Back
Senior, specialized SRE role with niche cloud skills in Bangalore; moderate applicant competition.
Requires deep GCP/SRE and data platform experience, limiting cross-industry transferability.
Explicit 9+ years, deep GCP/SRE, IaC, and observability requirements enforce strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own reliability, scalability, and operability of Levi Strauss & Co.'s enterprise data and AI platforms on Google Cloud and Azure.
Define and enforce SLOs/SLIs/error budgets, drive incident management improvements, and lead blameless post-mortems for systemic reliability enhancement.
Lead multi-cloud architecture decisions, build self-serve infrastructure, automate workflows using Infrastructure-as-Code, and mentor SRE team members.
Master's degree in Computer Science, Engineering or related field (or equivalent practical experience).
9+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering with 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 tools (Terraform, Helm); experience with multi-cloud (GCP + Azure).
Work Experience Required: 9+ years; Location: Bengaluru, India; Full-time role.
Experienced technical leader skilled in applying Google's SRE principles to complex data and AI platforms at scale.
Strong multi-cloud expertise with operational knowledge of GCP and Azure environments, including security, cost governance, and cloud-native tooling.
Proven ability to lead cross-team reliability improvements, mentor engineers, and communicate complex concepts to technical and executive stakeholders.