DevOps Engineer | SDE - 1 | SDE - 2

Preferable Location(s):

Pune, India | Mumbai, India | Chennai, India | Delhi, India | Hyderabad, India

Work Type:

Full Time

Salary Range:

$65K - $70K

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Role: Technical Program Manager, Storage

Function: Technical Program Management

Location: Bengaluru, India

Industry: AI Infrastructure, Cloud Computing

About Company

This role is with a rapidly growing AI infrastructure startup founded in 2025 in Bengaluru by a leadership team with deep product, cloud, and systems experience from global-scale tech companies. The company has built a GenAI-powered private cloud platform that automates and manages complex AI workloads across hybrid, on-prem, edge, and sovereign cloud environments — designed for enterprise sectors where performance, data security, and compliance are critical. Backed by leading global VCs and prominent operators (approx. $10M seed raised), the company is recognized for strong engineering rigor and product clarity. Its platform focuses on AI-native orchestration, deep observability, and cost/performance optimization to help large enterprises deploy and scale AI with confidence. This is an opportunity to join early and shape the future of AI-first cloud infrastructure.

Position Overview

You lead programs that build the storage backbone for AI-native cloud services. You own object and file storage, CDN delivery, and capacity expansion that power demanding, real-time workloads. Your work drives reliable, scalable data foundations that let enterprise customers deploy AI with confidence.

Role & Responsibilities

Run end-to-end programs for object and file storage, CDN/serving, and capacity expansion.
Drive delivery of data-foundation services such as Kafka, Spark equivalents, vector stores, and data lakes needed by AI products.
Translate business and platform goals into clear scope, milestones, and measurable success metrics.
Maintain a single plan of record across multiple teams, tracking risks and dependencies.
Report program status, blockers, and mitigation plans to senior leadership.

Must have Criteria

4–5 years in technical program management or similar delivery roles focused on storage, data platforms, or cloud infrastructure.
Deep understanding of storage architectures, object and file stores, and data management for AI/ML workloads.
Hands-on experience with container and Kubernetes environments and infrastructure as code.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to Have

Experience with analytics and ETL systems or data-lake architectures.
Prior work on AI/ML or GPU-backed platforms.

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