DevOps Engineer (Founding Team)

Role Overview You will be the guardian of infrastructure and velocity. Every AI artifact, every mini-app, every TutorAgent interaction depends on the reliability of the pipelines and cloud environment you build. At Vibecoderz, DevOps isn’t a support role — it’s the backbone of product velocity and reliability. As the founding DevOps engineer, you will design our CI/CD pipelines, observability stack, infra-as-code, and security posture from day zero.

You’ll ensure that when a developer ships code, it’s live in production safely, quickly, and traceably. You’ll architect the serverless-first cloud strategy on GCP , balancing performance, cost, and scale as we grow from MVP to 100K+ MAUs. You’ll use Linear (execution), Notion (runbooks/docs), and GitHub (actions & infra code) to make every workflow reproducible, transparent, and automated.

Key Responsibilities

CI/CD Pipeline Ownership Design and maintain GitHub Actions workflows for FE, BE, AI, and agent services. Automate build, test, and deploy to Cloud Run with zero-downtime releases. Infrastructure as Code (IaC) Implement Terraform scripts for GCP (Cloud Run, Firestore, Pub/Sub, VPCs). Maintain environment parity (dev, staging, prod).

Observability & Monitoring Set up OpenTelemetry tracing for multi-agent workflows. Configure dashboards (Cloud Trace, Grafana) for latency, errors, and throughput. Cost & Resource Optimization Track infra costs, optimize workloads, and enforce scaling policies. Benchmark agent workloads across Gemini Flash vs. Pro vs.

custom models. Cloud Security & Compliance Enforce IAM best practices, firewall rules, and secret management. Build guardrails for prompt injection and unsafe agent actions at the infra level. Release Management Define release pipelines with feature flags, rollbacks, and canary deploys. Ensure smooth collaboration between PM, engineers, and QA.

Disaster Recovery & Resilience Build automated backup and recovery strategies for Firestore + Neo4j + Redis. Design failover strategies for critical agent services. Agent Infrastructure Support Support Browser-Use scaling for the Vibe Browser. Manage GPU/TPU allocations for Gemini/Vertex pipelines if required. Collaboration & Enablement Write runbooks and incident playbooks in Notion.

Train engineering team to self-serve common workflows. Problem Solving Debug infra bottlenecks, trace latency across services, and enforce SLAs. Success Metrics 90 Days (Probation): CI/CD pipeline live for FE + BE services. Terraform-based infra deployed and reproducible. OpenTelemetry traces visible for at least 2 core user flows.

12 Months: 99.9% uptime across production workloads. <200ms latency for API responses across multi-agent workflows. Fully automated deployments with rollback & feature flag system. Disaster recovery tested with <5 min RTO (Recovery Time Objective). Must-Haves 10+ years in DevOps/SRE roles for high-scale products. Mastery of CI/CD, Terraform, GCP services (Cloud Run, Pub/Sub, Firestore).

Proven experience with observability stacks (OpenTelemetry, Prometheus, Grafana). Deep knowledge of cloud security, IAM, and infra cost management. Background in scaling infra for developer or AI products. Nice-to-Haves Experience with Vertex AI/ML infra and GPU/TPU scaling. Prior work on real-time, multi-agent systems .

Contributions to open-source DevOps tooling. Startup/founding engineer experience. Tech Stack Visibility Infra: Terraform, GCP (Cloud Run, Pub/Sub, Firestore, VPC) CI/CD: GitHub Actions Observability: OpenTelemetry, Cloud Trace, Grafana Security: IAM, Secrets Manager, GCP Firewall Other: Redis, Neo4j, Browser-Use scaling infra Assessment Objective: Validate ability to design and operate production-grade infra for Vibecoderz.

Challenge (Candidate PoC): CI/CD Setup Create a GitHub Actions workflow to: Run unit tests for FE (Next.js) + BE (FastAPI). Deploy BE service to Cloud Run on merge to main . IaC Write Terraform scripts to provision: Cloud Run service Firestore DB Pub/Sub topic for agent comms Observability Add OpenTelemetry traces for one workflow (Text → Course).

Export traces to Cloud Trace and provide a screenshot of latency breakdown. Security Configure IAM policy with least-privilege roles. Add secrets management (e.g., API keys) to the workflow. Deliverables: GitHub repo with workflows + Terraform configs. Cloud Run URL for deployed BE service. Tracing screenshot with latency insights.

Short README explaining infra choices + tradeoffs. Evaluation Criteria: CI/CD Workflow Robustness (25%) IaC Quality & Reproducibility (25%) Observability & Monitoring Depth (20%) Security & IAM Best Practices (15%) Documentation & Clarity (15%)