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Open nowPosted 298 days ago

Principal Architect

Scrabble

Where
Bengaluru
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Your applicationOpen nowPrincipal ArchitectScrabble · Bengaluru

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 298 days ago

The posting

Principal Architect

Job Summary

As a Principal Architect, you will design systems and define the technical trajectory of the company for the next decade. This role involves leading the strategic pivot towards an AI-first, hyper-scale customer engagement platform, ensuring the integration of massive-scale AI initiatives into core distributed systems, and maintaining market leadership as a technology pioneer.

Responsibilities

Vision & Strategy

- Lead AI transformation architecture, including scalable inference, training infra, vector databases, and LLM orchestration.

- Define target-state architecture for 100x data growth, adopting cutting-edge tech like zero-copy and real-time streaming.

- Drive cloud cost optimization and sub-linear scaling, especially for GPU/AI workloads.

Technical Leadership & Execution

- Deep-dive into distributed systems challenges on latency, throughput, and consistency.

- Convert business goals into multi-year roadmaps and quarterly execution plans across teams.

Mentorship & Culture

- Institutionalize observability, chaos engineering, and resiliency best practices.

- Advise executives on integrations, customer needs, and solution architecture.

- Coach senior engineers (Tech Leads, Staff, Architects) through complex trade-offs.\ \ Qualifications

- Experience & Education

  • 15+ years of software engineering experience, with a minimum of 2+ years in a Principal/Chief Architect role or equivalent.
  • BS, MS, or PhD in Computer Science or a related field.

- Technical Mastery

  • Proven experience with hyper-scale distributed systems capable of handling millions of transactions per second and petabyte-scale data ingestion.
  • Deep expertise in cloud-native environments (AWS, GCP, Azure), including container orchestration (Kubernetes), service mesh, and multi-region active-active architectures.
  • Expertise in various database architectures (NoSQL, NewSQL, Columnar, Time-series) with the ability to select optimal tools for high-throughput and low-latency requirements.

- Leadership & Soft Skills

- Strong communication skills with the ability to draft visionary documents and convey complex technical concepts clearly.

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