Senior Support Lead
HCLTech
Senior Support Lead
About this role
Job Summary
Senior SRE / Observability Engineer
Role Type: Contractor
Level: Senior / Lead
Primary Focus: Core observability architecture, runtime health, alerting, SLOs, and runbooks
Role Summary
The Senior SRE / Observability Engineer will lead the technical implementation of core observability patterns for AI/ML services and supporting platforms. This role owns runtime health, service health, monitoring standards, alerting patterns, SLO definitions, and operational runbooks, with strong emphasis on Datadog, GCP, GKE/Cloud Run, logs, metrics, traces, SQL, Python, and production operations.
Key Responsibilities
- Define and implement runtime/service health observability patterns
- Establish Datadog monitor, dashboard, tagging, and naming standards
- Build reusable alerting, SLO, and runbook examples
- Implement logs, metrics, and traces patterns across priority services
- Partner with Platform Observability Engineer on Datadog implementation
- Support AI/model and data observability workstreams where production operations patterns are needed
- Document implementation patterns for handoff to ML Ops, AI Ops, Infra, and app teams
Required Skills
- Lead: SRE/observability/monitoring, alerting, SLOs, runbooks, runtime health
- Strong: Datadog, GCP, GKE/Cloud Run, logs, metrics, traces, SQL, Python, Bash
- Working Knowledge: BigQuery, Databricks, AI/ML model performance metrics, data quality concepts
Key Responsibilities
Senior SRE / Observability Engineer
Role Type: Contractor
Level: Senior / Lead
Primary Focus: Core observability architecture, runtime health, alerting, SLOs, and runbooks
Role Summary
The Senior SRE / Observability Engineer will lead the technical implementation of core observability patterns for AI/ML services and supporting platforms. This role owns runtime health, service health, monitoring standards, alerting patterns, SLO definitions, and operational runbooks, with strong emphasis on Datadog, GCP, GKE/Cloud Run, logs, metrics, traces, SQL, Python, and production operations.
Key Responsibilities
- Define and implement runtime/service health observability patterns
- Establish Datadog monitor, dashboard, tagging, and naming standards
- Build reusable alerting, SLO, and runbook examples
- Implement logs, metrics, and traces patterns across priority services
- Partner with Platform Observability Engineer on Datadog implementation
- Support AI/model and data observability workstreams where production operations patterns are needed
- Document implementation patterns for handoff to ML Ops, AI Ops, Infra, and app teams
Required Skills
- Lead: SRE/observability/monitoring, alerting, SLOs, runbooks, runtime health
- Strong: Datadog, GCP, GKE/Cloud Run, logs, metrics, traces, SQL, Python, Bash
- Working Knowledge: BigQuery, Databricks, AI/ML model performance metrics, data quality concepts
Skill Requirements
Other Requirements
Frequently Asked Questions
Is the salary disclosed for the Senior Support Lead position at HCLTech?
The salary for this Senior Support Lead role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Support Lead position at HCLTech located?
This Senior Support Lead role at HCLTech is based in Chicago, United States. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Senior Support Lead position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Senior Support Lead job at HCLTech posted?
This Senior Support Lead position at HCLTech was posted on Sep 9, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Support Lead
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.