Job Requirements
Norfolk, VA
Secret Polygraph Unspecified
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Site Reliability Engineer
Location: Norfolk, VA
Description:
On-site in either Norfolk, VA or San Diego, CA or Honolulu, HI Our client seeks a Site Reliability Engineer to focus on reliability, performance, and scalability of critical systems. The ideal candidate will have experience in designing, implementing, and maintaining highly available systems.
Responsibilities:
Qualifications:
Preferred Qualifications:
Location: Norfolk, VA
Description:
On-site in either Norfolk, VA or San Diego, CA or Honolulu, HI Our client seeks a Site Reliability Engineer to focus on reliability, performance, and scalability of critical systems. The ideal candidate will have experience in designing, implementing, and maintaining highly available systems.
Responsibilities:
- Design and implement scalable, reliable, and efficient systems
- Monitor system performance and identify bottlenecks
- Implement automated monitoring and alerting systems
- Ensure high availability and disaster recovery solutions
- Collaborate with development teams to ensure system reliability
- Troubleshoot and resolve complex system issues
- Optimize system performance and resource utilization
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience in Site Reliability Engineering or related field
- Experience with cloud platforms (AWS, Azure, GCP)
- Strong understanding of networking and security principles
- Experience with configuration management tools (Ansible, Chef, Puppet)
- Knowledge of containerization technologies (Docker, Kubernetes)
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills
Preferred Qualifications:
- Master's degree in Computer Science or related field
- Experience with infrastructure as code (Terraform, CloudFormation)
- Knowledge of CI/CD pipelines and tools (Jenkins, GitLab CI)
- Experience with big data technologies (Hadoop, Spark)
- Familiarity with machine learning and AI concepts
group id: 10106647