Lead DevOps

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