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%)