Site Reliability Engineer

Role - Site Reliability Engineer 

Location - Remote 

Key Responsibilities

Site Reliability Engineering

• Apply SRE principles (SLIs, SLOs, error budgets) to improve system reliability
• Implement proactive monitoring, alerting, and self-healing capabilities
• Lead incident response, RCA, and postmortems
• Drive continuous improvement in availability, scalability, and resilience

Data Analytics, Reporting & Observability

• Design and deliver operational dashboards and reports using Power BI
• Leverage Splunk and Dynatrace to analyze logs, metrics, and traces
• Correlate data across platforms to identify trends, anomalies, and risk patterns
• Use Snowflake, Oracle, and MS SQL Server SQL to query, transform, and analyze operational datasets
• Build data models and curated datasets to support reporting and analytics
• Translate operational data into actionable insights for engineering and leadership

Monitoring & Tooling

• Administer and optimize:
• Dynatrace (APM, Grail, DQL, synthetic monitoring)
• Splunk (SPL queries, dashboards, ingestion pipelines)
• Create alerting strategies aligned to SLOs and business priorities
• Integrate observability tools with enterprise reporting and ITSM systems

Power BI & Data Integration

• Develop and maintain Power BI dashboards, reports, and semantic models
• Integrate Power BI with Snowflake, Oracle, MS SQL Server, Splunk, and operational data sources
• Optimize query performance, data refresh, and dataset design
• Implement row-level security and governance controls
• Support enterprise reporting standards and governance

Data Platforms (Snowflake, Oracle, MS SQL Server)

• Write and optimize SQL across:
• Snowflake (advanced analytics, semi-structured data)
• Oracle (PL/SQL, performance tuning, indexing strategies)
• MS SQL Server (T-SQL, stored procedures, query optimization)
• Perform cross-platform data analysis and reconciliation
• Support data modeling (views, marts, transformations) for analytics
• Troubleshoot data performance issues across heterogeneous platforms
• Partner with data engineering teams to improve data quality, lineage, and availability

Automation & Scripting

• Develop automation using PowerShell (primary), Python, or REST APIs
• Build automation workflows for:
• Monitoring enhancements
• Incident enrichment
• Data extraction, transformation, and reporting
• Create self-service tooling for operations teams
• Integrate automation with ServiceNow, schedulers, and observability tools

IT Operations & Service Management

• Integrate monitoring with ServiceNow (incident, event, change management)
• Automate ticket creation, enrichment, and routing workflows
• Ensure alignment with ITIL best practices

File Transfer & Scheduling

• Support and optimize Managed File Transfer (MFT) platforms
• Monitor and troubleshoot file transfer failures, protocol issues, and throughput
• Manage and support enterprise schedulers:
• Control-M
• Stonebranch
• Redwood
• Analyze batch workflows, dependencies, and SLA adherence

Required Qualifications

• Bachelor’s degree or equivalent experience
• 5+ years in SRE, DevOps, or Production Support

Technical Expertise

• Strong knowledge of SRE principles and reliability engineering practices
• Hands-on experience with:
• Dynatrace (APM, DQL, observability)
• Splunk (search, SPL, dashboards)
• Power BI (data modeling, DAX, performance tuning)
• SQL across multiple platforms:
• Snowflake
• Oracle
• MS SQL Server
• PowerShell automation and scripting
• ServiceNow integration

Platforms & Tools

• Experience with:
• Snowflake data platform
• Oracle and SQL Server databases in enterprise environments
• MFT tools (Axway, Globalscape, JSCAPE, Boomi MFT)
• File transfer protocols (SFTP, FTPS, HTTPS, AS2)
• Enterprise schedulers (Control-M, Stonebranch, Redwood)
• Knowledge of cloud and hybrid architectures

Preferred Qualifications

• Experience integrating Power BI with Snowflake, Oracle, and SQL Server
• Strong understanding of cross-platform data architecture and ETL/ELT patterns
• Familiarity with Dynatrace Davis AI and automation workflows
• Advanced Splunk data modeling and ingestion optimization
• Exposure to Chaos Engineering (e.g., Gremlin)
• Certifications:
• Dynatrace
• Splunk
• Snowflake
• Microsoft (Power BI / SQL Server)
• Oracle
• ITIL