Responsibilities:

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)

Requirements

Requirements

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

DevOps Engineer SE II - GCP & AI