Site Reliability Engineer (SRE)

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Written by AI from the job title and company, not by Invisible AI, so some details may not match this job. The employer's own page has the real description.

Overview

Invisible AI is seeking a highly skilled Site Reliability Engineer (SRE) to join our dynamic team. The successful candidate will be responsible for ensuring the reliability, availability, and performance of our AI-driven services. This role involves both proactive and reactive measures to monitor systems, automate processes, and resolve incidents, all while collaborating closely with software engineering to enhance our infrastructure and system performance. You will play a crucial role in building a robust infrastructure that supports invisible AI’s innovative products and services.

Job Responsibilities

• Design and implement scalable and highly available systems to support our AI solutions.
• Monitor system performance and troubleshoot issues to ensure uptime and reliability.
• Automate operational tasks to increase efficiency and reduce manual work.
• Collaborate with development teams to improve deployment pipelines and enhance product reliability.
• Conduct capacity planning and system performance analysis to prepare for growth.
• Develop and maintain documentation for systems architecture and processes.
• Respond to incidents and outages with a focus on root cause analysis and continuous improvement.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of experience in Site Reliability Engineering, DevOps, or related roles.
• Proficient in cloud platforms such as AWS, Google Cloud, or Azure.
• Strong experience with container orchestration tools like Kubernetes and Docker.
• Expertise in scripting languages such as Python, Bash, or Go.
• Solid understanding of infrastructure as code (IAC) tools like Terraform or CloudFormation.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent problem-solving skills and ability to work under pressure.

Technologies & Tools

The Site Reliability Engineer at Invisible AI will work with a variety of cutting-edge technologies and tools. You will utilize cloud-native platforms such as AWS and Google Cloud, implement container management solutions through Kubernetes and Docker, and automate processes using tools such as Terraform and Jenkins. Additionally, proficiency with monitoring systems and logging solutions such as Prometheus, Grafana, and the ELK stack will be required to ensure optimum system performance and reliability.

Ideal Candidates

The ideal candidate for this position is someone who possesses a strong technical foundation accompanied by excellent communication and collaboration skills. A proactive problem solver, they should be capable of working independently as well as within a team environment. The right individual is detail-oriented, remains calm under pressure, and has a passion for improving processes and systems. A continuous learner who stays updated on industry trends and emerging technologies will thrive in this role at Invisible AI.