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In office (Noida)
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Sponsors visas in Ireland; no register of this country names it

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026.

Overview
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HCLTech is an Indian information technology services and consulting company headquartered in Noida, Uttar Pradesh. Its roots lie in HCL, founded in 1976 by Shiv Nadar and partners, and the IT services business was set up as a separate company in 1991. It provides application development and maintenance, infrastructure and cloud services, cybersecurity, engineering and R&D services, and sells its own software products through HCLSoftware. The company employs more than 200,000 people in some 60 countries and is listed on the Indian stock exchanges.

Job Summary

The Automation L3 Engineer will be responsible for designing, developing, implementing, and supporting automation solutions across J&J's enterprise IT operations environment. The role will focus on reducing manual operational effort, improving service reliability, enabling self-healing/remediation, automating repetitive L1/L2 activities, and integrating automation with monitoring, observability, ITSM, cloud, and infrastructure platforms. The engineer will work closely with Windows, Linux, Cloud, Network, Database, Middleware, Backup/Storage, Observability, Event Management, ServiceNow, and application teams. This aligns with the J&J delivery model already reflected internally, where L3 automation responsibilities include complex operational troubleshooting, self-healing/recovery automation, reusable runbooks, ITIL processes, and regulated healthcare governance

Key Responsibilities

Key Responsibilities 1. Automation Development & Engineering Design, develop, test, and deploy automation solutions for enterprise infrastructure and IT operations. Develop reusable automation workflows, scripts, modules, APIs, and runbooks. Automate repetitive operational activities such as: Server provisioning and configuration Service restart/recovery Health checks User/access administration Disk/file-system remediation Patch orchestration Backup/recovery activities Certificate monitoring/remediation Log collection Configuration validation Application/service availability checks Build automation with appropriate exception handling, logging, rollback, and auditability. 2. Ansible & Infrastructure Automation Develop and maintain Ansible playbooks, roles, inventories, templates, and workflows. Support Ansible Automation Platform / AWX where applicable. Automate Windows and Linux administration through Ansible. Develop standardized reusable automation components. Integrate Ansible with infrastructure, cloud, monitoring, and ITSM platforms. Support migration of legacy scripts/manual procedures into standardized automation. 3. Scripting & API Integration Strong hands-on development capabilities using: Python PowerShell Shell/Bash scripting REST APIs JSON/YAML Git Ansible Develop integrations between monitoring, ITSM, automation, and infrastructure platforms using REST APIs and webhooks. 4. Event-Driven Automation & Self-Healing Work with the Observability and Event Management teams to implement: Monitoring Alert → Event Correlation → Automation Trigger → Remediation → Validation → Ticket/Alert Update Integrate automation with Splunk ITSI, Splunk Observability/AppDynamics, ServiceNow, and other enterprise monitoring solutions. Build automatic diagnostic and remediation workflows for known operational issues. Implement appropriate guardrails and approval mechanisms for production automation. Track success/failure of automated remediation. This is consistent with existing J&J role expectations around self-healing, alerting, recovery mechanisms, and reusable automation runbooks. 5. ServiceNow & ITSM Automation Integrate automation workflows with ServiceNow. Automate fulfillment of standardized service requests where appropriate. Enable event/incident-triggered automation. Automatically update incidents with diagnostic or remediation results. Integrate approved automation into Incident, Request, Change, and Problem Management processes. Maintain traceability and audit logs for automated actions. 6. Infrastructure Automation Develop automation across technologies such as: Domain Automation ExamplesWindows Services, patching, health checks, disk remediation Linux Services, filesystem, processes, patching, configuration Cloud Provisioning, start/stop, tagging, remediation VMware VM provisioning and operational activities Network Configuration checks and standardized changes Storage Capacity checks and operational remediation Backup Failure validation, reruns and health checks Database Health checks and predefined operational activities Middleware Service monitoring/restart and diagnostics Monitoring Alert validation and automated remediation 7. Cloud & Modern Automation Develop automation for Azure and AWS environments. Work with infrastructure-as-code capabilities such as Terraform where applicable. Automate cloud-resource provisioning, configuration, tagging, validation, and operational remediation. Support container/Kubernetes automation where required. Integrate automation into CI/CD pipelines where appropriate. 8. Incident, Problem & Major Incident Support Act as L3 automation SME during major operational incidents. Quickly develop or execute approved automation for diagnostics and recovery. Analyze recurring incidents and identify candidates for automation. Convert RCA corrective/preventive actions into automated controls where appropriate. Improve MTTD and MTTR through automated diagnostics and remediation. The existing J&J operat

Skill Requirements

Mandatory Technical Skills Skill Expected LevelAnsible Advanced Python Strong PowerShell Strong Shell/Bash Working/Strong REST API Strong JSON/YAML Strong Git Strong Windows/Linux Strong operational knowledge ServiceNow Integration/automation experience Azure/AWS Working knowledge ITIL Incident, Problem & Change knowledge Preferred Skills Ansible Automation Platform Terraform ServiceNow APIs / Flow Designer Splunk / Splunk ITSI AppDynamics / Splunk Observability Azure Automation AWS Systems Manager CI/CD platforms Kubernetes VMware automation GitHub/GitLab/Azure DevOps AI/GenAI-assisted operations Event-driven automation/AIOps

Other Requirements

Automation Governance & Security Given the J&J environment, the engineer should: Follow formal Change and Release Management processes. Ensure production automation has appropriate RBAC, credential management, approvals, logging, and rollback controls. Maintain version-controlled automation code. Ensure automation is traceable and auditable. Support regulatory/compliance requirements applicable to healthcare environments. Follow controlled deployment procedures for production automation. Internal J&J material similarly calls out governance, audit/compliance requirements, ServiceNow/ITIL integration, and controlled operational changes. L3 Role Expectations The Automation L3 Engineer should be capable of: Independently designing complex automation solutions. Troubleshooting failed automation workflows. Performing code reviews. Defining reusable automation standards. Mentoring L1/L2 engineers. Supporting knowledge transition. Leading technically complex automation implementations. Engaging directly with infrastructure/application SMEs. Identifying automation opportunities from incidents and operational data. Driving continuous improvement rather than waiting for automation requests. Existing J&J L3 role definitions also emphasize independent handling of complex scenarios, mentoring L1/L2 teams, identifying risks/improvements, and acting as the technical SME. Key Success Measures The role should be measured on business outcomes, not just scripts developed: Manual effort/hours eliminated Automation adoption/utilization Automation success rate Number of manual activities automated Reduction in recurring incidents Reduction in L1/L2 operational effort MTTD/MTTR improvement % eligible incidents auto-remediated Automation failure rate Reduction in human-error-related incidents Reusable automation coverage across towers

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