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About The Role
We are seeking a Site Reliability Engineer (SRE) or Infrastructure and Data Architect with expertise in infrastructure architecture, cross-functional SRE practices, and Python development. The ideal candidate will possess strong analytical skills, particularly in data engineering, and preferably have a background in observability tools such as ELK (Elasticsearch, Logstash, Kibana) and Grafana.
Key Responsibilities
We are seeking a Site Reliability Engineer (SRE) or Infrastructure and Data Architect with expertise in infrastructure architecture, cross-functional SRE practices, and Python development. The ideal candidate will possess strong analytical skills, particularly in data engineering, and preferably have a background in observability tools such as ELK (Elasticsearch, Logstash, Kibana) and Grafana.
Key Responsibilities
- Infrastructure Design and Implementation:
- Architect and maintain robust infrastructure solutions to ensure system scalability, reliability, and efficiency.
- Collaborate with cross-functional teams to design and implement cloud-native and on-prem solutions.
- Site Reliability Engineering (SRE):
- Develop, deploy, and maintain automation tools to optimize operational workflows and incident responses.
- Enhance system reliability and reduce manual intervention by implementing SRE best practices.
- Data Engineering and Analytics:
- Analyze large datasets to identify patterns, optimize processes, and improve decision-making.
- Design and implement pipelines for data transformation, storage, and retrieval.
- Python Development:
- Write high-quality, maintainable, and efficient Python code for automation, integrations, and system enhancements.
- Develop scripts and tools to support operational and engineering needs.
- Observability and Monitoring:
- Set up and maintain observability tools like ELK and Grafana for monitoring system health and performance.
- Implement alerting mechanisms to proactively identify and resolve system issues.
- Technical Expertise:
- Strong experience in infrastructure architecture and SRE practices.
- Proficient in Python programming and development.
- Familiarity with modern observability tools (ELK Stack, Grafana).
- Knowledge of data engineering and analytics.
- Analytical Skills:
- Ability to analyze complex systems and datasets for optimization and troubleshooting.
- Strong problem-solving skills and attention to detail.
- Experience:
- 5+ years of experience in a similar role involving infrastructure, SRE, or data architecture.
- Hands-on experience with cloud platforms and DevOps practices is a plus.
- Soft Skills:
- Excellent communication and collaboration skills to work with cross-functional teams.
- Proactive mindset and ability to work in a fast-paced environment.
- Background in observability platforms, especially ELK and Grafana.
- Prior experience in large-scale system design and data-intensive environments.
Key Skills
Ranked by relevance
c
ai
python
grafana
elk
ha
cloud
esp
nat
technical expertise
incident response
elasticsearch
storage
devops
scala
excel
cis
ui
kf
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- Posted
- Nov 22, 2024
- Type
- Contract
- Level
- Mid-Senior
- Location
- Lithuania
- Company
- GiGa-Ops Global Solutions
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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