Senior Splunk Metrics & Observability Engineer

Nyla Technology Solutions; Maryland; On-site; USD 217,000 - 257,000; Full time

Job summary

Nyla Technology Solutions is seeking a Software Engineer with deep Splunk expertise to design, develop, and maintain a distributed Metrics and Monitoring solution for HPC systems. You will convert telemetry into dashboards, correlation models, and automated alerting pipelines to support mission-critical infrastructure.

The role requires strong Linux, scripting (Python, Shell/Perl), and CI/CD skills, plus experience with log ingestion tools (Syslog-ng/rsyslog) and Kafka.

Qualifications

• Bachelor’s or higher in a relevant field with extensive analytics/INT experience or equivalent.
• Experience with Splunk, alerting, data onboarding, and performance tuning.
• Proficiency in Python and scripting for automation; familiarity with Linux environments.

Responsibilities

• Design, develop, and maintain a distributed Metrics and Monitoring solution for HPC systems.
• Turn telemetry into dashboards, correlation models, and automated alerting pipelines.
• Ensure reliability, performance, and scalability of mission-critical HPC infrastructure.

Skills

Splunk

Alerting & Event Management

Python

Shell/Perl scripting

Syslog-ng/rsyslog

Apache Kafka

IaC (Ansible)

Linux CLI

CI/CD (GitLab CI)

Git version control

Education

Bachelor’s Degree in Data Analytics, Intelligence Studies, CS, Finance/Economics, or related

Master’s Degree in related field

High School Diploma / GED with 14+ years experience in lieu of degree

Tools

Jira

Confluence

Job description

Nyla Technology Solutions is seeking a Software Engineer with deep Splunk expertise to design, develop, and maintain a distributed Metrics and Monitoring solution for HPC systems. You will convert telemetry into dashboards, correlation models, and automated alerting pipelines to support mission-critical infrastructure.

The role requires strong Linux, scripting (Python, Shell/Perl), and CI/CD skills, plus experience with log ingestion tools (Syslog-ng/rsyslog) and Kafka.