Raas Infotek · 12 hours ago
Data-AIOps Engineer
Fremont, CA
Contract
Hybrid
Senior Level
5+ years expRaas Infotek is seeking an experienced Data-AIOps Engineer for proactive monitoring and support of data pipelines in an Azure-based ecosystem. The role involves ensuring the reliability of data infrastructure, managing incidents, and collaborating with various teams to maintain service levels and operational efficiency.
Information Technology
Hiring Manager
Sameer Ahmad
Responsibilities
Monitor and support data pipelines on Azure Data Factory , Databricks , and Synapse
Perform incident management , root-cause analysis for L1 issues, and escalate as needed
Surface issues clearly & escalate to appropriate SME teams so they can be fixed at the root — avoid repetitive short fixes
Identify whether issues are at pipeline level, data source level, or infrastructure level and route accordingly
Document incident resolution patterns for reuse
Acknowledge incidents promptly and route them to the correct team
Execute daily health checks, maintain logs, and update system status in collaboration tools
Work strictly as per SOPs documented by the team
Maintain and update SOPs , runbooks, and compliance documentation
Update system health status every 2 hours during the shift i n Confluence or SharePoint
Update incident status every 4 hours for P1/P2 tickets
Complete service tasks on time as per SLA to release queues quickly
Ensure compliance with enterprise data security, governance, and regulatory requirements
Collaborate with data engineers, analysts, DevOps/SRE teams and business teams to ensure reliability and security
Implement best practices in ML operations and productionization
Qualification
Required
5+ years in IT Operations, Data Engineering, or related fields
Experience in Azure Data Services, ETL/ELT processes, and ITIL-based operations
2+ years in AIOps implementation, monitoring, and automation
Bachelor's or master's degree in computer science, Engineering, or a related field
Splunk, PowerShell, or Python, Alerts & Logs Monitoring, Confluence and SharePoint
Basic Understanding of Azure Data Services (ADF, Synapse, Databricks)
Experience in monitoring alerts from data pipelines (Azure Data Factory, Synapse, ADLS, MS Fabric etc.)
Familiarity with ETL/ELT concepts, data validation, and pipeline orchestration
Experience in identifying failures in ETL jobs, scheduled loads, and streaming data services
Hands-on experience with IT monitoring tools (e.g. Splunk, Azure Monitor, Dynatrace, or similar tools)
Skilled in creating and updating runbooks and SOPs
Familiarity with data refresh cycles, batch vs. streaming differences
Familiarity with ITIL processes for incident, problem, and change management
Strong attention to detail, ability to follow SOPs, and effective communication for incident updates
Solid understanding of containerized services (Docker/Kubernetes) and DevOps pipelines (Azure DevOps, GitHub Actions), always with an eye on data layer integration
Proficiency in Jira, Confluence and SharePoint for status updates and documentation
Understanding of scripting (PowerShell, Python, or Shell) for basic automation tasks
Ability to interpret logs and detect anomalies proactively
Analytical thinking for quick problem identification and escalation
Preferred
Exposure to CI/CD for data workflows, real-time streaming (Event Hub, Kafka)
Understanding of Data governance and compliance basics
Experience with anomaly detection, time-series forecasting, and log analysis
Company
Raas Infotek
RAAS Infotek is a full spectrum global Information Technology services company, providing end-to-end business solutions.
201-500 employees
H1B Sponsorship
Raas Infotek has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (52)
2024 (55)
2023 (62)
2022 (44)
2021 (61)
2020 (44)
Funding
Current Stage
Growth StageCompany data provided by crunchbase