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(Immediate Start) Quality Assurance Lead-Observability Platform

TechConnexions - Startup Hiring SpecialistsIndia

12 hours ago

Job description

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 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

Enable other team members with documented test automation processes

Provide regular management reporting on test and QA practices and results

Evaluate and sign off on or reject new platform, product, and feature releases

Build, document, and grow ‘test-driven development’ practices, data, and use cases

Qualifications

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 teams

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

services

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. 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

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Quality Assurance • India