Role & responsibilities

- Proven track record in SRE, DevOps, and Infrastructure, with significant tenure in the Retail or Supply Chain sector.
- SRE Implementation: Direct experience building SRE organizations "from scratch" within large, complex enterprise environments.
- Modern AI Stack: Expert knowledge in utilizing LLMs and AI Agents to accelerate SRE delivery, specifically for incident remediation and predictive maintenance.
- Hybrid Networking: Deep understanding of on-prem retail hardware constraints, local networking, and thin/thick client architecture.
- Middleware Mastery: Hands-on experience with Kafka, GraphQL, and microservices at scale.
- Cloud Fluency: Advanced proficiency in Google Cloud Platform (GCP) or multi-cloud environments, including Kubernetes (GKE/EKS) and IaC (Terraform).
- Strategic SRE Roadmap: Build and execute a multi-year SRE strategy from the ground up for a global retail enterprise, transitioning from legacy operations to a up-to-date SLO-based culture.
- Enterprise Reliability: Own the availability, latency,



and performance of a complex omnichannel ecosystem, including high-traffic e-commerce Web Apps, APIs, and GraphQL layers.
- Infrastructure Modernization: Orchestrate the reliability of a hybrid environment, bridging modern Cloud-native stacks with on-prem "Thin and Thick" retail store clients.
- Event-Driven Architecture: Manage and scale high-throughput Kafka clusters and Event-Driven Architectures (EDA) to ensure seamless real-time data flow across global inventory and POS systems.
- Observability Excellence: Standardize and oversee enterprise-wide monitoring and distributed tracing using DynaTrace, New Relic, and Google Cloud Monitoring.
- AI-Enhanced Operations: Architect and deploy Agentic AI workflows and LLM-based solutions using MCP (Model Context Protocol) servers to automate root cause analysis, toil reduction, and self-healing.

Preferred candidate profile

📌 SRE Devops Engineer (India)
🏢 Cognizant
📍 India