Overview
On Site
$50 - $58
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Web Services
Analytical Skill
Ansible
AppDynamics
Bash
Capacity Management
Change Management
Cloud Computing
Collaboration
Configuration Management
Continuous Delivery
Continuous Integration
Dashboard
Data Engineering
Data Flow
DevOps
Extract
Transform
Load
FOCUS
Management
Finance
Good Clinical Practice
Google Cloud Platform
Grafana
Incident Management
Microsoft Azure
Operational Excellence
Performance Tuning
Python
Root Cause Analysis
SAFE
SaaS
Scalability
Scripting
Splunk
Job Details
Job Title: Site Reliability Engineer (SRE) Data Applications
Location: Charlotte, NC
Experience: 8+ Years
Job Overview:
We are seeking an experienced Site Reliability Engineer (SRE) with strong expertise in full-stack observability across data applications within SaaS, hybrid cloud, and on-premises environments. This role will focus on ensuring reliability, scalability, and performance of ETL pipelines, integrations, and data systems through proactive monitoring, alerting, and automation.
Key Responsibilities:
- Design and implement robust observability solutions for data applications across SaaS, hybrid, and on-prem environments.
- Monitor ETL pipelines, integrations, and data flows to ensure stability and performance.
- Develop proactive alerts and build dashboards for ETL failures, latency spikes, or data loss/integrity issues.
- Drive root cause analysis, incident response, and resolution for ETL and data pipeline-related issues.
- Enhance reliability and scalability of systems through performance tuning and automation.
- Implement and manage change management processes ensuring safe deployment and coordination.
- Collaborate closely with Data Engineering, DevOps, and Platform teams to ensure consistent operational excellence.
Required Skills:
- Strong experience in full-stack observability and SRE support for large-scale data applications.
- Hands-on expertise with observability tools such as Grafana, Splunk, Prometheus, and AppDynamics.
- Proven experience with scripting and automation using Python and Bash.
- Configuration management and automation experience with Ansible.
- Deep understanding of ETL tools and frameworks, with a focus on reliability and performance.
- Exposure to SaaS platform support, hybrid cloud, and on-prem infrastructure monitoring.
- Experience in performance tuning, proactive monitoring, and capacity planning.
- Strong understanding of incident management and change management best practices.
Preferred Qualifications:
- Background in large-scale enterprise data systems or financial data environments.
- Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, Google Cloud Platform).
- Excellent analytical and troubleshooting skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.