SDE III - Backend
Glance
| Company | Glance |
| Category | Engineering |
| Location | Bangalore |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 4 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment.
Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping.
With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites.
Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Job Summary
We're looking for a Senior Backend Software Development Engineer (SDE 3) with deep technical expertise in building and operating production systems at scale. You'll own entire components/services within microservices and data pipelines that handle ~200K queries per second and process petabytes of data daily . This role demands hands-on coding excellence, strong Low-Level Design (LLD) skills, and complete ownership—from component architecture through infrastructure management to cost optimization. You'll architect solutions, lead technical decisions, and drive operational excellence while shipping code daily.
Key Responsibilities:
Component Ownership: Own one or more critical components/services end-to-end—responsible for architecture, development, deployment, operations, and evolution
Technical Ownership: Own the entire lifecycle of your components—design, implementation, testing, deployment, monitoring, incident response, and continuous improvement
Low-Level Design: Create detailed technical designs (LLD) for complex systems—defining data models, APIs, concurrency patterns, and failure modes
Hands-on Development: Write production-grade code daily—this is not a purely architectural role; you'll be deep in the codebase
Infrastructure Ownership: Own and operate the infrastructure your components run on—capacity planning, scaling, reliability improvements
Cost Management: Drive cost optimization for owned components—analyze spending, identify waste, implement efficient architectures
Scale & Performance: Build and optimize systems handling 200K+ QPS and petabyte-scale data processing
Observability: Design and implement comprehensive monitoring, alerting, and debugging capabilities for owned components
Incident Leadership: Lead incident response for your components and related services, conduct post-mortems, drive systemic improvements
On-Call Excellence: Participate in on-call rotations and ensure your components are operationally sound (runbooks, alerts, dashboards)
Technical Roadmap: Define and drive the technical roadmap for your owned components—balancing feature development, tech debt, and operational improvements
Technical Mentorship: Guide junior and mid-level engineers on system
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