Job Description
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Written by AI from the job title and company, not by Dice, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Site Reliability Engineer (SRE) / Software Engineer (Kubernetes, AWS) at Dice will play a crucial role in ensuring the reliability, performance, and scalability of our cloud-based applications. This position demands a blend of software engineering and systems engineering skills to automate operations, improve system reliability, and implement best practices in monitoring and performance management. The ideal candidate will work closely with development teams to design, build, and support infrastructure solutions while maintaining high standards of availability and security.
Job Responsibilities
- Design, build, and maintain scalable infrastructure on AWS to support various applications.
- Implement and manage Kubernetes clusters for deployment and orchestration of containerized applications.
- Develop automation scripts to streamline deployment, configuration, and management of systems.
- Monitor system performance, reliability, and availability, applying proactive measures to prevent outages.
- Collaborate with software development teams to enhance the CI/CD pipeline for seamless code integration and deployment.
- Troubleshoot and resolve system issues promptly, ensuring minimal disruption to business operations.
- Establish best practices for system monitoring, incident response, and disaster recovery.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in Site Reliability Engineering, Software Engineering, or related disciplines.
- Proficiency in AWS services and understanding of cloud architecture concepts.
- Hands-on experience with container orchestration platforms, especially Kubernetes.
- Strong programming skills in languages such as Python, Go, or Java.
- Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation.
- Experience with monitoring tools such as Prometheus, Grafana, or ELK stack.
Technologies & Tools
This position will utilize a variety of advanced technologies and tools including AWS infrastructure services (EC2, S3, RDS), Kubernetes for container orchestration, and automation frameworks like Terraform or Ansible. Familiarity with monitoring solutions like Grafana, Prometheus, and AWS CloudWatch will be essential for effective system performance evaluation. The successful candidate will also engage with CI/CD tools and code repositories such as Git, Jenkins, or GitLab.
Ideal Candidates
The ideal candidate for this position will possess a strong analytical mindset and a proactive approach to problem-solving. They should be comfortable working in a fast-paced, collaborative environment and demonstrate excellent communication skills for effective teamwork. Experience in agile development practices and a commitment to continuous learning and improvement will further enhance their suitability for this role. A passion for technology and a desire to innovate in a cloud-focused environment will be key traits for success in this position.
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