SOLID, Clean Architecture, etc.) •    Confident written and spoken English for daily collaboration in an international team Nice to have: •    Containerisation — Docker, Kubernetes or equivalent orchestration platforms •    Background in clinical data, life sciences or regulated software environments •    Contributions to open-source AI/ML projects •    Experience working with Azure, understanding of CI/CD

🏢 Summary: Remote QA Team Lead role focused on leading a small QA team and owning Playwright-based test automation for landing page projects. The position combines technical leadership, automation architecture design, and end-to-end quality process ownership to ensure stable and predictable releases. It involves scaling automation frameworks, improving CI/CD integration, and driving QA standards in a fast-changing web environment. 🗂️ Requirements: 5+ years of experience in QA, Minimum 3 years in test automation, At least 2 years leading QA or automation teams, Deep expertise in Playwright with TypeScript, Experience designing and maintaining test automation frameworks, Experience with CI/CD automation integration, Ability to define and enforce test architecture and coding standards, English level B2 or higher 📃 Skills: Playwright, TypeScript, CI/CD, Bitbucket, Allure, Automation, Testing, DevOps, QA, Git 🏢 Description: CapsLock builds exceptional marketing solutions for large partners from North America. We don’t just advertise our clients’ products or services — we build long-term marketing solutions within the context of enduring partnerships. Our people’s diversity and their ideas inspire the innovation that runs through everything we do, from unique technology to industry-leading services and customer experiences. We believe teams that openly support and challenge each other are destined to win. Role Overview Our QA department is scaling — and we’re looking for a QA Team Lead who can combine strong technical leadership in Playwright with strategic management and team development. Your mission will be to ensure high-quality, stable, and predictable delivery of landing page projects by leading the QA team, setting Playwright standards, and developing a sustainable test automation strategy that supports rapid releases. This role suits someone who thrives in a fast-changing environment, enjoys solving complex testing challenges, and knows how to build systems that scale. We are working 100% remotely, so please feel free to apply from any country within Europe. Your Responsibilities Technical Leadership Own and evolve the Playwright-based test architecture - ensuring stability, maintainability, and efficient execution. Define and enforce coding standards, structure, and testing conventions across all automated projects. Conduct code reviews, share best practices, and drive technical quality within the automation domain. Collaborate with manual QA engineers to translate checklists and test cases into automated coverage where applicable. Monitor and analyze automation results, identify weak spots, and continuously improve test reliability. Align with DevOps to maintain visibility of automation runs and ensure seamless CI/CD reporting (Bitbucket Pipelines, Allure). Explore and propose new tools or approaches when relevant, that could improve testing speed, maintainability, or team efficiency. Team Management Lead and support a small QA team (Manual QA + Automation QA), ensuring clear goals, priorities, and accountability. Conduct regular 1:1s, track performance and motivation, and provide constructive feedback. Plan sprint testing activities, manage workload distribution, and monitor delivery quality. Encourage initiative and continuous learning within the team — fostering ownership and collaboration. Align with the QA Department Lead and Design Director to ensure consistent quality standards and smooth communication across teams. Process & Quality Ownership Oversee end-to-end testing processes — from planning and documentation to execution and reporting. Maintain and improve manual and automated test documentation, ensuring accuracy and clarity. Review and validate bug reports, test cases, and coverage consistency across projects. Define and maintain meaningful QA metrics — starting with automation coverage — and introduce additional measurements that help assess testing effectiveness, stability, and release quality. Continuously improve workflows to make testing faster, more transparent, and better aligned with release cycles. Requirements 5+ years in QA , including at least 3 years in test automation. 2+ years of experience leading QA engineers or automation teams , owning team performance, processes, and technical direction. Deep expertise in Playwright (TypeScript) — designing test architecture, writing clean code, and ensuring scalability. Practical experience building and maintaining automation frameworks for fast-changing web projects. Experience running and maintaining automation in CI/CD environments (Bitbucket Pipelines, Allure, or similar tools). Strong communication and leadership skills — able to connect technical decisions with business priorities and team goals. English: B2 or higher. Nice to Have Experience building or improving QA automation strategy for web products. Practical experience with visual testing (Playwright snapshots, Percy, Applitools) and using consistent test data setups. Experience expanding or maintaining automation across multiple projects or environments . Ability to design clear QA reports and metrics that help track quality and team progress. Curiosity about AI-assisted testing or new ways to make automation faster and smarter. Desire to build a strong technical culture within the QA team — share knowledge, improve standards, and support others’ growth. Understanding of core QA principles and structured testing (ISTQB-level knowledge is a plus). Why do we deserve your attention? Not only do we offer fair and competitive pay, but we also provide perks and benefits that support your well-being and growth. Here are some of them: Remote Work - we are a truly remote-first company. You choose where you feel the most productive and comfortable to make an impact. Paid Time Off - work-life balance matters to us, and we support it with paid time off for rest, personal time, or simply doing what makes you happy. Ongoing Learning - we believe in curiosity and growth. That’s why we support continuous learning with workshops, online courses, conferences, and certifications. Home Office - we help you set up your perfect workspace by covering equipment and furniture expenses, so you can do your best work from home. Physical Well-Being - from gym memberships and yoga classes to home workout equipment or even a bicycle, we give you the flexibility to stay active your way. Unlimited Sick Days - your health matters. Take the time you need to rest and recover - we’ll be here when you’re ready to return. Medical Coverage - we support you and your family with reimbursement for medical insurance and health-related expenses, including dental care and psychological support. Co-Working Space - if you sometimes crave a change of scenery or more social interaction, we’ll cover the full cost of a co-working space. Fun Stuff - from gaming nights and fitness challenges to annual retreats at world-class resorts, we make sure there’s never a shortage of fun and connection.

🏢 Summary: Senior backend‑heavy fullstack engineer to build a greenfield prenatal screening diagnostics product, owning features end‑to‑end across backend and frontend. The role focuses on Java/Spring Boot architecture, data modeling, APIs, and AWS infrastructure, with React/TypeScript contributions as needed. AI coding tools are expected as a core part of daily development in a regulated, production environment. 🗂️ Requirements: Strong Java and Spring Boot expertise, Experience designing APIs and domain models, Solid understanding of OOP and SOLID principles, Ability to define service boundaries and system architecture, Working proficiency in React and TypeScript, Proven experience using AI coding tools in daily development, Experience writing unit, integration, and API tests, Experience with PostgreSQL schema design and query optimization, Experience deploying and operating workloads on AWS, Ability to work in greenfield, ambiguous environments 📃 Skills: Java, Spring, SpringBoot, React, TypeScript, PostgreSQL, AWS, ECS, EKS, RDS, Lambda, S3, OOP, SOLID, REST, AI, Claude, Cursor, Testing 🏢 Description: Our client — a global leader in healthcare and diagnostics — is building a new prenatal screening diagnostics product from the ground up. We are looking for a senior backend‑heavy fullstack engineer who can own features end‑to‑end — from data modeling and APIs to the UI. The role offers real ownership within a highly regulated, impact‑driven product environment. Using AI tooling as a core part of daily engineering work is expected — not as an experiment, but as a standard way of building and delivering software. What You'll do: Own features end-to-end: design, implement, test, deploy, and maintain across the full stack. Work split ~80% backend, 20% frontend. Make foundational architectural decisions on a greenfield codebase — data models, API contracts, service boundaries, test strategy Build and maintain the Java/Spring Boot backend that powers the product's core logic Contribute to the React/TypeScript frontend when needed — you're backend-primary, but you ship UI when the team needs it Integrate AI coding tools into your daily workflow to accelerate delivery while maintaining code quality — and help the team adopt these practices Collaborate directly with product stakeholders to refine requirements in a fast-moving, low-ceremony environment Requirements: Strong Java and Spring Boot expertise — clean API design, domain modeling, sound architectural trade-offs. You think in terms of service boundaries, data flow, and maintainability, not just making it work Solid grasp of software design principles — object-oriented programming, SOLID, clean architecture, separation of concerns. You write code that the next person can read, extend, and trust. You know when a pattern helps and when it's ceremony Working proficiency in React and TypeScript — you can pick up frontend tasks, build components, and integrate with backend APIs independently Proven experience integrating AI coding tools (Claude Code, Cursor, or equivalent) into daily development workflow — including prompt design for code generation, output validation, and actively preventing AI-generated technical debt. You can describe concrete examples of where AI accelerated your delivery and where you chose to override it Testing as a professional discipline, not a checkbox — you write unit, integration, and API tests as part of delivery, own the test pyramid decisions, and treat untested code as unfinished code PostgreSQL — schema design, query optimization, migrations in a production context AWS experience — you've deployed and operated production workloads on AWS (ECS/EKS, RDS, Lambda, S3) and can make informed infrastructure decisions Comfort working in ambiguous, greenfield settings — you define scope with stakeholders rather than waiting for pre-scoped tickets Nice-to-Have: Infrastructure as Code (Terraform) Healthcare, diagnostics, or regulated-environment experience Security hardening practice — threat modeling, dependency scanning, secure defaults Observability tooling (CloudWatch, Prometheus, Grafana) CI/CD pipeline design (GitHub Actions or similar) Our offer: Permanent full-time contract (B2B contract) Ability to work entirely remotely or in one of our cool offices around Poland International project environment - challenging and rewarding projects Access to private medical service, life insurance, and multisport card Access to training and certificate courses (including free access to Udemy training platform) Cafeteria Benefits System - vouchers for purchases and sevices Awesome company events and parties