Overview Lead, QA Engineer – Playwright Focused at Kaseya. Kaseya is the leading provider of complete IT infrastructure and security management solutions for MSPs and internal IT organizations worldwide powered by AI. Kaseya has achieved sustained, strong double-digit growth and is backed by Insight Partners, a leading global private equity firm investing in high-growth technology and software companies. Founded in 2000, Kaseya serves customers in over 20 countries and manages millions of endpoints worldwide. For more information, visit www.Kaseya.com and learn about Kaseya’s culture. Senior Automation QA Engineer – Playwright Focused What We Are Looking For We are seeking an Automation QA Engineer with a passion for modern web automation and software quality. The ideal candidate has strong experience in Playwright, a solid understanding of automated testing strategies, and a continuous improvement mindset. What You’ll Do Design, develop, and maintain automated test scripts using Playwright (Typescript) and other modern automation tools Execute automated test cases to validate web application functionality, performance, and security Collaborate with developers and product teams to define test requirements and create effective, scalable test plans Analyze test results, log and track defects, and partner with engineering teams to ensure timely resolution Enhance and optimize existing Playwright-based automation frameworks to ensure coverage, reliability, and scalability Conduct regression testing to verify that new releases do not impact existing functionality Integrate automated testing into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI) Stay informed of emerging test automation trends and contribute ideas to improve QA practices Implement automation strategies across functional, regression, and smoke testing suites Continuously review and improve test coverage and test case efficiency Assist with manual testing of new features Mentor and guide Manual QA engineers through onboarding and upskilling in automation What You’ll Bring Education & Experience Bachelor’s degree in Computer Science, Engineering, or a related field 3+ years of experience in test automation for web applications Technical Skills Hands-on experience with Playwright (JavaScript or TypeScript preferred) Proficiency in at least one modern programming language: JavaScript, TypeScript, Python, or Java Familiarity with other automation tools (e.g., Selenium, Cypress) is a plus Knowledge of CI/CD systems such as GitHub Actions, Jenkins, or GitLab CI API testing experience using Postman, RestAssured, or similar tools Solid understanding of software testing methodologies and Agile/Scrum practices Soft Skills Analytical thinker with excellent problem-solving abilities Strong communication and cross-team collaboration skills Self-driven and able to manage priorities in a dynamic environment Why Join Us? If you\'re excited about quality and automation, passionate about Playwright, and eager to build high-quality software at scale, we’d love to hear from you! Join the Kaseya growth rocket ship and see how we are #ChangingLives! Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. #J-18808-Ljbffr
Overview Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Founded in 2000, Kaseya serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. For more information about Kaseya, visit www.Kaseya.com. Kaseya is looking for an enthusiastic, results-driven and hungry Account Executive to be at the forefront of our “land and expand” growth strategy, responsible for prospecting, nurturing, and closing new accounts. Responsibilities New Business Development: Lead the charge in identifying and closing new business opportunities. Manage the entire sales cycle from prospecting to closing, driving revenue by selling Kaseya's suite of solutions to potential clients. Engage Executive-Level Decision Makers: Hold discussions with CIOs, CISOs, CTOs, CCOs, and VPs, articulating the value of Kaseya’s solutions. Overcome objections, secure next steps, and ensure a successful close. Achieve Sales Targets: Meet and exceed monthly, quarterly, and annual sales goals by creating value for in-house IT departments with Kaseya’s products. Own your targets and deliver results consistently. Collaborative Sales Approach: Work closely with internal teams such as marketing, engineering, and product specialists to leverage resources and drive sales. Use video conferencing and personalized video communication to nurture relationships and close deals. Opportunity Management & Forecasting: Track opportunities throughout the sales process, ensuring strong Salesforce hygiene and accurate forecasting. Participate in