Vector.dev SME
Posted 3 days ago by 1750484548
Negotiable
Outside
Hybrid
USA
Summary: The Vector.dev SME role requires a professional with proven experience in deploying, configuring, and optimizing Vector.dev in production environments. The position emphasizes collaboration with cross-functional teams and demands strong analytical skills for troubleshooting complex issues. A background in computer science or a related field is essential, along with familiarity with observability technologies. This role offers flexibility in working arrangements, either remotely or in Washington, D.C.
Key Responsibilities:
- Deploy, configure, and optimize Vector.dev in a production environment.
- Collaborate with engineering, operations, and data analytics teams.
- Diagnose and resolve complex issues using analytical and troubleshooting skills.
- Utilize knowledge of data pipelines and observability concepts.
Key Skills:
- Proven experience with Vector.dev in a production environment.
- Strong understanding of Vector.dev components and data pipelines.
- Familiarity with technologies such as Grafana, Prometheus, and ELK stack.
- Excellent analytical and troubleshooting skills.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
- Relevant certifications in observability, data engineering, or cloud platforms (optional).
Salary (Rate): undetermined
City: Washington
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Requirements:
- Experience: Proven experience working with Vector.dev in a production environment, including deployment, configuration, and optimization.
- Technical Skills: Strong understanding of Vector.dev components, data pipelines, and observability concepts. Familiarity with related technologies (e.g., Grafana, Prometheus, ELK stack) is a plus.
- Problem-Solving: Excellent analytical and troubleshooting skills, with the ability to diagnose and resolve complex issues.
- Collaboration: Experience working collaboratively with cross-functional teams, including engineering, operations, and data analytics teams.
- Education: Bachelor s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent work experience.
- Certifications (Optional): Relevant certifications in observability, data engineering, or cloud platforms are a plus.