ETL Site Reliability Engineer

Robotic Technologies Automation; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Robotic Technologies Automation seeks an experienced Observability Engineer to design and maintain monitoring for multi-environment data flows. You will implement observability tooling, automate data-related tasks, and ensure governance across SaaS, hybrid, and on-prem systems.

Key skills include Grafana, Splunk, Prometheus, OpenTelemetry, and strong scripting with Python/Bash. Kubernetes/OpenShift experience and CI/CD familiarity are essential for success.

Qualifications

• Experience implementing observability strategies across SaaS, hybrid, and on-prem environments.

Responsibilities

• Design, implement, and maintain observability tooling (Grafana, Splunk, Prometheus) for many data flows.
• 2. Monitor and troubleshoot data movement across SaaS, hybrid, and on-prem deployments.
• 3. Collaborate on multi-step data integration and data governance initiatives.
• 4. Support vendor-driven changes and ensure compliant observability coverage across the stack.
• 5. Maintain CI/CD pipelines and containerized environments (OpenShift, Kubernetes).
• 6. Develop automation scripts (Python, Bash) and manage configuration with Ansible.

Skills

Observability

SRE practices

Python

Bash

Automation

ETL

Data governance

Data quality

API integrations

Kafka

SQL

Distributed tracing

Tools

Grafana

Splunk

Prometheus

OpenTelemetry

Python

Bash

Ansible

OpenShift

Kubernetes

CI/CD

Job description

• Observability engineering (metrics/logs/traces, tooling like. Grafana/Splunk/OTel/Prometheus).
• Strong experience with observability tools (Grafana / Splunk / Prometheus).
• Familiarity with distributed tracing (Appd, OpenTelemetry).
• Proficiency in scripting (Python, Bash) and automation (ansible).
• ETL and Integration experience.
• Strong understanding of data lineage, data quality, multi step integration orchestration.
• Familiarity with microservices, API integrations, event driven architecture, Kafka/MQ.
• Monitor and troubleshoot horizontal data movement across SAAS, hybrid, on-prem.
• Ability to visualize and monitor complex data flows across multiple systems.
• SAAS Platform support.
• Experience managing SAAS-to-SAAS internal to external, and vendor to in-house integrations.
• Ability to support vendor driven changes and maintain observability coverage.
• Cloud and Platform engineering.
• Openshift, Kubernetes and containerized environments.
• Familiarity with CI/CD pipelines.
• Database & SQL.
• Strong knowledge of data governance and compliance frameworks.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract