Site Reliability Engineer Lead

Role & responsibilities

• Set the direction and long-term strategy for solving complex problems; communicate timeline,

scope, risks, and the technical roadmap to leadership and stakeholders.

• Keep abreast of emerging cloud technologies, running POCs to assess suitability and value.
• Lead design and implementation of large-scale AWS architectures optimized for reliability,

scalability, and cost.

• Develop and refine CI/CD pipelines and automated deployments for complex environments.
• Drive error budgets; define and track SLIs/SLOs; own organization-wide reliability targets.
• Lead deep-dive RCAs for major incidents using Datadog, Prometheus, Grafana, and ELK; run

blameless postmortems.

• Establish best practices for containerization (Docker, Kubernetes) and infrastructure as code

(Terraform, AWS CDK).

• Mentor, coach, and provide technical escalation for SRE/DevOps engineers; foster a learning and

ownership culture.

• Direct AI/automation initiatives to improve deployment, monitoring, troubleshooting, and

developer efficiency (e.g., ChatGPT, Copilot, generative AI for runbooks and incident

management)

• Partner with engineering, product, and business to shape reliability strategy, incident process,

architecture reviews, and roadmap.

• Ensure security, regulatory, and operational compliance across cloud architecture and

automation.

• continuously communicating timeline, scope, risks, and technical road map

Preferred candidate profile

• 8-11 years in Site Reliability, DevOps, or Cloud Engineering, including substantial leadership

experience.

• Strong understanding of SRE principles and DevOps culture; adept at applying software

engineering tools, methods, and practices.

• Deep AWS expertise across advanced networking, identity (IAM), and multi-region architectures;

experience with large-scale, multi-tier distributed systems.

• Advanced development and scripting skills (Python, Go, Bash) focused on automation and

troubleshooting distributed systems.

• Mastery of CI/CD platforms (Jenkins, GitHub Actions, Argo CD), containerization (Docker,

Kubernetes), and infrastructure as code (Terraform, CloudFormation, AWS CDK).

• Proven track record driving SLIs/SLOs, error budgets, and reliability targets at scale, plus leading

complex incident processes and blameless postmortems.

• Strong Unix/Linux background with deep knowledge of system internals.
• Experience with database technologies (SQL Server, PostgreSQL, Couchbase preferred).
• Effective people leader and mentor with excellent communication and stakeholder management

skills; bias for execution.

• Direct AI/automation initiatives to improve deployment, monitoring, troubleshooting, and

developer efficiency (e.g., ChatGPT, Copilot, generative AI for runbooks and incident

management).