SREInfrastructure and Data Architect
SREInfrastructure and Data Architect
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Key Responsibilities:
- Infrastructure Design and Implementation:
- Architect and maintain robust infrastructure solutions to ensure system scalability reliability and efficiency.
- Collaborate with crossfunctional teams to design and implement cloudnative and onprem 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 decisionmaking.
- Design and implement pipelines for data transformation storage and retrieval.
- Python Development:
- Write highquality 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.
Key Requirements:
- 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 problemsolving skills and attention to detail.
- Experience:
- 5 years of experience in a similar role involving infrastructure SRE or data architecture.
- Handson experience with cloud platforms and DevOps practices is a plus.
- Soft Skills:
- Excellent communication and collaboration skills to work with crossfunctional teams.
- Proactive mindset and ability to work in a fastpaced environment.
Preferred Qualifications:
- Background in observability platforms especially ELK and Grafana.
- Prior experience in largescale system design and dataintensive environments.
data engineering,infrastructure architecture,python development,cloud-native solutions,skills,infrastructure,reliability,architecture,analytical skills,data transformation,analytics,data,design,automation tools,python,elk stack,site reliability engineering (sre),grafana
Employment Type
Full Time
Company Industry
Key Skills
- Ruby
- Disaster Recovery
- Active Directory
- SOA
- Cloud
- IaaS
- PowerShell
- AWS
- Infrastructure
- Linux
- VPN
- Hyper-V
- VM
- IP
- Identity
