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.

- Solid 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).

📌 Site Reliability Engineer Lead (Gurugram)
🏢 Cvent
📍 Gurugram