Nscale

Technology

SeniorSoftwareEngineer

₹40–70L ~AI est. EMEA Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer at Nscale. Skills: Distributed systems, Infrastructure automation, Workflow orchestration, GPU cloud. Build workflow automation systems. Manage GPU node lifecycle”

What You'll Achieve.

Achieve superior results; Reduce complexity; Manage costs; Drive rapid innovation; Environmental responsibility

Industry & Context.

Technology
Problems you'll solve

Problem-solving

What They're Looking For.

Must Have

5+ years software engineering experience, Infrastructure automation experience, Workflow tooling proficiency, Python proficiency, Hands-on day 2 operations experience, Problem-solving skills, Ability to work independently

Nice to Have

Experience with workflow orchestration tools, Hands-on experience with infrastructure tooling, Bare metal provisioning and automation experience, Experience building hardware lifecycle automation, GPU infrastructure experience, HPC and networking knowledge, Deep knowledge of Kubernetes, Deep knowledge of Infrastructure as Code, Deep knowledge of AWS, Deep knowledge of GCP, Open-source contributions

What You'll Do.

Build workflow automation systems

Manage GPU node lifecycle

Manage network switch lifecycle

Design foundational platform components

Implement device provisioning

Implement burn-in testing

Implement network configuration

Implement hardware health validation

Integrate with datacenter infrastructure management systems

Integrate with cloud orchestration platforms

Integrate with bare metal provisioning tools

Build distributed workflow orchestration systems

Coordinate automation tasks across fleet

Drive technical strategy for reliability

Drive technical strategy for observability

Drive technical strategy for incident response

Drive technical strategy for operational excellence

Automate hardware lifecycle operations

Use AI tools to accelerate delivery

Maintain architectural coherence

How You'll Work.

Team & Collaboration

Infrastructure teams; Platform teams; SRE teams; Cross-functional teams

Communication Scope

Build consensus

Process & Methodology

Agile

Full Job Description

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. At Nscale, our Software engineers form the backbone of our product offering. We build state of the art AI products allowing our clients to move quickly in an increasingly competitive digital landscape. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future About the Role We're hiring a Senior Software Engineer to build our Fleet Manager platform — the workflow automation system that provisions, tests, and remediates GPU nodes and network switches at scale. You'll build foundational Python-based automation systems that manage the entire lifecycle of our compute infrastructure: device enrolment, burn-in testing, network configuration, GPU health monitoring, and self-healing capabilities. This role is for someone obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement. What you'll do Build workflow automation systems for GPU node and network switch lifecycle management at scale Design foundational platform components with established software patterns that others build on Implement device provisioning, burn-in testing, network configuration, and hardware health validation workflows Integrate with datacenter infrastructure management syst

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