Staff Site Reliability Engineer
Levi Strauss & Co. (company site, opens in a new tab)9+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 15 Sept
Reach people at Levi Strauss & Co.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Levi Strauss & Co. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own reliability, scalability, and operability of enterprise data and AI platforms on GCP and Azure, applying SRE principles including SLOs, SLIs, error budgets, and incident management.
- Lead automation and toil reduction by building self-serve infrastructure, automating deployment pipelines using Infrastructure-as-Code (Terraform, Helm, GitOps).
- Architect and optimize multi-cloud platforms (GCP and Azure), ensuring security, cost efficiency, and high availability for data and AI workloads including agentic AI systems.
Minimum Requirements
- Master's degree in Computer Science, Engineering, or related field or equivalent experience.
- 9+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering in large-scale production environments.
- Deep hands-on expertise with Google Cloud Platform services (GKE, Cloud Run, BigQuery, Pub/Sub, GCS, Composer, Dataflow, Vertex AI) and Infrastructure-as-Code tools (Terraform, Helm).
- Experience with observability tooling, multi-cloud (GCP and Azure) environments, and strong understanding of data security practices (IAM, encryption, secrets management).
Ideal Candidate Profile
- Experienced in leading reliability engineering at organizational scale with a focus on eliminating toil and establishing SRE disciplines across teams.
- Skilled in multi-cloud architecture and operations, integrating GCP and Azure, with an emphasis on security, cost governance, and operational consistency.
- Practitioner of SRE best practices with experience in large-scale data and AI platform environments, including agentic AI and modern observability tooling.