## About the job About WizCommerce Wholesale distribution is a $10T+ industry — and most of it still runs on fax, spreadsheets, and legacy ERPs. We're here to change that. WizCommerce is the AI Operating System for B2B Trade. We build AI-native commerce solutions that sit on top of the ERPs distributors already use — no rip and replace, no 12-month implementations. Just real transformation, fast. Our platform combines an AI-native CRM, B2B website builder, embedded finance, and AI co-workers (order entry, quoting, content) into one unified system built for how wholesale actually works. The results speak for themselves: • 180% Net Revenue Retention • 4X YoY ARR growth • 400% growth in customers with >$50K ACV • 95% implementation success rate (vs. an industry average of 30%) We serve 150+ customers across North America — from Jaipur Living to Loloi — and we're a fast-growing team backed by Peak XV Partners, Blume Ventures, Alpha Wave Global, and others. If you want to build category-defining software in a massive, underserved industry — with a team that has genuinely lived the problem — WizCommerce is the place to be. Our product ecosystem includes: - WizOrder: AI-powered, mobile-first ordering system for B2B order journeys—even offline. - WizShop: AI-driven, 24/7 self-service B2B ecommerce platform. - WizStudio: AI-powered creative platform generating studio-quality lifestyle imagery. - KAI: Industry's first AI-powered sales assistant with RAG, customer intelligence, and workflow automation. - WizCRM & WizPay: AI-enhanced CRM and flexible B2B payment solutions. WizAgent (Roadmap): Agentic marketplace where autonomous AI agents facilitate B2B transactions. About the Role We are looking for a seasoned Lead DevOps / Site Reliability Engineer to own and evolve our cloud infrastructure on Google Cloud Platform (GCP). You will work at the intersection of software engineering and operations — building highly reliable, scalable, and observable systems that power our products. As a lead, you will mentor engineers, drive architectural decisions, and champion a culture of reliability and continuous improvement across the engineering organisation. Key Responsibilities - Design, implement, and maintain GCP-based infrastructure using IaC tools such as Terraform and Deployment Manager. - Build and optimise CI/CD pipelines (Cloud Build, GitHub Actions, ArgoCD, or equivalent). - Define and enforce SLOs, SLIs, and error budgets; lead incident response and post-mortems. - Manage Kubernetes (GKE) clusters — autoscaling, upgrades, network policies, and workload security. - Establish observability standards using tools such as Cloud Monitoring, Prometheus, Grafana, and Loki. - Drive capacity planning, cost optimisation, and cloud spend governance across GCP projects. - Champion security best practices: IAM least-privilege, secret management (Secret Manager / Vault), VPC design. - Collaborate closely with platform, backend, and data engineering teams to deliver reliable deployments. - Mentor junior and mid-level DevOps/SRE engineers; conduct code and design reviews. - Evaluate and introduce new tooling to improve developer experience and system reliability. Required Qualifications - 6+ years of experience in DevOps, SRE, or infrastructure engineering roles. - Hands-on expertise with Google Cloud Platform — Compute Engine, GKE, Cloud Run, Cloud SQL,Pub/Sub, Cloud Storage, VPC, and IAM. - Strong proficiency in Infrastructure as Code — Terraform (preferred) or Pulumi. - Deep experience with Kubernetes/GKE: Helm, Kustomize, namespaces, RBAC, network policies. - Proficiency in at least one scripting/programming language — Python, Go, or Bash. - Proven track record designing and operating large-scale CI/CD pipelines. - Strong understanding of Linux internals, networking (DNS, TCP/IP, TLS), and distributed systems. - Experience defining SLOs and running incident management (on-call, RCA, post-mortems). Preferred Qualifications - Google Cloud Professional certifications (Cloud DevOps Engineer, Cloud Architect, or equivalent). - Familiarity with GitOps workflows using ArgoCD or Flux. - Knowledge of data infrastructure on GCP — BigQuery, Dataflow, Dataproc. - Prior experience in a lead or staff-level role with mentorship responsibilities. - Exposure to FinOps practices and GCP cost management tools. Learn more:[wizcommerce.com](http://wizcommerce.com/)