Technical Specialist
India
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Job Description
Technical Specialist
Bengaluru, Karnataka

Job Summary

Owns the CI/CD, infrastructure automation, and release engineering for the Intel AI Agent Factory. Establishes and operates the automated build-test-deploy pipeline for AI agents on Google Cloud, ensuring secure, repeatable, and observable deployments across development, staging, and production environments in line with the factory delivery model.

Key Responsibilities

  • Design, build, and maintain CI/CD pipelines for agent code, prompts, configs, and RAG assets using Google Cloud Build, Cloud Deploy, and GitHub/Cloud Source Repositories.
  • Automate infrastructure provisioning using Terraform / Infrastructure-as-Code across GKE, Cloud Run, and Agent Engine runtimes.
  • Implement containerization, artifact registry management, versioning, and rollback strategies for agent deployments.
  • Configure and manage IAM, VPC-SC, secrets management, and security controls within the deployment pipeline.
  • Set up observability, logging, tracing, and monitoring (Cloud Monitoring, Cloud Logging, Cloud Trace) for pipeline and runtime health.
  • Enforce quality and security gates in the pipeline (unit/eval tests, vulnerability scans) before promotion to production.
  • Support environment readiness, access provisioning, and deployment cadence aligned to the 2-week sprint model and August MVP timeline.
  • Collaborate with FDE, AI Agent Developers, and AgenticOps SME to ensure smooth handoffs from build to deploy to operate.

Skill Requirements

  • Strong hands-on DevOps/CI-CD engineering on Google Cloud (Cloud Build, Cloud Deploy, Artifact Registry).
  • Infrastructure-as-Code with Terraform; containerization with Docker + Kubernetes (GKE) and Cloud Run.
  • Scripting proficiency in Python and/or Bash/Go.
  • Experience with Git-based workflows, branch strategies, and release automation.
  • Working knowledge of cloud security: IAM, VPC-SC, secrets management.

Other Requirements

  • Exposure to AI/ML or agent deployment pipelines (Vertex AI, Agent Engine, ADK).
  • Observability tooling (Cloud Monitoring/Logging/Trace, Prometheus, Grafana).
  • FinOps / cost-management practices on GCP.
  • Multi-cloud (AWS/Azure) DevOps familiarity.
  • 4–9 years in DevOps / SRE / Cloud/Platform engineering (Tier 3–4).
  • Google Cloud DevOps/Professional certification preferred.
  • Offshore (India) with overlap hours for US coordination, or Onsite (USA) as required.
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.