Senior Manager, Developer Platforms

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.

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.

We're hiring a Senior Manager, Developer Platforms to build the function that owns how Nscale's engineers ship software: the developer toolchain, CI/CD, code quality standards, AI coding tools and the metrics that track them.

Reporting to the SVP of Corporate Engineering, you'll be the dedicated owner across all engineering teams, partnering with engineering, security and compliance. This is a hands‑on build role: you'll establish the tooling and governance model from scratch, then build the business case to hire and lead a Developer Platforms team as the scope grows.

Your work will give engineers the tools and standards to move quickly, alongside the access controls and operating guardrails to use agentic tools while managing security and audit risks.

• Own the developer toolchain, including source control, CI/CD, build and test infrastructure, development environments, and integrations with issue tracking and observability tools.
• Set code review, testing and CI standards across engineering, and build the test infrastructure to support them.
• Manage developer tooling vendors and spend.

• Lead adoption of AI coding agents and AI review and testing tools, adapting the tooling and policies based on how engineers actually work.
• Design and implement the access and governance model for agentic coding tools: which repositories and environments agents can access, which actions require human approval, how actions are logged and attributed, and how these controls map to compliance frameworks.
• Define and enforce guardrails for autonomous agents in production‑adjacent systems, including least‑privilege access, audit trails, rollback paths and incident response when an agent takes an unintended action.

• Track software delivery, developer experience and AI usage through metrics such as DORA and developer surveys, and use what you learn to set priorities.
• Build the business case for a Developer Platforms team as the scope grows.
• Hire and lead the Developer Platforms team.

• Developer experience (developer survey results)
• AI coding‑tool usage

• You have 8+ years of experience in platform, Dev Ops, infrastructure or developer‑productivity engineering, including experience leading people.
• You've owned CI/CD and source control for a sizable engineering organisation and remain hands‑on.
• You've rolled out and governed AI coding tools for a team or company, such as Claude Code, OpenAI Codex, Cursor, Git Hub Copilot or similar tools.
• You have working knowledge of access control, audit logging and compliance frameworks, and can translate security and compliance requirements into practical engineering guardrails.
• You've raised code quality and testing standards across multiple teams.
• You've built something from scratch without an existing team or playbook, working through an…