Lead – Quality Assurance(Cloud & Automation | Observability Platform)
Location : Bangalore, India
Experience : 5+ years of proven experience showing increasing responsibility with both
hands-on Quality Assurance and leadership / ownership roles in Enterprise (B2B)
software
NP : Max 30 days
Budget : !2-14LPA
About Us :
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.
Responsibilities
- Collaborate with engineering, product, and operations teams to identify defects, conduct tests, and validate functionality in software products and cloud services
- Build, own, manage, share, and grow a comprehensive test harness across all products and services, incl. 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
Document, maintain, train, enable, and coach other team members on first principles, known good processes, documented ‘best practices’, etc., of quality assuranceCreate and maintain up-to-date testing procedures, processes, solutions, scripts, and dataDrive continuous improvement of our products and processes by defining, building, and executing a mature set of QA functions and proceduresEvaluate, acquire, implement, document, and maintain QA automation solutionsEnable other team members with documented test automation processesProvide regular management reporting on test and QA practices and resultsEvaluate and sign off on or reject new platform, product, and feature releasesBuild, document, and grow ‘test-driven development’ practices, data, and use casesQualifications
Strong analytical and problem-solving skills, deep understanding of software testing methodologies (incl. test automation approaches and solutions), and ability to work proactively and collaboratively across functions, incl. technical and go-to-market teamsExperience 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 testingExperience 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 toolingExperience using AI systems and techniques (incl. Machine Learning, Generative AI (Agentic AI) in software delivery, testing, quality assurance, and system managementExperience 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), ServerlessComputing, Test-Driven Development (TDD), Observability, DevOps, and Site Reliability Engineering
Experience with system and application performance testing, benchmarking, sizingExperience defining, evaluating, trialing, deploying, and managing a complete software and test harness, incl. test definitions, test cases, test data, processes, and toolingExperience 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 AzureExperience 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 andservices
Excellent communication skills and ability to work with and provide clear and actionable feedback at all levels, from highly technical engineers to senior executive leadersOptional / Desired – experience with Observability vendors and tools such as Splunk, Datadog, and Chronosphere. Dynatrace, New Relic, Elasticsearch, LogicMonitor, Graylog, Grafana, Prometheus, Cribl, Mezmo Edge Delta,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