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Site Reliability Engineer (Entry Level)

Patterned Learning Ai B9qwy5ki

New Jersey, United States
More Site Reliability Engineer jobs: Site Reliability Engineer jobsSite Reliability Engineer salary

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New Jersey, United States
Location
Remote
Work arrangement
Patterned Learning Ai B9qwy5ki
Employer
Site Reliability Engineer jobs
Category

Site Reliability Engineer (Entry Level) - Remote Job, US/Canada, 1+ Year Experience About us: Patterned Learning is an AI-powered platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

After applying for a position, please follow our page for further updates. About the Job As an SRE, you'll troubleshoot and resolve technical issues, optimize performance, and establish reliability-based release management processes. The SRE role is the practical implementation of DevOps principles, where speed and stability are carefully balanced, and the team acts as versatile problem solvers, filling gaps in knowledge and expertise to ensure efficient software operations.

You will: Apply SRE principles to maintain the reliability, availability, and performance of software systems. Automate deployment processes, configuration management, and CI/CD pipelines to streamline software development and delivery. Planned and assisted with the migration of Windows and Linux-based machines to containerized machines. Plan and Assist with the overall Disaster Recovery (DR) of the infrastructure and operations (InfraOps).

Manage and maintain software infrastructure, ensuring proper configuration, security, and scalability. Perform system administration tasks, monitor system performance, troubleshoot issues, and apply necessary fixes. Act as a versatile problem solver, filling gaps in team knowledge and expertise to ensure smooth and efficient software operations. Facilitate smooth team and project transitions, providing guidance, training, and support for development teams to manage their infrastructure independently.

Develop a reliability rating system to assess team and project performance, collecting and analyzing metrics to evaluate adherence to best practices. Respond quickly and effectively to critical incidents, conducting post-incident reviews to identify root causes and implement preventive measures. Develop and maintain automation tools and scripts to improve operational efficiency. Identify performance bottlenecks and implement optimizations to enhance system response times and resource utilization.

Stay up to date with the latest industry trends, technologies, and best practices related to SRE, DevOps, and infrastructure management. Collaborate effectively with cross-functional teams and communicate technical concepts and recommendations clearly to both technical and non-technical stakeholders. Implement a reliability-based release management process, allowing teams with higher reliability scores to perform quick and frequent releases.

Proactively identify potential issues and implement preventive measures to reduce incidents and outages. Implement observability practices to detect abnormal behaviors in the software and collect information for effective problem resolution. Set and monitor critical metrics to gain insights into system reliability, including latency, traffic, errors, and saturation levels. Establish Service-Level Objectives (SLOs) and measure Service-Level Indicators (SLIs) to assess the quality-of-service delivery and reliability.

Planned, participated, and managed on-call rotations to ensure prompt response to reported software issues. Utilize incident response tools to categorize the severity of reported cases and handle them promptly. Implement configuration management tools to automate software workflows and enhance team productivity. Projects you could work on: Implementing automated CI/CD pipelines for smooth software deployment.

Setting up and maintaining a reliable and scalable cloud infrastructure. Designing and implementing the migration of physical machines to virtual machines. Designing incident response procedures and post-incident review processes. Developing automation tools to streamline repetitive tasks and improve team productivity. Analyzing system performance metrics and optimizing resources for better efficiency.

Establishing observability practices to detect and resolve software issues proactively. Defining SLOs and SLIs to assess service quality and reliability across projects. Planning and managing on-call rotations to ensure timely issue resolution. Configuring and maintaining software workflows using configuration management tools. Special Benefits you will love: Flexible vacation paid unlimited holidays and paid sick days 401(k) with up to 2% employer match Health, vision, and dental insurance Why Patterned Learning AI?

By leveraging AI, Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This AI-powered assistance can help reduce coding errors, improve productivity, and accelerate the development process. The use of AI in pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks.

These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.

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