DevOps Engineer (Founding Team) (Hyderabad)

DevOps Engineer (Founding Team) (Hyderabad)

17 Sep
|
Gradientflo Labs
|
Hyderabad

17 Sep

Gradientflo Labs

Hyderabad

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 setting 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

1. 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):

1. 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%)

📌 DevOps Engineer (Founding Team) (Hyderabad)
🏢 Gradientflo Labs
📍 Hyderabad

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