Site Reliability Engineer

Job not on LinkedIn

🔥 14 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $70k - $90k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 0%

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NeuroHire

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

☁️ SaaS

👥 HR Tech

🎯 Recruiter

SaaS • HR Tech • Recruitment

NeuroHire is an all-in-one SaaS "Career Operating System" that combines AI-driven automation with human career specialists to help IT professionals—especially international students and visa-dependent candidates—navigate the U. S. tech job market. The platform automates job discovery, resume and ATS optimization, large-scale application management, and company-specific interview preparation while human experts verify submissions, provide cultural and visa-aware guidance, and deliver coaching. NeuroHire positions itself as a human+AI symbiosis validated in a pilot program to deliver interview invites and job offers for IT candidates seeking U. S. roles.

📋 Description

• Assist in monitoring the availability, performance, and reliability of applications, services, and infrastructure. • Support the maintenance and optimization of cloud-based environments using AWS, Microsoft Azure, or Google Cloud Platform (GCP). • Monitor system health, application performance, resource utilization, and service availability. • Assist in identifying, troubleshooting, and resolving infrastructure, application, and production-related issues. • Develop automation scripts using Python, Bash, or Shell scripting to reduce repetitive operational tasks. • Work with Linux-based systems and command-line tools to manage and troubleshoot infrastructure. • Support the implementation and maintenance of monitoring, logging, and alerting solutions. • Collaborate with DevOps and software engineering teams to improve deployment reliability and system performance. • Assist in managing CI/CD pipelines and supporting automated deployment workflows. • Participate in incident investigation, root cause analysis, and documentation of technical issues. • Support infrastructure automation using tools such as Terraform or Ansible. • Work with containerization technologies such as Docker and Kubernetes. • Assist in maintaining system security, access controls, backups, and operational best practices. • Maintain technical documentation for system configurations, monitoring procedures, and incident resolution. • Contribute to improving system scalability, fault tolerance, and operational efficiency.

🎯 Requirements

• Master's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related technical field. • 0–1 year of experience in Site Reliability Engineering, DevOps, Cloud Engineering, Systems Administration, or a related technical role. • Strong understanding of operating systems, particularly Linux, command-line tools, and basic system administration. • Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). • Basic knowledge of networking concepts, including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls. • Proficiency in at least one scripting or programming language, such as Python, Bash, or Go. • Understanding of system monitoring, logging, alerting, and performance management concepts. • Familiarity with Git and GitHub for version control and collaborative development. • Basic understanding of CI/CD pipelines and automated deployment processes. • Familiarity with Docker and containerization concepts. • Basic knowledge of Kubernetes and container orchestration is an advantage. • Understanding of infrastructure automation and Infrastructure as Code (IaC) concepts. • Familiarity with monitoring tools such as Prometheus, Grafana, Datadog, or CloudWatch is a plus. • Understanding of system reliability, scalability, availability, and fault tolerance. • Strong troubleshooting, analytical thinking, and problem-solving abilities. • Ability to work collaboratively, communicate technical issues clearly, and learn new technologies. • Academic projects, internships, or personal projects involving cloud infrastructure, DevOps, system administration, or automation. • Familiarity with Infrastructure as Code tools such as Terraform or Ansible. • Exposure to CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD. • Basic understanding of incident management, root cause analysis, and Service Level Indicators (SLIs) and Service Level Objectives (SLOs). • Familiarity with cloud monitoring, infrastructure observability, and performance optimization. • Relevant cloud, Linux, or DevOps certifications are an advantage.

🏖️ Benefits

• Opportunity to contribute to an innovative, AI-powered technology company. • Hands-on exposure to cloud infrastructure, system reliability, and modern engineering practices. • Opportunities to develop practical skills in automation, monitoring, and infrastructure management. • Exposure to modern cloud platforms, DevOps tools, and observability technologies. • Collaborative environment that encourages technical learning, innovation, and knowledge sharing. • Opportunities for professional development and technical career growth. • Opportunity to contribute to improving application performance, system availability, and infrastructure reliability.

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