Lead SRE - AWS,Python

Overview

In this role you will lead reliability initiatives to ensure availability, performance, and resilience of production systems at enterprise scale. You will partner with engineering, product, and security teams to embed reliability early in the development lifecycle and drive a culture of operational excellence. You’ll shape observability, incident response, and automation strategies to reduce toil and accelerate delivery. This is an opportunity to influence critical infrastructure for millions of users while growing your leadership and technical impact.

Responsibilities

• Design and implement scalable, reliable, and observable infrastructure
• Define and enforce SLOs, error budgets, and reliability targets
• Lead incident response, root cause analysis, and post-incident reviews
• Develop automation frameworks to reduce toil and speed delivery
• Collaborate with software engineering, architecture, and security teams to bake reliability into design
• Champion observability with monitoring, alerting, and dashboards
• Mentor junior engineers and foster continuous learning
• Influence platform and tooling decisions for reliability, scalability, and security
• Leverage AI-assisted engineering practices to improve outcomes and secure inputs/outputs

• Formal training or certification in site reliability engineering concepts
• Hands-on experience designing/operating large-scale distributed systems with focus on availability and performance
• Proficiency in programming/scripting languages (Python, Go, Java, Bash)
• Experience defining/managing SLI/SLOs and error budgets in production
• Strong background in observability tooling (metrics, logging, distributed tracing)
• Experience leading incident response and post-mortems
• Experience with container orchestration and infrastructure-as-code (e.g., Kubernetes, Terraform)
• Ability to communicate complex technical concepts to technical and non-technical stakeholders

• strong communication
• leadership and mentoring
• cross-functional collaboration
• observability tooling (metrics, logs, tracing)
• Kubernetes
• Terraform