account reviews with management and teams to strategize for success. Customer Experience: Provide a professional and seamless sales experience, from initial meetings to post-sale follow-ups, ensuring that all prospects have a positive and efficient experience with Kaseya. Sales Campaigns & Programs: Participate in ad-hoc sales campaigns to help create new prospects and opportunities, contributing to Kaseya’s growth. Requirements 2+ years of sales experience in a hunter role, with a proven ability to prospect, cold call leads and close deals. High energy, driven, and passionate about sales and customer success, with a desire to earn significant sales commissions. A track record of consistently exceeding sales goals and a deep focus on metrics and KPIs to drive success. Motivated, competitive, and resilient with a "go-getter" mindset. Strong organizational, interpersonal, and communication skills. Experience with CRM applications (Salesforce) to manage leads, opportunities, and accounts. Why Kaseya? Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a high-impact role. If you’re ready to take your sales career to the next level and help our customers grow, we’d love to hear from you! Equal Employment Opportunity Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. Seniority level Entry level Employment type Full-time Job function Sales and Business Development Industries: Software Development #J-18808-Ljbffr
Overview Solution Specialist role at Kaseya . Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com, a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve. Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com. Kaseya is not your typical company. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers. A Solution Specialist will have a strong sales acumen and proven B2B/SaaS sales experience to leverage their expertise to enable our account management teams to cross sell Kaseya\'s products to our existing customer base. You will manage and close new sales through forecasting, account resource allocation, account strategy, and planning. This is a technical sales position that involves basic knowledge and experience with IT sales. As a Solutions Specialist, you will be an expert on one to three products, responsible for selling to Managed Service Providers (MSPs) and Internal IT customers. You will serve as a strategic, go-to member for our sales teams to identify and convert transactional and high-value deals. Your product knowledge and technical expertise will enable you to utilise a consultative, trusted-advisor approach, to diagnose unique needs, position differentiated benefits of the product, and close business. Duties and Responsibilities Evangelist for Kaseya products: Act as product advocate within each assigned sales teams. Share best practices and known solutions with Account Managers and become their go-to sales resource. Create and deliver product presentations and demos to internal and external key stakeholders. Diligent follow-up on all assigned account management generated leads. Marshal internal resources as needed through the entirety of the sale cycle. Quickly understand client technical and business requirements. Conduct business-oriented discussions with customers to understand their needs. Sell and articulate VALUE of how our software will benefit their business. Streamline complex processes and implement workflows designed to increase efficiency. Provide direct customer feedback and competitive intelligence to continually improve our products. Manage and maintain an opportunity pipeline spread across multiple account managers. Provide accurate forecasting/pipeline information to management on a weekly basis. Consistently meet and exceed monthly quotas. The Ideal Candidate Has 2+ years demonstrable track record of successful inside sales experience leading product demos Technical knowledge and/or experience in security software sales Technical understanding of technology Personable, with convincing phone etiquette, high energy, and enthusiasm Experience building relationships at all levels of an organization over the phone Track record of meeting/exceeding sales targets in a telephone environment Commitment to joining the Kaseya growth rocket ship and contributing to #ChangingLives Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. Seniority level Entry level Employment type Full-time Job function Sales and Business Development Industries Software Development Referrals increase your chances of interviewing at Kaseya by 2x. Sign in to set job alerts for Solutions Specialist roles. #J-18808-Ljbffr
