SVP, Site Reliability Engineering (AI Innovation)

DeepRec.ai is partnered with a global enterprise software company that is rethinking how reliability engineering operates in the age of AI. Rather than scaling teams through headcount, they're building an AI-native operating model where autonomous agents perform much of the operational workload, allowing engineers to focus on governance, architecture, resilience, and customer outcomes.

This is a rare opportunity to lead the evolution of AI-driven operations at enterprise scale.

As the senior leader responsible for reliability, platform operations, and incident management, you will own uptime, operational excellence, and customer trust across a large-scale SaaS platform serving enterprise customers globally.

You'll lead a highly experienced distributed team of SREs, Platform Engineers, and DevOps specialists while remaining deeply hands-on yourself. This is not a role for someone who wants to manage through dashboards and status meetings. The successful candidate will be actively involved in major incidents, reliability strategy, automation initiatives, and AI agent development.

A significant part of the role involves designing and governing the AI systems that support operational workflows including:

• Incident triage and diagnosis
• Intelligent alerting and monitoring
• Change validation and deployment controls
• Root cause analysis generation
• Auto-remediation and self-healing workflows
• Continuous operational learning and improvement

Key Responsibilities

• Own reliability, availability, and operational performance across a large-scale multi-tenant SaaS platform.
• Lead executive-level customer escalations and critical incidents when required.
• Define and evolve an AI-first operational model focused on automation, resilience, and efficiency.
• Establish governance, quality standards, and guardrails for AI-driven operational workflows.
• Drive measurable improvements in uptime, MTTR, operational efficiency, and customer satisfaction.
• Recruit, develop, and retain a high-calibre team of senior engineers.
• Partner closely with Engineering, Product, and Customer Success leadership to ensure operational excellence remains a competitive advantage.
• Remain hands-on with incident response, root cause analysis, architecture reviews, and automation initiatives.

What We're Looking For

• 10+ years operating and scaling complex SaaS environments.
• Experience leading Site Reliability Engineering, Platform Engineering, Infrastructure, or Production Operations functions.
• Proven success managing senior engineering teams at VP, SVP, or Head of level.
• Deep AWS expertise across large-scale production environments.
• Strong background in incident management, observability, automation, and distributed systems.
• Demonstrated experience implementing AI-driven operations, AIOps, agentic workflows, or automated remediation systems.
• Comfortable writing code, reviewing architecture, and contributing technically when needed.
• Track record of improving reliability and operational outcomes without simply increasing team size.
• Excellent communication skills with the ability to engage both executive stakeholders and enterprise customers.

Ideal Background

We're particularly interested in leaders who have experience within:

• Enterprise SaaS
• Developer Platforms
• Observability & Monitoring
• Cloud Infrastructure
• Customer Experience Platforms
• Collaboration Software
• AI Infrastructure & Automation
• High-availability B2B software environments

Why This Role?

• Shape one of the most advanced AI-native operations functions currently being built.
• Work with a highly experienced, globally distributed engineering team.
• Operate at meaningful enterprise scale with significant autonomy.
• Influence the future direction of AI-powered reliability engineering.
• Fully remote environment with global hiring scope and overlap with US business hours.

Fixed $400,000 USD base salary globally. There is no bonus or equity component.

If you're passionate about the intersection of AI, automation, platform reliability, and operational leadership - and want to help define what modern SRE looks like over the next decade - we'd love to speak with you.