Senior SRE Engineer

Waferwire Cloud Technologies; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Waferwire Cloud Technologies in Hyderabad is seeking a Senior SRE Engineer to support large-scale data, telemetry, and AI/ML pipelines within the Substrate Platform. You will own reliability, drive observability, and lead incident investigations in collaboration with offshore SRE teams.

The role focuses on production operations, automation, and coordination with engineering partners to maintain health and performance across complex pipelines.

Qualifications

• 6+ years in SRE, Service Engineering, Production Engineering, or MLOps.
• Hands-on production support experience with data and/or ADF/Azure pipelines.
• Strong SQL and/or KQL production data troubleshooting skills.
• Strong scripting/automation skills.
• Experience troubleshooting distributed data-processing systems.
• Experience with observability, telemetry, incident management, and RCA.
• Strong stakeholder communication and technical leadership skills.

Responsibilities

• Own reliability and operational health of production data, telemetry, and AI/ML pipelines.
• Monitor and troubleshoot pipeline failures, latency, data freshness, processing errors, and service dependencies.
• Lead production incident investigations, RCA, and corrective actions.
• Automate repetitive operational and troubleshooting activities using Python, SQL/KQL, PowerShell, or Bash.
• Support deployment readiness, production validation, and post-deployment monitoring.
• Coordinate technical execution with offshore SRE engineers and communicate risks, blockers, and production health to engineering stakeholders.
• Improve dashboards, alerts, telemetry, and production diagnostics.
• Support pipeline deployments, production validation, and reliability improvements.

Skills

SRE / Production Engineering

SQL / KQL troubleshooting

Automation scripting (Python/PowerShel

Observability / incident management

Distributed data-processing systems

Stakeholder communication / technical

Tools

Azure Data Factory

Azure Data Explorer / Kusto

Azure Databricks

Azure Synapse

Azure Machine Learning

Azure DevOps

Git / CI/CD

Python

PowerShell

SQL

Job description

Senior SRE Engineer, AI/ML & Substrate Platform

Location: Hyderabad
Experience: 610+ years

Role Summary

We are seeking a Senior SRE Engineer to support large-scale data, telemetry, and ADF / ML pipelines within the Substrate environment. This role combines Site Reliability Engineering and production operations, with a strong focus on incident management, pipeline reliability, observability, and automation.

The engineer will serve as the onsite technical interface with engineering teams and coordinate execution with offshore SRE engineers.

Key Responsibilities

• Own reliability and operational health of production data, telemetry, and AI/ML/ADF pipelines.
• Monitor and troubleshoot pipeline failures, latency, data freshness, processing errors, and service dependencies.
• Lead production incident/ICM investigation, RCA, and corrective engineering actions.
• Automate repetitive operational and troubleshooting activities using Python, SQL/KQL,PowerShell, or Bash.
• Support deployment readiness, production validation, and post-deployment monitoring.
• Partner with engineering teams during critical production investigations.
• Identify recurring reliability issues and drive permanent engineering fixes and toil reduction.
• Coordinate technical execution with offshore SRE engineers and communicate risks, blockers, and production health to engineering stakeholders.
• Improve dashboards, alerts, telemetry, and production diagnostics.
• Support pipeline deployments, production validation, and reliability improvements.

Required Skills

• 6+ years in SRE, Service Engineering, Production Engineering, or MLOps.
• Hands-on production support experience with data and/or ADF/Azure pipelines.
• Strong SQL and/or KQL production data troubleshooting skills.
• Strong scripting/automation skills.
• Experience troubleshooting distributed data-processing systems.
• Experience with observability, telemetry, incident management, and RCA.
• Strong stakeholder communication and technical leadership skills.

Preferred Skills

• Microsoft Azure experience.
• Kusto/KQL, Azure Data Explorer.
• Azure Machine Learning, Databricks, Synapse, Spark, ADF or comparable AI/data platforms.
• Azure DevOps/Git and CI/CD.
• Experience with telemetry and data-processing workloads.

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.