Join to apply for the Staff AI DevOps Engineer role at Kaseya 6 days ago Be among the first 25 applicants Join to apply for the Staff AI DevOps Engineer role at Kaseya Get AI-powered advice on this job and more exclusive features. Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve. Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture. Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers. WHAT YOU’LL DO: Join the dynamic team at Kaseya as a Staff AI DevOps Engineer. Build the automated backbone of our AI platform, driving CI/CD, Infrastructure as Code (IaC), and observability to enable secure, scalable, and rapid deployment of intelligent agents. You’ll lead the implementation of cutting-edge DevOps, DevSecOps, and MLOps practices that support continuous delivery, resilient infrastructure, and high-performance AI workloads. Your work will ensure our platform is production-ready, cost-efficient, and built for speed, security, and scale. WHAT WE ARE LOOKING FOR: We’re looking for a DevOps engineer who thrives in cross-functional environments and brings a strong sense of ownership to infrastructure reliability and automation. You’re a clear communicator who can collaborate across AI, platform, and security teams, document complex systems, and present infrastructure strategies and metrics to technical leadership. You lead by example, mentor others in best practices, and drive continuous improvement across the stack. ESSENTIAL DUTIES AND RESPONSIBILITIES: Design and maintain CI/CD pipelines to support rapid, reliable delivery of AI platform components and intelligent agents Implement Infrastructure as Code (IaC) and GitOps practices to manage scalable, secure, and reproducible environments Build and manage Kubernetes-based infrastructure, including custom operators and GPU workload orchestration Integrate MLOps tools and workflows to streamline the AI model lifecycle from training to deployment Deploy and maintain observability stacks for real-time monitoring, tracing, and alerting across distributed systems Enforce DevSecOps practices, including automated security scanning, policy-as-code, and compliance automation Optimize cloud infrastructure for performance, cost-efficiency, and resilience WHAT YOU’LL BRING: 5-7+ years of experience in DevOps, SRE, or platform engineering Expert with CI/CD pipeline design and tools (e.g., Jenkins, GitLab CI, ArgoCD, GitHub Actions) Deep Infrastructure as Code (IaC) experience (e.g., Terraform, CloudFormation) Expert-level Kubernetes administration and workload management, including custom controllers/operators Experience with MLOps tools and platforms (e.g., Kubeflow, MLflow, Seldon Core, Vertex AI Pipelines, SageMaker MLOps) Proficiency in implementing observability stacks (e.g., Prometheus, Grafana, Jaeger, OpenTelemetry, ELK) Advanced scripting skills (Python, Bash, Go) Strong understanding of cloud security best practices and automation (e.g., SAST, DAST) Experience with GitOps workflows and cost optimization strategies for cloud-based AI/ML workloads Bachelor's degree in Computer Science, DevOps Engineering, or a related field Preferred: Certified Kubernetes Administrator (CKA), DevOps Engineer certifications (AWS, Azure, GCP), or FinOps certification Additional certifications in MLOps platforms or cloud security are a plus Nice to Have: Experience with GPU cluster management and scheduling (e.g., Slurm, NVIDIA AI Enterprise, MIG) Infrastructure for federated learning or edge AI Proficiency in policy-as-code frameworks (e.g., Open Policy Agent, Kyverno) AI model serving optimization and inference acceleration (e.g., TensorRT, ONNX Runtime) Experience building and managing serverless infrastructure for AI FinOps certification or strong practical experience Join the Kaseya growth rocket ship and see how we are #ChangingLives ! Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Kaseya by 2x Get notified about new DevOps Engineer jobs in Dublin, County Dublin, Ireland . Dublin, County Dublin, Ireland 2 months ago Dublin, County Dublin, Ireland 1 month ago Dublin, County Dublin, Ireland 2 months ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 17 hours ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 2 days ago Dublin, County Dublin, Ireland 4 days ago Dublin, County Dublin, Ireland 3 weeks ago Dublin, County Dublin, Ireland 3 weeks ago Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 3 weeks ago Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland €95,000.00-€105,000.00 16 hours ago Dublin, County Dublin, Ireland 3 weeks ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 3 days ago Dublin, County Dublin, Ireland 23 hours ago Dublin, County Dublin, Ireland 4 days ago Dublin, County Dublin, Ireland 3 weeks ago Senior Cloud Infrastructure Operations Engineer Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 