Top Tech Jobs & Startup Jobs in Pune

Leads test architecture, automation frameworks, and quality engineering strategy for distributed cloud-native systems. Drives AI-assisted testing, CI/CD quality gates, observability, release validation, root cause analysis, and modernization initiatives. Partners with engineering and product leadership on quality governance, mentors SDETs and QA engineers, and ensures scalable, reliable, and secure software delivery.

Build and maintain large-scale automated testing frameworks, libraries, infrastructure, and test suites for enterprise SaaS applications, APIs, services, and distributed systems. Integrate automation into CI/CD pipelines, troubleshoot application and production issues, validate AI-generated code and tests, improve coverage and reliability, and collaborate with engineering, DevOps, product, and QA teams. The role requires independently delivering extensive automation coverage and supporting issue reproduction outside standard hours when needed.

Early-career software engineer who develops, tests, debugs, and maintains cloud-based IT operations and device management features. Contributes to backend services, APIs, integrations, automated tests, and CI/CD, participates in code reviews and agile processes, and collaborates across product and operations.

Build and maintain automated testing frameworks for endpoint management agents across Windows, macOS, Linux, and mobile platforms. Develop functional, integration, regression, performance, resiliency, and system-level tests for device management workflows, OS integrations, recovery scenarios, and security capabilities. Troubleshoot complex defects, analyze logs and telemetry, reproduce customer issues, partner on root-cause analysis, and use AI-assisted development tools to expand test coverage and improve engineering productivity.

Develop, test, and maintain cloud-based platform services and backend features. Contribute to APIs, integrations, and core platform components; participate in code reviews, design, CI/CD, troubleshooting, and production support. Improve reliability, security, scalability, and performance while collaborating with cross-functional teams.

Develop and maintain automated testing frameworks for endpoint agents across Windows, macOS, Linux, and mobile platforms. Build functional, integration, regression, performance, resiliency, and system-level tests for device management workflows, OS integrations, security features, and endpoint recovery. Troubleshoot defects using logs, debugging, telemetry, and diagnostics; reproduce customer issues; support root-cause analysis; and use AI-assisted tools to expand test coverage and improve automation quality.

Design, build, test, and maintain scalable SaaS platform features and services. Participate in design and code reviews, troubleshoot production issues, improve reliability/security, mentor junior engineers, and collaborate across product, QA, and operations.

Designs and maintains large-scale automated testing frameworks, libraries, infrastructure, and suites for enterprise SaaS applications, APIs, services, and distributed systems. Integrates testing into CI/CD pipelines, troubleshoots application and production issues, validates AI-generated code, improves test coverage and reliability, and collaborates with engineering, DevOps, product, and QA teams. The role requires extensive hands-on programming, cloud experience, independent automation ownership, and occasional after-hours incident support.

Build and maintain automated testing frameworks for endpoint management agents across Windows, macOS, Linux, and mobile platforms. Develop functional, integration, regression, performance, resiliency, and system-level tests covering installation, upgrades, patching, device management, recovery, and security. Troubleshoot complex endpoint defects, analyze logs and telemetry, reproduce customer issues, and partner with engineering and support on root-cause analysis. Use AI-assisted development tools to expand test coverage and maintain automation assets.

Provides organization-wide technical leadership for large-scale distributed systems and platform architectures. Defines technical strategy, drives scalability, reliability, modernization, observability, and developer productivity, and leads cross-team initiatives without direct authority. Partners with engineering, product, and business leaders on architecture and roadmaps, advances AI-assisted development, mentors senior engineers, and contributes to technical due diligence.