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Customer Engagement Platform Linkedin · Posted 3d ago

Principal Architect

India

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Indexed description

Title : Senior Principal Architect :

Location : Bangalore


The Opportunity

Architecting the Future of Engagement as a Senior Principal Architect.

you will not just design systems; you will define the technical trajectory of the

company for the next decade. We are looking for a visionary technologist to lead

our "Journey Beyond 2025"—a strategic pivot towards an AI-first, hyper-scale

customer engagement platform.


You will hold the blueprint for our reliability, cost-efficiency, and next-generation

capabilities. You will be responsible for integrating massive-scale AI initiatives

into our core distributed systems, ensuring we remain not just a market leader,

but a technology pioneer.


Key Responsibilities:

1. Vision & Strategy (Beyond 2025)

Architect the AI Transformation: Spearhead the architectural design

AI-native capabilities. This includes building scalable

inference pipelines, training infrastructure, vector database management,

and LLM orchestration layers.


Future-Proofing Infrastructure: Define the "North Star" architecture

that supports 100x growth in data volume and complexity. Identify

strategic inefficiencies and drive the adoption of paradigm-shifting

technologies (e.g. Zero Copy, Real-time Stream Processing).


Strategic FinOps & Unit Economics: Take ultimate accountability for

the cost-efficiency of our cloud footprint. Design systems where cost

scales sub-linearly with growth, specifically managing the high-cost

implications of GPU compute and AI workloads.


2. Technical Leadership & Execution

Deep-Dive Problem Solving: Demonstrate the ability to go vertically

deep into the network/database level to solve "hard" problems regarding

latency, throughput, and consistency in distributed systems.


Cross-Functional Orchestration: Translate vague business goals into

concrete technical roadmaps. Subdivide multi-year strategic initiatives

into actionable monthly/quarterly execution plans across multiple

engineering verticals.


3. Mentorship & Culture

Cultivate Engineering Excellence: Raise the bar on sustainable

engineering by institutionalizing best practices in observability, chaos

engineering, and automated resiliency.


Executive Advisory: Act as a trusted technical advisor to the business,

helping them crack complex integrations, understand customer

challenges and help architect solutions


Mentor the Mentors: Coach Tech Leads, Staff and Architects, helping

them navigate complex technical trade-offs and developing the next

generation of architectural leaders.


What You'll Need:

Experience & Education

15+ years of software engineering experience, with at least 2+ years in

a Principal/Chief Architect role or equivalent.

• BS, MS, or PhD in Computer Science or related field.


Technical Mastery

Hyper-Scale Distributed Systems: Proven track record of designing

systems that handle millions of transactions per second (TPS) and

petabyte-scale data ingestion.

Cloud Native Expert: Deep mastery of AWS/GCP/Azure ecosystems,

including container orchestration (K8s), service mesh, and multi-region

active-active architectures.

Database Architectures: Expert-level knowledge of various data stores

(NoSQL, NewSQL, Columnar, Time-series) and the ability to choose the

right tool for high-throughput/low-latency scenarios.

Leadership & Soft Skills

Visionary Communication: Ability to write Vision docs

Product Thinking: You don't just build tech; you understand the "Why."

You can articulate how architectural decisions impact the customer

experience, reliability and the P&L.

Resilience & Maturity: A history of navigating high-pressure situations,

resolving technical disagreements with grace, and fostering a

collaborative, psychological-safe environment.


Bonus Points

Industry Recognition: You are a recognized figure in the tech

community (published author, frequent conference speaker, or open-

source contributor).

AI/ML Infrastructure: Hands-on experience architecting platforms for

Generative AI/LLMs. Familiarity with MLOps pipelines, Model Serving

and Vector search technologies

Legacy Modernisation: Proven success in strangulating monolithic

architectures into microservices/serverless patterns without downtime.

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