3 months ago Site Reliability Engineer (Swing shift 4 days a week) Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 4 days ago Senior Site Reliability / Gitops Engineer Dublin, County Dublin, Ireland €100,000.00-€110,000.00 2 weeks ago Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Overview Join to apply for the Staff AI Platform Engineer II role at Kaseya Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Founded in 2000, Kaseya serves customers in over 20 countries and manages endpoints worldwide. For more information, visit www.Kaseya.com. What You’ll Do Join the dynamic team at Kaseya as a Staff Software Engineer in AI Platform Engineering. Build the intelligent core of our AI platform by engineering autonomous agents that perceive, reason, and learn in complex environments. You’ll pioneer agentic design using LLMs, knowledge graphs, and reasoning engines to create adaptive, context-aware systems that operate in real-world conditions. What We Are Looking For We’re looking for a collaborative and innovative Staff Software Engineer with a strong foundation in agentic architectures and applied machine learning. You should be comfortable working across disciplines, communicating complex AI concepts to both technical and non-technical audiences, and contributing to a culture of experimentation and excellence. Leadership in AI innovation is highly valued. Essential Duties and Responsibilities Design and implement autonomous AI agents capable of perception, reasoning, and learning in complex, real-world environments Develop and optimize agentic architectures using LLMs, vector databases, and symbolic reasoning engines Apply advanced RAG techniques, prompt engineering, and fine-tuning to enhance agent performance Integrate knowledge graphs and multi-modal capabilities to enable contextual and adaptive agent behavior Build robust evaluation frameworks, A/B testing pipelines, and model versioning systems Collaborate with platform, data, and product teams to ensure seamless deployment and continuous improvement of intelligent agents What You’ll Bring 5-7+ years of experience in applied AI/ML, with a strong focus on building intelligent systems and autonomous agents Deep expertise in Python and/or TypeScript Hands-on experience with multiple LLMs (e.g., GPT, Llama, Claude, Gemini), including fine-tuning, advanced RAG techniques, and prompt engineering Proficiency with agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI Experience developing agent planning and reasoning algorithms (e.g., Tree of Thoughts, ReAct, Monte Carlo Tree Search) Strong background in model evaluation, A/B testing, and versioning for AI models Familiarity with vector databases (e.g., Pinecone, Milvus, Chroma) Experience with knowledge graphs (e.g., Neo4j, RDF) and symbolic AI approaches Understanding of multi-modal LLM capabilities and responsible AI practices Experience with explainable AI (XAI) and responsible AI toolkits Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field Preferred: PhD in AI, Cognitive Science, or related discipline Certifications in AI/ML (e.g., DeepLearning.AI, Google Cloud ML Engineer) are a plus Nice to Have Contributions to open-source AI projects Experience with causal inference and its application in agent decision-making Familiarity with formal methods for agent behavior verification Background in human-AI interaction design and UX for AI-powered applications Experience developing agents for domains like cybersecurity or IT operations automation Knowledge of neuro-symbolic AI and reinforcement learning from human feedback (RLHF) or direct preference optimization (DPO) Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to protected characteristics. Referrals increase your chances of interviewing at Kaseya. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries: Software Development We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Manager II, Software Engineering Full-Time Position Kaseya is the leading provider of complete IT Infrastructure and Security Management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. This role focuses on leading a software engineering team to build and scale a modern SaaS application with AI-enabled features. Kaseya closed on recent acquisitions and continues to grow internationally. For more information about our company and culture, visit www.Kaseya.com. Responsibilities Lead and mentor a high-performing team of engineers building and scaling a modern SaaS application. Drive adoption of modern SDLC practices including Agile, trunk-based development, and continuous delivery. Champion test-driven development (TDD) and behavior-driven development (BDD) to ensure