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.   We’re   a company of people who like to forge our own path and leave the world better than we found it. Who   believe   that what makes us different makes us   stronger.   So   add your voice. Make an impact. Find your fit — and your future.  

We're seeking an exceptional Staff Site Reliability Engineer to join our Data & AI Platform Engineering team. In this role, you'll 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, you'll embody the principles of Google's 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 team's 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 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 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, we've got you covered. Here's 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 Levi's 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 everyone's 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.

LOCATION Bengaluru, India FULL TIME/PART TIME Full time Current LS&Co Employees, apply via your Workday account.