Overview
Position : Senior Observability Engineer (Main Frame, Splunk and Grafana)
Type : On-site 5 days
Location : Delaware
Hourly Rate : $55-60 (C2C)
We are seeking a highly skilled and experienced Senior Observability Engineer to join our team with Senior Observability Engineer – Mainframe to Cloud-based expertise. The ideal candidate will have extensive hands-on experience with Splunk and Grafana, a strong background in building scalable data pipelines, and a unique proficiency with legacy mainframe systems with Cobol / JCL / REC.
Responsibilities
- Proven expertise with Splunk Enterprise (installation, configuration, performance tuning, troubleshooting) including dashboard development, data source configuration, and creating advanced queries (SPL).
- Strong experience in Mainframe and cloud monitoring. Strong hands-on experience with REC scripting and JCL. A solid understanding of mainframe systems is essential for effective data extraction.
- Experience with a variety of observability tools beyond Splunk and Grafana, such as Prometheus, and Open Telemetry.
- Proficient in Bash and Python scripting; experience with other scripting languages is a plus
- Solid understanding of Linux / Unix operating systems
- Proven ability to design and build data pipelines, including familiarity with concepts like data ingestion, ETL / ELT, and data warehousing.
- Hands-on experience integrating cloud platforms (AWS, GCP, Azure) and Kubernetes with Splunk
Qualifications
Required SkillsProven expertise with Splunk Enterprise (installation, configuration, performance tuning, troubleshooting) including dashboard development, data source configuration, and creating advanced queries (SPL).
Strong experience in Mainframe and cloud monitoring. Strong hands-on experience with REC scripting and JCL. A solid understanding of mainframe systems is essential for effective data extraction.Experience with a variety of observability tools beyond Splunk and Grafana, such as Prometheus, and Open Telemetry.Proficient in Bash and Python scripting; experience with other scripting languages is a plusSolid understanding of Linux / Unix operating systemsProven ability to design and build data pipelines, including familiarity with concepts like data ingestion, ETL / ELT, and data warehousing.Hands-on experience integrating cloud platforms (AWS, GCP, Azure) and Kubernetes with SplunkPreferred QualificationsFamiliarity with CI / CD tools and DevOps methodologies is an advantage
Certifications such as Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, AWS Certified Solutions ArchitectSeniority level
ExecutiveEmployment type
ContractJob function
Information TechnologyIndustries
Software DevelopmentJ-18808-Ljbffr