Site Reliability Engineer

Job Title: Data SRE Engineer, AI/ML Data & Telemetry
Job Location: Hyderabad, Telangana
Experience: 4 to 7 Years
About WCT:
Wafer Wire Technology Solutions (WCT) specializes in delivering comprehensive Cloud, Data and AI solutions through Microsoft's technology stack. Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment).
Role Summary:
We are seeking a hands-on Data SRE Engineer to support production AI/ML, data, and telemetry pipelines. The role will focus on pipeline health, data reliability, observability, incident troubleshooting, and production engineering.
Key Responsibilities:
Monitor production AI/ML and data pipeline health and execution.
Troubleshoot pipeline failures, telemetry gaps, latency, data freshness, data-quality, and processing issues.
Analyze production issues using SQL/KQL, logs, metrics, and telemetry.
Participate in incident triage, root-cause analysis, and corrective actions.
Build and maintain dashboards, alerts, operational queries, and health checks.
Support AI/ML pipeline and service deployment validation and production monitoring.
Develop automation for recurring troubleshooting and operational activities.
Maintain troubleshooting documentation and production runbooks.
Participate in production support/on-call rotations.
Required Skills:
4+ years in Data Engineering, SRE, Production Engineering, MLOps, or Platform Engineering.
Experience supporting production data or AI/ML pipelines.
Strong SQL and data troubleshooting skills.
Python, PowerShell, Bash, or equivalent scripting experience.
Experience with monitoring, telemetry, and production incident troubleshooting.
Good understanding of distributed data-processing and pipeline architectures.
Preferred Skills:
Azure cloud experience.
Kusto/KQL and Azure Data Explorer.
Azure Machine Learning, Databricks, Spark.
Event Hubs, Kafka, or similar streaming technologies.
Azure DevOps/Git and CI/CD pipelines.
Equal Employment Opportunity Declaration:
WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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