Staff Site Reliability Engineer

Job Location:Bengaluru India

Calling all originals: At Levi Strauss & Co. you can be yourself and be part of something bigger.Werea company of people who like to forge our own path and leave the world better than we found it. Whobelievethat what makes us different makes usstronger.Soadd your voice. Make an impact. Find your fit and your future.

Were seeking an exceptional Staff Site Reliability Engineer to join our Data & AI Platform Engineering this role youll own and elevate the reliability scalability and operability of our enterprise data and AI platforms the platforms that power everything from the design of our iconic jeans to the optimization of our global retail and supply chain.

As a hands-on technical leader youll embody the principles of Googles SRE discipline: eliminating toil engineering for reliability and building a culture of shared ownership between development and operations. This is a unique opportunity to shape how a legendary brand runs production at scale on Google Cloud Platform with a growing multi-cloud footprint across GCP and Azure.

About the Job

Reliability & Incident Management

• Define instrument and enforce SLOs SLIs and error budgets across all platform services ensuring alignment with business and product commitments

• Drive continuous reduction in MTTD and MTTR through improved observability automated alerting and runbook-driven incident response

• Lead blameless post-mortems and translate findings into durable reliability improvements ensuring systemic issues are eliminated rather than patched

Toil Reduction & Automation

• Systematically identify measure and eliminate operational toil; track toil percentage per sprint and enforce guardrails to keep it below 50% of engineering capacity

• Build and maintain self-serve infrastructure capabilities enabling product and data engineering teams to provision scale and operate their own resources safely and consistently

• Automate deployment pipelines configuration management and operational workflows using Infrastructure-as-Code principles (Terraform Helm GitOps)

Platform Engineering & Architecture

• Serve as the primary GCP subject matter expert architecting and optimizing workloads across GKE Cloud Run BigQuery Pub/Sub GCS Composer Dataflow and Vertex AI

• Lead multi-cloud architecture decisions across GCP and Azure ensuring consistent security posture cost efficiency and operational practices across environments

• Design and implement self-healing infrastructure patterns auto-scaling strategies and capacity planning models to support high-availability data and AI platforms

• Champion data security and governance best practices including encryption at rest and in transit IAM least-privilege secrets management and audit logging

AI Agentic Systems & Modern Observability

• Apply SRE principles to agentic AI workloads defining reliability expectations for LLM-based and multi-agent systems including latency SLOs fallback patterns and model observability

• Partner with AI Platform teams to productionize agentic pipelines with robust monitoring drift detection and rollback capabilities

• Drive adoption of AI-assisted operations tooling to enhance observability anomaly detection and predictive incident management

Leadership & Culture

• Guide and mentor junior and mid-level SREs conducting code reviews running reliability reviews and elevating the teams engineering craft

• Collaborate cross-functionally with Data Engineering Software Engineering Security and Product teams to embed reliability as a shared value from design through deployment

• Champion a culture of psychological safety continuous learning and reliability excellence

• Communicate platform health risk posture and reliability roadmaps clearly to both technical and executive audiences

About You

Required Qualifications

• Masters 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 a strong track record in large-scale production environments

• Deep hands-on expertise in GCP including GKE Cloud Run BigQuery Pub/Sub GCS Composer Dataflow and Vertex AI

• Proficiency with Infrastructure-as-Code tools (Terraform Helm) and GitOps workflows (ArgoCD Flux)

• Strong command of observability tooling distributed tracing structured logging metrics pipelines and alerting platforms (e.g. Cloud Monitoring Datadog Prometheus/Grafana)

• Proven experience defining and operating against SLOs SLIs and error budgets in production environments

• Solid understanding of data security principles: IAM encryption secrets management network policies and compliance frameworks

• Experience with multi-cloud environments (GCP Azure) including cross-cloud networking identity federation and cost governance

• Demonstrated ability to lead without authority influencing engineers across teams and driving reliability improvements at the organizational level

• Excellent written and verbal communication skills; ability to translate complex reliability concepts for non-technical stakeholders

Technical Depth

• Fluency in at least one systems or scripting language (Python Go or Bash) for automation and tooling

• Experience with container orchestration (Kubernetes/GKE) service mesh and traffic management patterns

• Familiarity with data engineering patterns: batch and streaming pipelines data warehouses and the operational challenges of large-scale data platforms

• Understanding of agentic AI architectures and the unique reliability challenges of LLM-based event-driven and multi-agent systems

• Working knowledge of data governance frameworks data lineage tooling and platform-level data quality enforcement

Desirable Experience

• Experience operating data platforms in retail or e-commerce environments

• Familiarity with SRE principles in practice error budget policies CRE engagements production readiness reviews

• Exposure to FinOps practices cloud cost attribution commitment optimization and unit economics for data workloads

• Experience with Azure-native services (AKS Azure Data Factory Event Hubs) and cross-cloud identity management

• Prior experience in a Staff or Principal-level SRE role with organization-wide scope

Benefits

We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care taking time off improving your health or planning for retirement weve got you covered.

Heres a small snapshot:

Complimentary preventive health check-up for you & your spouse

OPD coverage

Best in class leave plan including paternity & family care leaves

Counselling sessions to prioritize mental well-being

Exclusive discount vouchers on Levis products

We are an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us regardless of race religion gender gender identity pregnancy disability sexual orientation age national origin citizenship status or genetic information. We actively seek and encourage applications from diverse candidates including those with disabilities and offer accommodations throughout the selection process upon request. To ensure that our products and culture continue to incorporate everyones perspectives and experience we never discriminate based on race religion national origin gender identity or expression sexual orientation age or marital veteran or disability status.