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Senior Observability Engineer with Splunk & Open Telemetry

SRI Tech Solutions

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

Analytics
Splunk
Root Cause Analysis
Synopsys
MEAN Stack
DevOps
IDS
JSON
Java
Cloud Computing
Log Analysis
Orchestration
Python
SPL
Machine Learning (ML)

Summary

Synopsis:

To design, implement, and optimize a full-stack observability strategy using the Splunk Observability Cloud (formerly SignalFx) and Splunk Enterprise/Cloud. You will ensure that engineering teams have 360-degree visibility into system health, moving the organization from reactive firefighting to proactive pattern-based incident prevention.

Key Responsibilities:

Data Orchestration: Architect the ingestion of the Three Pillars (Metrics, Logs, Traces) using OpenTelemetry (OTel) collectors.
Aggregation Strategy: Develop logic to aggregate high-cardinality data to reduce noise while maintaining signal for troubleshooting.
Analytical Modeling: Use SPL (Search Processing Language) and SignalFlow to perform pattern analysis, detecting anomalies before they trigger traditional threshold alerts.
Visual Storytelling: Build executive and technical dashboards that correlate disparate data points (e.g., showing how a spike in 500-errors in Logs relates to a specific span in a Trace).

Required Hands on Technical Skills:

1. Telemetry & Data Specialization

Logs: Proficiency in Logging-in-Context. You must be able to link logs directly to trace IDs so developers can jump from a failing trace to the specific line of code in the logs.
Metrics: Expertise in SignalFlow (Splunk’s background streaming analytics language). You should know how to calculate percentiles ($P95, P99$), rates of change, and historical averages.
Traces: Deep understanding of Distributed Tracing. You must know how to instrument applications (Java, Python, Go) to capture spans and identify bottlenecks in microservices.

2. Pattern Analysis & Aggregation

Anomaly Detection: Ability to configure Metric Finder and MDetector using standard deviations or Mean Absolute Deviation to find outliers.
Data Scrubbing: Skills in using Splunk Ingest Actions or Edge Processors to filter, mask, or aggregate data at the edge to save on license costs and improve search speed.
Pattern Discovery: Using Splunk’s machine learning commands (e.g., findkeywords, cluster) to group millions of log events into a few dozen patterns for faster root cause analysis.

3. Hands on - Dashboards & Visualization

High-Cardinality Handling: Designing dashboards that don’t break when viewing thousands of containers.
Contextual Drill-downs: Building Glass Tables (in ITSI) or Unified Dashboards that allow a user to click a metric and immediately see the associated logs.
Frameworks: Familiarity with the Dashboard Studio and JSON-based dashboard definitions for version control (GitOps).

Preferred Qualifications & Certifications:

DevOps & IAC skills
Splunk Cloud Certified Metrics User: Focuses on the metrics and alerting side.
Splunk Core Certified Power User: Essential for mastering complex SPL for log analysis.
OpenTelemetry Expert: Knowledge of the OTel Collector configuration (receivers, processors, exporters) is currently the most in-demand skill for this role.

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.

Dice Id: 10354711
Position Id: 9053456
Posted 5 hours ago

Fitment

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Praveen Palavalasa

Lead Talent Acquisition @ SRI Tech Solutions

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Remote

•

Yesterday

About the RoleWe are seeking a highly skilledSenior Site Reliability Engineer (SRE) Observability Platformto design, build, and operate enterprise-scale observability solutions across cloud environments. The ideal candidate will have extensive experience with logging, metrics, distributed tracing, monitoring, and infrastructure automation, helping drive reliability, scalability, and operational excellence for mission-critical applications.This role requires expertise in modern observability tec

Easy Apply

Contract

50 - 55

Splunk Dashboard Engineer

Remote or Morrisville, North Carolina

•

Today

RESPONSIBILITIES: Kforce has a client that is seeking a Splunk Dashboard Engineer in Morrisville, NC. Summary: The ideal candidate specializes in translating security telemetry-logs, alerts, notable events, and metrics-into actionable dashboards that help analysts detect threats faster, investigate incidents efficiently, and measure the effectiveness of detection and response workflows. This role directly supports SOC operations, leadership visibility, and continuous improvement of security out

