Description

Product Engineer – Enterprise Analytics Services

Position Summary

Independent technical leader delivering complex software capabilities while contributing to architecture and mentoring peers.

Build the Future of Enterprise Analytics

Qualitrol's Enterprise Analytics Services organization develops AI-native, cloud-agnostic enterprise software that powers advanced analytics for critical electrical infrastructure. Engineers follow a Specification-Driven Agentic SDLC, collaborating with AI throughout architecture, implementation, testing, documentation, and validation while retaining full engineering accountability.

Mission

Own delivery of complex analytics services from specification through production deployment.

Areas of Stewardship

- Lead implementation of major epics.

- Author engineering specifications.

- Design resilient distributed services.

- Drive software quality, testing, and production readiness.

- Mentor Product Engineers.

What You'll Bring

6+ years building enterprise software, cloud-native development, APIs,



event-driven systems, plugins, testing automation, Agile, and AI-assisted engineering workflows.

Ways of Working

Work within Agile Scrum teams using Protected 6.0 principles. Collaborate daily with Product Owners, Product Architects, Quality Assurance, fellow engineers, and AI agents to deliver secure, observable, cloud-agnostic enterprise software.

Engineering Principles

- Own products, not features.

- Begin with specifications, not code.

- AI accelerates engineering; accountability remains human.

- Architecture is everyone's responsibility.

- Design once. Deploy anywhere.

- Security is a design requirement.

- Observability is a product capability.

- Optimize for customer outcomes.

Why Join Us

Help build one of the industry's most ambitious enterprise analytics platforms for critical infrastructure while shaping the future of AI-Native Product

📌 Product Engineer Enterprise Analytics Services (India)
🏢 Important Business
📍 India