Principal Site Reliability Engineer

Responsibilities

Reliability Strategy & Architecture

• Define and drive the reliability strategy for critical product and platform services.
• Establish standards for availability, resilience, observability, incident management, and operational readiness.
• Lead architecture reviews for critical services and platform initiatives.
• Align reliability objectives with business priorities and customer expectations.
• Create frameworks, standards, and operational guardrails for safe operation at scale.
• Guide service architecture toward simplicity, scalability, resilience, and operational excellence.
• Drive initiatives that improve platform maturity and long-term sustainability.

Product & Platform Leadership

• Own reliability architecture and operational excellence for the Spera / Identity Security Posture Management (ISPM) product area.
• Establish reliability objectives and technical roadmaps with engineering leadership.
• Lead scalability, resiliency, and performance initiatives.
• Build self-service operational capabilities that improve developer productivity while strengthening reliability and security.
• Influence technical direction through data-driven recommendations, engineering expertise, and collaborative leadership.
• Support highly available, large-scale cloud environments as part of an on-call rotation.

Engineering & Automation

• Design, build, and operate large-scale cloud infrastructure and production services.
• Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies.
• Eliminate operational toil through automation, tooling, and platform engineering.
• Improve deployment safety and operational workflows through GitOps and infrastructure-as-code practices.
• Modernize existing workloads and align them with evolving platform capabilities.
• Lead engineering initiatives from conception through production rollout and long-term operational ownership.

Technical Leadership

• Mentor Staff and Senior engineers across multiple teams and organizations.
• Lead technical reviews, design reviews, and operational readiness assessments.
• Build engineering consensus across teams with differing priorities and objectives.
• Develop the next generation of technical leaders.
• Drive adoption of reliability engineering best practices across the Emerging Products Group.
• Share patterns, tooling, and operational practices across Workflows, Inbox, PAM, and ISPM teams.
• Influence technical direction through expertise, collaboration, and execution rather than organizational authority.

AI & Agentic Operations

• Explore and adopt AI-assisted reliability engineering practices.
• Design and champion agentic systems for troubleshooting, incident response, root-cause analysis, and operational decision-making.
• Evaluate emerging AI technologies and identify opportunities to improve reliability engineering workflows.
• Establish safe, effective, and measurable practices for AI in production operations.
• Reduce operational toil and improve engineering productivity through intelligent automation.

Technical Requirements

• Extensive experience designing and operating large-scale production systems in AWS and/or GCP.
• Deep expertise with Kubernetes in production environments.
• Experience designing reliability strategies for Kubernetes-based platforms.
• Expertise troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle challenges.
• Extensive experience with infrastructure-as-code technologies such as Terraform and Helm.
• Strong software engineering skills in Go and/or Python.
• Experience building internal platforms, developer tooling, and operational automation.
• Deep understanding of distributed systems architecture and cloud-native application design.
• Understanding of cloud networking fundamentals, including DNS, service discovery, ingress, load balancing, TLS, traffic management, and multi-region architectures.
• Experience operating and troubleshooting distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, or Cassandra.
• Experience establishing observability standards, monitoring strategies, and operational best practices.
• Experience with or strong interest in AI-assisted engineering and operational automation.
• Strong expertise operating customer-facing production systems at scale.
• Deep understanding of reliability engineering principles, including SLIs, SLOs, error budgets, capacity planning, and resilience engineering.
• Experience leading major incident response efforts and driving long-term operational improvements.
• Strong understanding of CI/CD, GitOps, deployment strategies, and automation-first operations.
• Proven success driving reliability transformations and architectural modernization efforts.
• Ability to balance reliability, scalability, security, and delivery needs.