quality is embedded from the start. Collaborate with product, design, and data science teams to deliver AI-enhanced features and intelligent automation. Guide the integration of AI/ML into engineering workflows and customer-facing capabilities. Establish and evolve observability practices including structured logging, distributed tracing, and real-time alerting. Promote a culture of automation across testing, deployment, infrastructure, and compliance. Partner with QA and DevOps to implement shift-left testing, automated regression suites, and performance testing pipelines. Lead incident response and postmortem processes to drive reliability and continuous improvement. Ensure secure coding practices and compliance with relevant data protection and privacy standards (e.g., SOC 2, GDPR). Incorporate customer feedback loops into the development lifecycle to drive product quality and usability. Oversee release planning and coordination to ensure smooth, low-risk deployments in a SaaS environment. Collaborate cross-functionally with support, sales, and customer success teams to align engineering priorities with business needs. Foster a culture of ownership, innovation, and accountability across the engineering team. Monitor emerging technologies and industry trends, proactively assessing their relevance and potential to enhance product capabilities and engineering practices. Requirements 5+ years of experience leading software engineering teams, including direct people management and technical leadership. Bachelor’s degree in Computer Science or a related technical field (or equivalent practical experience). Proven experience managing software engineering teams delivering cloud-native SaaS products. Strong grasp of DevOps principles, CI/CD pipelines, and infrastructure as code (IaC). Demonstrated experience with AI/ML technologies and their practical application in product development or engineering efficiency. Familiarity with observability stacks and SRE practices. Proficiency in TDD, BDD, and integrating quality gates into the development lifecycle. Extensive experience with multi-tenant SaaS architectures and managing performance at scale. Experience with feature flagging, canary deployments, and blue-green deployments. Understanding of compliance frameworks relevant to SaaS (e.g., ISO 27001, FedRAMP). Experience with incident management and on-call rotations in a production environment. Excellent communication and leadership skills, with a passion for mentoring and growing engineering talent. Strong organizational and time management skills, with the ability to prioritize effectively, manage team schedules, and deliver on multiple concurrent initiatives. Ability to balance technical depth with strategic thinking and business alignment. Tools Development & Deployment: GitHub, Docker, Kubernetes AI/ML: Azure AI, OpenAI, and similar Observability: Dynatrace, New Relic, Grafana, or similar QA & Testing: Selenium, Playwright, Postman, Cucumber, or similar Automation & IaC: Terraform, Ansible, Bicep, or similar Incident Management: PagerDuty, Opsgenie, or similar Security & Compliance: Snyk, SonarQube, or similar Collaboration: Microsoft Teams, Jira, and Confluence Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. #J-18808-Ljbffr
Overview Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Founded in 2000, Kaseya serves customers in over 20 countries and manages over 15 million endpoints worldwide. For more information, visit www.Kaseya.com. Join the dynamic team at Kaseya as a Staff AI QA Engineer. Ensure the reliability, safety, and ethical integrity of our AI platform by crafting advanced testing strategies and automation frameworks tailored for adaptive, large-scale agentic systems and complex integrations. You’ll validate AI behavior, secure data pipelines, and enforce quality standards across distributed systems, helping ensure our intelligent agents operate with precision, fairness, and resilience in real-world environments. What we are looking for We’re looking for a quality-focused engineer who can think critically about testing complex, adaptive systems. You’re a strong communicator who can clearly articulate quality risks and testing strategies to both technical and non-technical stakeholders. You thrive in collaborative environments, working closely with developers, data scientists, and product managers, and you bring leadership in QA best practices, mentoring, and ethical testing. Essential duties and responsibilities Design and implement comprehensive test strategies for AI agents, platform services, and integrations Develop and maintain automated test frameworks for functional, performance, and security testing Validate AI