🔔 FCM Loaded

Staff Engineer

Glance

2 - 5 years

Bengaluru

Posted: 10/01/2026

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Job Description

We're building one of the most ambitious platforms in consumer AI a multi-surface commerce ecosystem spanning lock-screen, mobile, and TV, powered by large-scale GenAI, multimodal inference, and real-time distributed systems.


If you love designing systems that millions interact with daily often without realizing the engineering magic underneath this is your playground.


WHAT YOU WILL DO


Architect & Build for Massive Scale

- Own end-to-end design of core platform components at 100K+ QPS, serving tens of millions of users

- Drive innovations across distributed compute, storage, consistency, and failure handling

- Build infrastructure powering:

GPU-efficient multimodal inference (image, video, voice)

On-device AI + edge personalization

Real-time cross-device continuity (Android TV Web)

Multi-category shopping catalog integrated with GenAI

Commerce + ads intelligence optimizing in milliseconds


Lead with Technical Depth

- Guide teams on architecture, code quality, and operational excellence

- Conduct design and code reviews with a high bar for clarity and maintainability

- Mentor engineers and elevate engineering culture


Operate Like an Owner

- Drive features from concept design production on-call iteration

- Collaborate across product, design, ads, AI/ML, and commerce no silos

- Balance speed and quality in a high-velocity environment


Think Beyond the Code

- Translate complex engineering into simple narratives for stakeholders

- Anticipate system-wide consequences of design choices

- Shape technical roadmap with business context


WHAT WE EXPECT


Core Technical Expertise (710+ years)

- Distributed systems: partitioning, replication, consistency, failure modes

- Cloud platforms (GCP/AWS), Kubernetes, containerization, CI/CD

- Databases: SQL + NoSQL trade-offs, indexing, query optimization

- Strong in Java/Kotlin, Go, or Python

- High-performance, multi threaded, low-latency systems


Data & Infrastructure

- Large-scale pipelines: Kafka, Spark, Flink

- Cost-efficient cloud design & operations

- Observability mindset: metrics, tracing, alerting

- Comfortable with OSS, reading source, contributing when needed


Ways of Working

- Writes clear RFCs/design docs that ship

- Leads through ambiguity in high-stakes environments

- Adapts to shifting priorities without losing quality

- Uses GenAI tools to accelerate problem-solving


WHY JOIN US


- Real scale: AI workflows across GPU clouds + Android + TV

- Cutting-edge: GenAI, multimodal inference, on-device ML

- Full stack commerce: inspiration visualization purchase

- Impact: products reaching millions daily

- Ownership: architect and ship, not just maintain

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