Splunk Developer @ Charlotte, NC (Onsite)
Company : Diverse Lynx
Location : Charlotte, NC, 28202
Posted Date : 26 October 2025
Job Type : Other
Category : Software Development
Occupation : Developer
Job Details
Skill: Splunk Developer
Location: Charlotte, NC (Onsite)
Type: Contract
We are looking for 12+ years' experience Enterprise Observability Engineer, who would leverage powerfully insightful data
to inform our systems and solutions, and we're seeking an experienced pipeline-centric data engineer to put it to good
use in building out ETL and Data Operations framework (Data Preparation / Normalization and Ontological processes).
Technical Skills:
Location: Charlotte, NC (Onsite)
Type: Contract
We are looking for 12+ years' experience Enterprise Observability Engineer, who would leverage powerfully insightful data
to inform our systems and solutions, and we're seeking an experienced pipeline-centric data engineer to put it to good
use in building out ETL and Data Operations framework (Data Preparation / Normalization and Ontological processes).
Technical Skills:
- Five or more years of experience with Python, SQL, and data visualization/exploration tools
- Full stack observability lead with Splunk (preferred) / Datadog, Infra monitoring, App onboarding and APM experience
- Proficiency in observability tools: They are familiar with tools for logging, metrics, and tracing, such as ELK Stack, Splunk and distributed tracing systems.
- Familiarity with OOB dashboards and templates creation. Trying to integrate ITSI to correlate event data for analytics.
- Communication skills, especially for explaining technical concepts to nontechnical business leaders
- General understanding of distributed systems: They need to understand the complexities of modern architectures, including microservices, cloud-native environments, and hybrid infrastructure.
- Familiarity with the AWS ecosystem, specifically Redshift and RDS
- Communication skills, especially for explaining technical concepts to nontechnical business leaders
- Ability to work on a dynamic, research-oriented team that has concurrent projects
- Experience in building or maintaining ETL processes
- Experience in insurance domain
- Professional certification.
- Strong understanding of distributed systems: They need to understand the complexities of modern architectures, including microservices, cloud-native environments, and hybrid infrastructure.
- Proficiency in observability tools: They are familiar with tools for logging, metrics, and tracing, such as ELK Stack, Prometheus, Grafana, and distributed tracing systems.
- Data analysis and visualization skills: They can analyze telemetry data to identify trends and patterns and create visualizations to communicate insights.
- Scripting and automation: They can automate tasks and create scripts to manage observability infrastructure.
- Should have experience with cloud platforms like AWS, Azure, and GCP
- Key Responsibilities and Skill
- Work with Splunk and internal teams to create a factory model to onboard applications to Splunk
- Use agile software development processes to make iterative improvements to our back-end systems
- Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
- Build data pipelines that clean, transform, and aggregate data from disparate sources
- Develop and expand PubSub models and scaling event/messaging architectures
- Establish and extrapolate Ontological/Semantic standards
- Develop models that can be used to make predictions and answer questions for the overall business.
- Designing and Implementing Observability Pipelines: Observability engineers create robust pipelines to collect, aggregate, and analyze data from various sources.
- Monitoring and ing: They establish monitoring systems and s to detect anomalies and performance issues in real-time.
- Metric & Instrumentation Standards: Defining common metric standards for every stage of the Application Lifecycle process and Instrumentation standards and scripting including OTel standards alignment
- Data Analysis and Visualization: They analyze telemetry data (logs, metrics, traces) to gain insights into system behavior and identify trends.
- Incident Response: They investigate and troubleshoot incidents, using observability data to understand the root cause and implement solutions.
- Collaboration and Communication: They collaborate with development, SRE, and other teams to ensure observability practices are integrated into workflows and to share insights.
- Staying Up-to-Date: They stay current with the latest trends in observability, logging, monitoring, and cloud technologies.
- Documentation and Knowledge Sharing: They create comprehensive documentation for observability systems and processes and share knowledge with other teams .
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