model behavior, including prompt outputs, bias detection, and explainability Conduct rigorous testing of distributed systems, microservices, and real-time data pipelines Ensure data quality and integrity across training, inference, and integration workflows Collaborate with engineering and research teams to define quality gates and ethical testing standards Drive continuous testing practices in agile development cycles What you’ll bring 5–7+ years of experience in QA or Test Engineering Mastery of test automation frameworks (e.g., PyTest, Playwright, Selenium, RestAssured) Strong API testing skills (manual and automated) Experience with performance, load, and high-volume stress testing (e.g., JMeter, k6s, Gatling) Deep understanding of AI/ML model evaluation metrics and methodologies Experience testing distributed systems and microservices architectures Proficiency in data quality validation for AI training and inference workflows Experience with contract testing for microservices Ability to develop test strategies for non-deterministic and adaptive behaviors in AI systems (e.g., prompt validation, guardrails, bias detection) Familiarity with AI model testing tools (e.g., CheckList, Giskard, Deepchecks) Experience with test planning, execution, and reporting in agile environments Bachelor’s degree in Computer Science, Software Engineering, or a related field Preferred: Certifications in QA Automation, AI/ML Testing, or Ethical AI (e.g., ISTQB, Certified Ethical Emerging Technologist) Additional training in AI safety, fairness, or model validation is a plus Nice to Have Experience with AI red teaming and adversarial testing techniques Explainability testing and validation for XAI methods (e.g., LIME, SHAP) Usability testing for AI-driven UIs and agent interactions Familiarity with data privacy testing techniques (e.g., differential privacy validation) Security testing for AI models (e.g., model inversion, membership inference, poisoning attacks) Experience testing AI ethics, fairness, and bias Knowledge of formal verification methods for AI Experience building synthetic data generation pipelines for testing Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, disability, veteran status, marital status, or any other characteristic protected by applicable law. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr
Overview Join to apply for the Staff AI QA Engineer role at Kaseya . Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Founded in 2000, Kaseya serves customers in over 20 countries and manages over 15 million endpoints worldwide. To learn more, visit www.Kaseya.com . Kaseya is not your typical company. The thousands of people who succeed at Kaseya are prepared to go above and beyond for the betterment of our customers. What you’ll do Join the dynamic team at Kaseya as a Staff AI QA Engineer. Ensure the reliability, safety, and ethical integrity of our AI platform by crafting advanced testing strategies and automation frameworks tailored for adaptive, large-scale agentic systems and complex integrations. You’ll validate AI behavior, secure data pipelines, and enforce quality standards across distributed systems to ensure our intelligent agents operate with precision, fairness, and resilience in real-world environments. What we are looking for We’re looking for a quality-focused engineer who can think critically about testing complex, adaptive systems. You’re a strong communicator who can clearly articulate quality risks and testing strategies to both technical and non-technical stakeholders. You thrive in collaborative environments, working closely with developers, data scientists, and product managers, and you bring leadership in QA best practices, mentoring, and ethical testing. Essential duties and responsibilities Design and implement comprehensive test strategies for AI agents, platform services, and integrations Develop and maintain automated test frameworks for functional, performance, and security testing Validate AI model behavior, including prompt outputs, bias detection, and explainability Conduct rigorous testing of distributed systems, microservices, and real-time data pipelines Ensure data quality and integrity across training, inference, and integration workflows Collaborate with engineering and research teams to define quality gates and ethical testing standards Drive continuous testing practices in agile development cycles What you’ll bring 5–7+ years of experience in QA or Test Engineering Mastery of test automation frameworks (e.g., PyTest, Playwright, Selenium, RestAssured) Strong API testing skills (manual and automated) Experience with performance, load, and high-volume stress testing (e.g., JMeter, k6, Gatling) Deep