The DevOps Engineer will manage GCP infrastructure, build AI deployment pipelines, implement security measures, and optimize costs while ensuring system observability.
Responsibilities:
RequirementsRequirements
- Infrastructure Ownership: Own Helpshift production services and ensure complete monitoring coverage, troubleshoot and fix production issues.
- Infrastructure as Code (IaC): Design and maintain scalable GCP infrastructure using Terraform o
- AI Orchestration & LLMOps: Build deployment pipelines for AI agents, managing vector databases (e.g., Vertex AI Search, Pinecone, Weaviate, ElasticSearch) and model endpoints.
- Security (DevSecOps): Implement "Security-by-Design," including IAM least-privilege access, secret management (Secret Manager), and automated vulnerability scanning for AI workloads.
- CI/CD Excellence: Architect high-velocity pipelines for both traditional microservices and AI model prompts/configurations. Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes.
- Observability: Set up comprehensive monitoring for system health and LLM-specific metrics (latency, token usage, and cost)
- Cloud Governance: Optimise GCP costs and manage resource quotas, especially for GPU/TPU-intensive AI tasks.
- Cross Cloud Deployment: Establish & Optimise the connectivity among apps deployed in different cloud environments (AWS <> GCP)
RequirementsRequirements
- Relevant experience of 6+ years and above
- Expert-level Google Cloud Platform (GCP) administration skills: GKE, Cloud Run, Vertex AI, GCS, NEG etc
- Experience deploying Vector Databases (Pinecone, Weaviate, ElasticSearch or Vertex Search) and managing API rate limits/throttling for LLM providers.
- Setting up Cloud Monitoring/Logging specifically for AI metrics: token consumption, inference latency, and model error rates.
- In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu)
- Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
- Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
- Proficiency in Python and Bash
- Experience in designing and building solutions that are highly scalable, fault tolerant and cost-effective
- Experience with IaaC tools like Ansible, Terraform.
- Ability to analyse bottlenecks in architecture and quickly debug to reach a resolution for issues
- Have an automation mindset and ability to reason and work with complex systems.
- Excellent communication and documentation skills
- Quick learner and good mentor for junior team members
Top Skills
Ai Orchestration
Ansible
Bash
Ci/Cd
Docker
Elasticsearch
Google Cloud Platform
Kubernetes
Pinecone
Python
Terraform
Vector Databases
Vertex Ai
Weaviate
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