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HCLTech

Technical Specialist

Job · Full-timeIn OfficeBengaluru1-2 years1 opening

About this role

HCLTech is hiring for Technical Specialist in Bengaluru. This opening was published by HCLTech on their official careers board (successfactors) on 3 September 2026 and was confirmed live on 14 September 2026. Job details • Company: HCLTech • Role: Technical Specialist • Location: Bengaluru (as…

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Skills you'll use

PythonAWSAzureGCPDockerKubernetesGitGoTerraformCI/CD

What you'll do

  • 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).

Who can apply

  • 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.

About HCLTech

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…

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