Senior Manager - Cloud Security & Reliability Engineering

Sr.Manager – CSRE

Coimbatore, India | 12+ Years | Full-time

About Searce

Searce provides modern AI outcome engineering services for enterprises — rooted in business process expertise, sharpened with deep tech competencies, and delivered at scale across 12 countries. Secured by several dozen compliances that matter in the age of AI security — including PCI DSS, ISO 27001, and more — Searce is a Google Cloud Global MSP, AWS Advanced Consulting Partner, Databricks Partner, and Anthropic Claude Partner, serving 1,300+ employees worldwide.

Role overview

The Sr. Manager – CSRE Delivery leads the Cloud Site Reliability Engineering practice for the Coimbatore delivery centre. This leader will own service reliability, drive AI-led operational excellence, and manage a high-performing SRE team delivering outcomes for global clients.

Key responsibilities

• Lead and mentor a team of SRE/CSRE engineers at the Coimbatore delivery centre, ensuring adherence to SLAs, SLOs, and error budgets.
• Drive AI-augmented SRE practices — integrate GenAI/ML tooling into incident management, toil reduction, and capacity planning.
• Own service reliability roadmap in partnership with client stakeholders and internal delivery leadership.
• Architect and review observability stacks (Cloud Monitoring, Prometheus, Datadog, or equivalent) ensuring full-stack visibility.
• Lead post-incident reviews (PIRs), enforce blameless culture, and drive root cause resolution.
• Collaborate with Platform, DevOps, and Security teams to embed reliability principles across SDLC.
• Define and track KPIs for reliability, performance, and operational efficiency.
• Support pre-sales, solutioning, and client engagement from a delivery assurance perspective.
• Act as escalation point for P1/P0 incidents — own war-room communication with clients.

Required skills & Experience

• 12+ years in SRE, DevOps, or Cloud Infrastructure roles with at least 3 years in a people leadership position.
• Hands-on experience with GCP and/or AWS — GCP Professional certifications preferred.
• Mandatory — familiarity with LLM-based automation, AIOps platforms (e.g. BigPanda, Moogsoft), or building AI-assisted runbooks.: AI/ML experience
• Strong scripting proficiency: Python, Bash, Go, or equivalent.
• Deep expertise in IaC tools — Terraform, Pulumi, or Ansible.
• Experience with container orchestration: Kubernetes (GKE/EKS preferred).
• Proficiency in CI/CD tooling: Cloud Build, Jenkins, GitHub Actions, ArgoCD.
• Solid understanding of networking, security, and cloud-native architecture patterns.
• Excellent communication and stakeholder management skills; ability to translate technical risk into business impact.

Good to have

• Experience with multi-cloud or hybrid cloud delivery environments.
• ITIL v4 certification or equivalent service management framework knowledge.
• Prior managed services experience ( MSP).

What we offer

• Competitive compensation benchmarked to market.
• Exposure to cutting-edge AI tools and Anthropic Claude-powered internal platforms.
• High-ownership role with direct impact on delivery quality and client satisfaction.
• Collaborative, inclusive, and fast-paced work environment.