understanding of AI/ML model evaluation metrics and methodologies Experience testing distributed systems and microservices architectures Proficiency in data quality validation for AI training and inference workflows Experience with contract testing for microservices Ability to develop test strategies for non-deterministic and adaptive behaviors in AI systems (e.g., prompt validation, guardrails, bias detection) Familiarity with AI model testing tools (e.g., CheckList, Giskard, Deepchecks) Experience with test planning, execution, and reporting in agile environments Bachelor’s degree in Computer Science, Software Engineering, or a related field Preferred: Certifications in QA Automation, AI/ML Testing, or Ethical AI (e.g., ISTQB, Certified Ethical Emerging Technologist) Additional training in AI safety, fairness, or model validation is a plus Nice to have Experience with AI red teaming and adversarial testing techniques Explainability testing and validation for XAI methods (e.g., LIME, SHAP) Usability testing for AI-driven UIs and agent interactions Familiarity with data privacy testing techniques (e.g., differential privacy validation) Security testing for AI models (e.g., model inversion, membership inference, poisoning attacks) Experience testing AI ethics, fairness, and bias Knowledge of formal verification methods for AI Experience building synthetic data generation pipelines for testing Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Kaseya. Get notified about new Staff Quality Assurance Engineer jobs in Dublin, Ireland. #J-18808-Ljbffr
Join to apply for the Staff AI DevOps Engineer role at Kaseya 5 days ago Be among the first 25 applicants Join to apply for the Staff AI DevOps Engineer role at Kaseya Get AI-powered advice on this job and more exclusive features. Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve. Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture. Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers. WHAT YOU’LL DO: Join the dynamic team at Kaseya as a Staff AI DevOps Engineer. Build the automated backbone of our AI platform, driving CI/CD, Infrastructure as Code (IaC), and observability to enable secure, scalable, and rapid deployment of intelligent agents. You’ll lead the implementation of cutting-edge DevOps, DevSecOps, and MLOps practices that support continuous delivery, resilient infrastructure, and high-performance AI workloads. Your work will ensure our platform is production-ready, cost-efficient, and built for speed, security, and scale. WHAT WE ARE LOOKING FOR: We’re looking for a DevOps engineer who thrives in cross-functional environments and brings a strong sense of ownership to infrastructure reliability and automation. You’re a clear communicator who can collaborate across AI, platform, and security teams, document complex systems, and present infrastructure strategies and metrics to technical leadership. You lead by example, mentor others in best practices, and drive continuous improvement across the stack. ESSENTIAL DUTIES AND RESPONSIBILITIES: Design and maintain CI/CD pipelines to support rapid, reliable delivery of AI platform components and intelligent agents Implement Infrastructure as Code (IaC) and GitOps practices to manage scalable, secure, and reproducible environments Build and manage Kubernetes-based infrastructure, including custom operators and GPU workload orchestration Integrate MLOps tools and workflows to streamline the AI model lifecycle from training to deployment Deploy and maintain observability stacks for real-time monitoring, tracing, and alerting across distributed systems Enforce DevSecOps practices, including automated security scanning, policy-as-code, and compliance automation Optimize cloud infrastructure for performance, cost-efficiency, and resilience WHAT YOU’LL BRING: 5-7+ years of experience in DevOps, SRE, or platform engineering Expert with CI/CD pipeline design and tools (e.g., Jenkins, GitLab CI, ArgoCD, GitHub Actions) Deep Infrastructure as Code (IaC) experience (e.g., Terraform, CloudFormation) Expert-level Kubernetes administration and workload management, including custom controllers/operators Experience with MLOps tools and platforms (e.g., Kubeflow, MLflow, Seldon Core, Vertex AI Pipelines, SageMaker MLOps) Proficiency in implementing observability stacks (e.g., Prometheus, Grafana, Jaeger, OpenTelemetry, ELK) Advanced scripting skills (Python, Bash, Go) Strong understanding of cloud security best practices and automation (e.g., SAST, DAST) Experience with GitOps workflows and cost optimization strategies for cloud-based AI/ML workloads Bachelor's degree in Computer Science, DevOps Engineering, or a related field Preferred: Certified Kubernetes Administrator (CKA), DevOps Engineer certifications (AWS, Azure, GCP), or FinOps certification Additional certifications in MLOps platforms or cloud security are a plus Nice to Have: Experience with GPU cluster management and scheduling (e.g., Slurm, NVIDIA AI Enterprise, MIG) Infrastructure for federated learning or edge AI Proficiency in policy-as-code frameworks (e.g., Open Policy Agent, Kyverno) AI model serving optimization and inference acceleration (e.g., TensorRT, ONNX Runtime) Experience building and managing serverless infrastructure for AI FinOps certification or strong practical experience Join the Kaseya growth rocket ship and see how we are #ChangingLives ! Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Kaseya by 2x Sign in to set job alerts for “DevOps Engineer” roles. Dublin, County Dublin, Ireland 2 months ago Dublin, County Dublin, Ireland 1 month ago Dublin, County Dublin, Ireland 2 months ago Dublin, County Dublin, Ireland 22 hours ago Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 3 days ago Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 3 weeks ago Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 3 weeks ago Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 1 hour ago Dublin, County Dublin, Ireland 2 days ago Dublin, County Dublin, Ireland 3 days ago Dublin, County Dublin, Ireland 2 weeks ago Senior Cloud Infrastructure Operations Engineer Dublin, County Dublin, Ireland 2 weeks ago Dublin, County Dublin, Ireland 3 months ago Site Reliability Engineer (Swing shift 4 days a week) Dublin, County Dublin, Ireland 1 week ago Dublin, County Dublin, Ireland 3 days ago Dublin, County Dublin, Ireland €100,000.00-€110,000.00 2 weeks ago Dublin, County Dublin, Ireland 1 week ago Senior Site Reliability / Gitops Engineer Dublin, County Dublin, Ireland 8 hours ago Dublin, County Dublin, Ireland 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Overview QA Automation Engineer role at Kaseya. We are seeking a detail-oriented and versatile QA Engineer to join our EDR/AV/RWD QA team, responsible for validating the performance, stability, and security of our endpoint detection and response platform. This role requires hands-on experience with both manual and automated testing across UI, API, and agent levels. You will be involved in testing new features, verifying bug fixes, and running exploratory and regression tests using a modern, security-focused tech stack. Key Responsibilities Design, develop, and execute manual and automated test cases for API, UI, and agent-level components Validate bug fixes and new features as part of Agile development cycles Perform exploratory testing to uncover hidden issues and edge cases Maintain and expand automated test suites using Python, Pytest, and Postman Collaborate with developers, product managers, and DevOps to ensure quality across the SDLC Simulate real-world attack scenarios using tools like KnowBe4 Ransomware Simulator and MITM proxies Monitor and validate system behavior using AWS tools such as EC2, S3, and CloudWatch Troubleshoot test and system issues across Windows, macOS, and Linux environments Maintain and configure test environments using Ansible and PowerShell Required Qualifications 3+ years of experience in a QA role with a strong focus on both manual and automated testing Proficiency in Python and Pytest for building and maintaining automated test suites Experience testing APIs using tools like Postman Familiarity with AWS services (EC2, S3, CloudWatch) Solid knowledge of Windows, Linux, and macOS OS environments Experience with network and desktop troubleshooting Familiarity with QA tools like Zephyr Scale, VS Code, and source control systems (e.g., Git) Strong understanding of QA methodologies and SDLC in an Agile environment Preferred Qualifications Experience testing security applications, especially EDR or AV solutions Exposure to load testing or chaos engineering tools and practices Familiarity with Java in a testing context Experience with MITM proxies and security simulation tools Soft Skills Excellent analytical and problem-solving skills Strong written and verbal communication skills Ability to work independently and collaboratively in a fast-paced team A passion for quality and continuous improvement What We Offer Competitive salary and benefits Opportunities for learning and advancement Exposure to cutting-edge security technology Collaborative and supportive work culture Location Dublin, County Dublin, Ireland Employment details Seniority level: Mid-Senior level Employment type: Full-time Job function: Quality Assurance Industry: Software Development Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law. #J-18808-Ljbffr