Third Party, Contract

$55 - $60 hourly

Splunk Monitoring & Observability Architect

Remote

•

12d ago

Job Role: Monitoring & Observability Architect (with focus on Splunk) Location: Canada/USA- Remote No of position: 1 Exp. Start date: 2nd week of Aug Year of Experience: 12-15 Years Type: Fulltime only Role overview: Design, implement, and operate scalable observability platforms to provide metrics, logs, traces, and alerts for cloud-native, distributed systems. Responsibilities Build and maintain Observability pipelines and dashboards (metrics, logs, traces).Define and track SLOs, SLIs, and SLA

Easy Apply

Full-time

$140,000 - $160,000

Splunk SME

Remote or Juno Beach, Florida

•

Today

RESPONSIBILITIES: Kforce has a client that is seeking a Splunk SME in Juno Beach, FL. Responsibilities: * Splunk SME will configure and maintain ingestion of monitoring events from ScienceLogic and related observability platforms into Splunk * Implement client-defined data parsing, field extraction, normalization, and event enrichment requirements * Develop operational dashboards and scorecards providing visibility into infrastructure health, availability, capacity, and performance * Create rep

Contract

$70 - $80 hourly

Job Details

Skills

Analytics
Splunk
Root Cause Analysis
Synopsys
MEAN Stack
DevOps
IDS
JSON
Java
Cloud Computing
Log Analysis
Orchestration
Python
SPL
Machine Learning (ML)

Summary

Synopsis:

Key Responsibilities:

Data Orchestration: Architect the ingestion of the Three Pillars (Metrics, Logs, Traces) using OpenTelemetry (OTel) collectors.
Aggregation Strategy: Develop logic to aggregate high-cardinality data to reduce noise while maintaining signal for troubleshooting.
Analytical Modeling: Use SPL (Search Processing Language) and SignalFlow to perform pattern analysis, detecting anomalies before they trigger traditional threshold alerts.
Visual Storytelling: Build executive and technical dashboards that correlate disparate data points (e.g., showing how a spike in 500-errors in Logs relates to a specific span in a Trace).

Required Hands on Technical Skills:

1. Telemetry & Data Specialization

Logs: Proficiency in Logging-in-Context. You must be able to link logs directly to trace IDs so developers can jump from a failing trace to the specific line of code in the logs.
Metrics: Expertise in SignalFlow (Splunk’s background streaming analytics language). You should know how to calculate percentiles ($P95, P99$), rates of change, and historical averages.
Traces: Deep understanding of Distributed Tracing. You must know how to instrument applications (Java, Python, Go) to capture spans and identify bottlenecks in microservices.

2. Pattern Analysis & Aggregation

Anomaly Detection: Ability to configure Metric Finder and MDetector using standard deviations or Mean Absolute Deviation to find outliers.
Data Scrubbing: Skills in using Splunk Ingest Actions or Edge Processors to filter, mask, or aggregate data at the edge to save on license costs and improve search speed.
Pattern Discovery: Using Splunk’s machine learning commands (e.g., findkeywords, cluster) to group millions of log events into a few dozen patterns for faster root cause analysis.

3. Hands on - Dashboards & Visualization

High-Cardinality Handling: Designing dashboards that don’t break when viewing thousands of containers.
Contextual Drill-downs: Building Glass Tables (in ITSI) or Unified Dashboards that allow a user to click a metric and immediately see the associated logs.
Frameworks: Familiarity with the Dashboard Studio and JSON-based dashboard definitions for version control (GitOps).

Preferred Qualifications & Certifications:

DevOps & IAC skills
Splunk Cloud Certified Metrics User: Focuses on the metrics and alerting side.
Splunk Core Certified Power User: Essential for mastering complex SPL for log analysis.
OpenTelemetry Expert: Knowledge of the OTel Collector configuration (receivers, processors, exporters) is currently the most in-demand skill for this role.

Dice Id: 10354711
Position Id: 9053456
Posted 5 hours ago

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Contact the job poster

Praveen Palavalasa

Lead Talent Acquisition @ SRI Tech Solutions

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote

•

Yesterday

Easy Apply

Contract

50 - 55

Splunk Dashboard Engineer

Remote or Morrisville, North Carolina

•

Today

Third Party, Contract

$55 - $60 hourly

Splunk Monitoring & Observability Architect

Remote

•

12d ago

Easy Apply

Full-time

$140,000 - $160,000

Splunk SME

Remote or Juno Beach, Florida

•

Today

Contract

$70 - $80 hourly

Senior Observability Engineer with Splunk & Open Telemetry

Skills

Summary

Dice Job Match Score™

Praveen Palavalasa

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Senior Observability Engineer with Splunk & Open Telemetry

Job Details

Skills

Summary

Dice Job Match Score™

Praveen Palavalasa

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