QA Manager

Bengaluru, India

Full Time

Experienced

About Eagle Eye Networks:

Eagle Eye Networks is the world's leading cloud video surveillance platform. Powered by an ever evolving set of powerful AI and analytics, our open platform provides global security, instantaneous visibility and customizable insights directly to our customers on the Web, Desktop and Mobile.

Overview:

As our SQA/Test leader you will build and lead an international and matrixed team of 5-16 QA/Test engineers that test applications, code, APIs and features of Eagle Eye Network’s flagship devices and Services. As part of our Agile delivery teams your group will be responsible for creating and executing test plans that range from unit and API testing at the lowest level of our technology stack all the way up through manual and automated end-to-end testing of services, devices, applications and features. In this role, you will foster an environment that allows your team members to become the champions for the quality of our offerings, guide them in the design and implementation of test plans, and encourage open communication of potential project risks. You should be at ease working in a fast-paced, collaborative environment in which developing and cultivating partnerships with multifunctional teams is key to long term success. A start-up mindset is required as we are always looking for creative ways to take on problems and increase the overall quality of our products.

What You’ll Do

Build, lead, and mentor a globally distributed QA/Test organization (5–16 engineers), establishing clear ownership, performance expectations, and career development paths.
Create and sustain a culture of accountability, documentation, continuous improvement, and high quality standards.
Own end-to-end test strategy across unit, integration, API, system, performance, security, regression, and end-to-end testing.
Ensure test coverage aligns with real customer workflows, business risk, and release priorities.
Define release readiness criteria and quality gates for all product launches.
Lead API testing strategy across REST and service-based architectures.
Implement contract testing, schema validation, and API versioning strategies.
Validate authentication, authorization, rate limiting, error handling, idempotency, and backward compatibility.
Integrate API quality metrics and automated quality gates into CI/CD pipelines.
Drive a balanced automation strategy that maximizes coverage, reliability, and execution speed.
Integrate automated testing into CI/CD pipelines to provide fast, actionable feedback.
Reduce test flakiness and improve pipeline stability and signal quality.
Apply AI-driven techniques to improve quality outcomes, including test case generation, coverage analysis, risk-based regression prioritization, defect clustering, root-cause analysis, log analysis, and anomaly detection.
Ensure AI usage is secure, explainable, and aligned with company data governance and security standards.
Lead testing for device, firmware, and cloud service integration workflows.
Build, maintain, and scale a hardware testing lab to validate compatibility, performance, and third-party integrations.
Partner with Engineering and DevOps/SRE to define and monitor quality signals, release health metrics, and operational reliability.
Leverage observability data, incidents, and postmortems to prevent defects and continuously improve quality.
Track and improve key quality metrics including escaped defects, automation reliability, test coverage, and release confidence.
Act as the quality voice across Product, Engineering, and Leadership, proactively surfacing risk and driving alignment on priorities and tradeoffs.
Champion quality as a core business differentiator rather than a final checkpoint.

Required Qualifications

10+ years in software quality/testing with increasing leadership responsibility; strong preference for cloud-connected devices/services.
Proven success leading QA in Agile environments with demonstrated thought leadership on quality in CI/CD pipelines.
Strong technical proficiency with web-centric languages such as Java and/or Python, and familiarity with lower-level environments (C/C++, firmware, embedded).
Deep experience testing distributed systems and cloud services, including microservices architectures.
Expertise with test frameworks and tooling for API, integration, and E2E automation.
Experience with modern infrastructure and tooling: Docker, Kubernetes, virtualization, and CI systems (e.g., GitHub Actions, Jenkins, GitLab CI, etc.).
Demonstrated experience building or running a hardware test lab supporting compatibility/performance testing.
Strong communication skills—able to drive alignment across Product, Engineering, and leadership.

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