Quality Assurance Lead

Lead – Quality Assurance(Cloud & Automation | Observability Platform) Experience: 5+ years of proven experience showing increasing responsibility with both hands-on Quality Assurance and leadership/ownership roles in Enterprise (B2B) software We’re a leading technology firm delivering innovative software solutions in the Observability space, revolutionizing how businesses gain insights into their systems and applications. Our flagship product is a world-class full-stack observability platform that powers synthetic monitoring, real-time data pipelines, dashboards, and developer tools used globally. We’re on a mission to build fast, resilient systems that users love—and we need talented engineers to help us get there. Collaborate with engineering, product, and operations teams to identify defects, conduct tests, and validate functionality in software products and cloud services • test plans, cases, scripts, data, and automation tooling • Collaborate with engineering on test data management, continuous integration, and release management, error tracking, code review, and quality improvement processes • of quality assurance • Create and maintain up-to-date testing procedures, processes, solutions, scripts, and data • Drive continuous improvement of our products and processes by defining, building, and executing a mature set of QA functions and procedures • Evaluate, acquire, implement, document, and maintain QA automation solutions • Provide regular management reporting on test and QA practices and results • Build, document, and grow ‘test-driven development’ practices, data, and use cases Strong analytical and problem-solving skills, deep understanding of software testing methodologies (incl. Experience in defining, delivering, leading, and growing effective quality assurance and testing programs across the entire end-to-end software delivery lifecycle, including unit, functional, regression, acceptance, integration, security, and performance testing • Experience building, testing, and/or using key components of enterprise-class Observability (O11Y) and IT Monitoring tools, including log management, data analytics, metrics, traces, profiling, alerting, event management, root cause analysis, Open Telemetry, telemetry pipelines, and tooling • Experience using AI systems and techniques (incl. Machine Learning, Generative AI (Agentic AI) in software delivery, testing, quality assurance, and system management • Experience building and/or using enterprise-class IT management products and solutions, including IT Infrastructure management (ITIM), IT operations management (ITOM), Observability, IT Operations Automation (ITOA), Artificial Intelligence for IT Operations (AIOps), log management, Application Performance Management (APM), synthetic transaction monitoring (STM), and/or real user monitoring (RUM) • Experience delivering enterprise software and cloud services using modern software delivery and systems management techniques, including Cloud Computing (esp. IaaS and SaaS), API Development, Containerization, GitHub/GitOps, Kubernetes, Platform Engineering, Infrastructure as Code, Agile Development, Continuous Integration/Continuous Delivery (CI/CD), Serverless Computing, Test-Driven Development (TDD), Observability, DevOps, and Site Reliability Engineering • Experience with system and application performance testing, benchmarking, sizing • Experience defining, evaluating, trialing, deploying, and managing a complete software and test harness, incl. test definitions, test cases, test data, processes, and tooling • Experience defining and executing QA functions/frameworks for on-premises, MSP-hosted, and cloud operating environments, including Windows, Linux, Amazon Web Services, Oracle Cloud, Google Compute Cloud, and Microsoft Azure • Experience defining and executing QA functions/frameworks for multiple programming languages, including Go, Python, TypeScript/JavaScript, Java, .NET, and C++ • Proven success in testing and delivering enterprise-class software solutions and Excellent communication skills and ability to work with and provide clear and actionable feedback at all levels, from highly technical engineers to senior executive leaders • Optional/Desired – experience with Observability vendors and tools such as Splunk, Datadog, and Chronosphere. Optional/Desired – experience with specific software delivery tools, including Jira, Confluence, GitHub, Bitbucket, LambdaTest, Harness, Slack, Puppet/RunDeck, PagerDuty, Prometheus, Selenium, Playwright, Cypress, SonarQube, and/or Jenkins