Lead DevOps/SRE

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 journeyseven 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