Lead Site Reliability Engineer

As a Lead Site Reliability Engineer at CCTech, you will be taking end-to-end ownership of reliability for mission-critical cloud systems while leading and mentoring a team. Your role will focus on driving scalability, production stability, and excellence in infrastructure, automation, and observability. You will work on core platform systems like Identity, APIs, and cloud services, collaborating closely with product, platform, and infrastructure teams. Key Responsibilities: - Own reliability, uptime, and production health of critical systems - Design systems for scale, failure handling, and unpredictable load - Lead architecture decisions balancing scalability, cost, and reliability - Drive SRE best practices (SLOs, observability, incident prevention) - Lead and mentor engineers; set technical direction and standards - Act as the go-to person for complex system design and debugging - Build and evolve infrastructure using Infrastructure-as-Code - Drive automation for testing, validation, and recovery systems Collaborate with product and platform teams to ensure systems are: - Production-ready - Reliable and observable - Easy to integrate and adopt - Lead critical incident resolution, root cause analysis, and long-term fixes - Proactively reduce system fragility and improve platform resilience Qualifications Required: - 812 years of experience in SRE / DevOps / Cloud Engineering - Strong hands-on experience with: - AWS production systems (large-scale preferred) - Infrastructure-as-Code (Terraform or equivalent) - CI/CD pipelines and deployment automation - Proven experience in: - Designing and operating highly reliable distributed systems - Handling and debugging production incidents at scale - Improving system reliability, performance, and cost - Strong programming ability: - Python (preferred) or Go/Node.js - Ability to write production-grade, maintainable code - Experience leading engineers and driving technical direction - Robust understanding of: - Distributed systems - Observability and monitoring - Scalability, performance, and cost optimization Good to Have: - Experience with identity and access management systems (OAuth2, OIDC, etc.) - Exposure to API platforms / API gateways - Experience defining and enforcing SLOs and error budgets - Exposure to multi-cloud environments - Experience with chaos engineering - Background in backend engineering before moving to SRE If there are any additional details about the company in the JD, kindly provide them separately. As a Lead Site Reliability Engineer at CCTech, you will be taking end-to-end ownership of reliability for mission-critical cloud systems while leading and mentoring a team. Your role will focus on driving scalability, production stability, and excellence in infrastructure, automation, and observability. You will work on core platform systems like Identity, APIs, and cloud services, collaborating closely with product, platform, and infrastructure teams. Key Responsibilities: - Own reliability, uptime, and production health of critical systems - Design systems for scale, failure handling, and unpredictable load - Lead architecture decisions balancing scalability, cost, and reliability - Drive SRE best practices (SLOs, observability, incident prevention) - Lead and mentor engineers; set technical direction and standards - Act as the go-to person for complex system design and debugging - Build and evolve infrastructure using Infrastructure-as-Code - Drive automation for testing, validation, and recovery systems Collaborate with product and platform teams to ensure systems are: - Production-ready - Reliable and observable - Easy to integrate and adopt - Lead critical incident resolution, root cause analysis, and long-term fixes - Proactively reduce system fragility and improve platform resilience Qualifications Required: - 812 years of experience in SRE / DevOps / Cloud Engineering - Strong hands-on experience with: - AWS production systems (large-scale preferred) - Infrastructure-as-Code (Terraform or equivalent) - CI/CD pipelines and deployment automation - Proven experience in: - Designing and operating highly reliable distributed systems - Handling and debugging production incidents at scale - Improving system reliability, performance, and cost - Strong programming ability: - Python (preferred) or Go/Node.js - Ability to write production-grade, maintainable code - Experience leading engineers and driving technical direction - Robust understanding of: - Distributed systems - Observability and monitoring - Scalability, performance, and cost optimization Good to Have: - Experience with identity and access management systems (OAuth2, OIDC, etc.) - Exposure to API platforms / API gateways - Experience defining and enforcing SLOs and error budgets - Exposure to multi-cloud environments - Experience with chaos engineering - Background in backend engineering before moving to SR