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Senior Staff SRE in Bangalore at a reputable brand yields moderate applicant competition.
Role requires deep SRE and cloud platform experience, so industry portability is limited.
Explicit 9+ years, master's degree, and mandatory GCP/IaC/SRE expertise make filtering highly strict.
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Own the reliability, scalability, and operability of enterprise data and AI platforms on Google Cloud Platform and Azure, applying SRE principles including SLO/SLI/error budget enforcement and incident management.
Lead automation and toil reduction efforts including building self-serve infrastructure capabilities and Infrastructure-as-Code deployments (Terraform, Helm, GitOps).
Drive multi-cloud platform architecture, security, and operational consistency across GCP and Azure, including AI/agentic system reliability and data security governance.
Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
At least 9 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering in large-scale production environments.
Deep hands-on expertise in GCP services (GKE, Cloud Run, BigQuery, Pub/Sub, GCS, Composer, Dataflow, Vertex AI) and Infrastructure-as-Code (Terraform, Helm), plus observability tooling experience.
Experience with multi-cloud environments (GCP + Azure), SLO/SLI/error budget operations, data security practices, and fluency in at least one scripting language (Python, Go, Bash).
Senior-level technical leader with direct experience leading platform reliability and automation at enterprise scale in multi-cloud environments (GCP+Azure).
Strong operational focus on reliability engineering across data and AI workloads, including agentic AI systems and large-scale data pipelines.
Effective cross-functional influencer capable of driving organizational reliability culture and mentoring engineers at various levels.