Senior Manager, Site Reliability Engineering

Docusign is a leader in e-signature and contract lifecycle management, serving over 1.5 million customers globally. They are seeking a Senior Manager of Site Reliability Engineering to lead a high-performing team, ensuring the reliability of their AI-powered Intelligent Agreement Management platform and driving the development of reliability tools and practices.

Responsibilities:

• Drive the day-to-day reliability, availability, and performance of Docusign’s global platform. You will ensure your team proactively monitors and maintains a resilient infrastructure that protects the customer experience
• Lead engineering teams in developing and maintaining reliability tools, automation, and APIs used internally to accelerate developer velocity and support platform trust
• Manage, mentor, and grow a team of SREs, including Senior and Staff-level engineers. Foster a culture of continuous learning, psychological safety, and technical excellence
• Partner with product and dev teams to implement and monitor 'Error Budgets' and SLOs. You understand that seconds of latency affect signers and downtime blocks business deals, and you advocate for the user in engineering discussions
• Implement and champion the adoption of the Internal Developer Platform (IDP), making it seamless for our 2,000+ developers to build reliable services by default
• Collaborate closely with Product, Engineering, Compliance to ensure operational alignment and smooth project delivery
• Shift the team from reactive incident response to predictive mitigation by implementing Chaos Engineering practices and automated self-healing mechanisms

Requirements:

• 10+ years of experience in Infrastructure, SRE, or Software Engineering, with a minimum of 4 years of experience directly managing engineering teams in a high-scale SaaS environment
• Experience guiding teams that build tools and automation, viewing infrastructure as code and internal developers as your primary users
• Experience managing complex technical projects, handling incident management efficiently, and driving systems to higher standards of uptime
• Experience making technical priority decisions based on user impact and translating technical metrics into customer trust
• Experience solving modern operational problems with software automation
• Experience with modern programming languages (such as Go or Python) to review code, guide architecture, and lead automation efforts
• Experience managing enterprise-grade container orchestration using Kubernetes (specifically Azure Kubernetes Service/AKS)
• Experience contributing to or implementing Internal Developer Platforms (IDPs) that boost developer velocity and autonomy
• Familiarity with infrastructure supporting AI/LLM workloads or predictive data pipelines
• Hands-on experience with public cloud ecosystems (specifically Azure) and multi-region architectures