5+ years of experience in Site Reliability Engineering and managing infrastructure at scale., Strong software development experience in programming languages like Python, Go, or Java., Proficiency in Docker, Linux systems, and scripting languages such as Bash and Python., Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience..
Key responsibilities:
Design, build, and maintain scalable and resilient infrastructure on the edge.
Develop automation and infrastructure-as-code solutions using Terraform, Ansible, and scripting languages.
Deploy and manage containerized applications using Docker and ensure system observability with monitoring systems like Prometheus.
Collaborate with software engineers and security teams to improve system performance and implement robust security practices.
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I’m Ben, and I’m building the job board I wish existed when I was looking for a remote front end developer job.Looking at job boards can be exhausting and feel unproductive, especially when you have to comb through hundreds of jobs that don’t relate to what you’re looking for.When I was looking for a job back in 2017, I grew tired of filtering through back end and full stack developer jobs. And I was only interested in fully remote work. But there wasn’t a one stop shop for finding remote front end jobs.I decided to create Front End Remote Jobs to be a curated job site for front end developers. I comb through job listings looking for jobs that are specifically front end and only remote. For now, I’m sticking to full time jobs as well.I send a weekly newsletter on Friday mornings of all the jobs posted that week.I also want to help front end developers make the transition to remote work, so I’ll be publishing resources along those lines here as well, like The Cover Letter that Got Me a Remote Front End Developer Job.Eventually, I’ll create a space for companies to feature their job listings and I have some other things in the works as well.If you want to get in touch to give some feedback, discuss a partnership opportunity, or talk about remote work, email me at hi@frontendremotejobs.com.Good luck on your job search!
At Invisible AI, we are building the future of computer vision. Today, our core focus is on developing an end-to-end platform that can digitize manufacturing operations. We deploy edge AI cameras to digitize all steps of manual assembly work which helps people-driven manufacturing be accurate, reliable, and safe. Coming from the world of self-driving cars, the founders of Invisible AI have years of experience in building and deploying large-scale AI & Machine Learning pipelines. Join us and help build a company that will deliver the endless possibilities of computer vision to real-world customers!
As a Site Reliability Engineer, you will build the technology to enable our platform to deploy, run, and monitor Invisible AI’s software at scale across tens of independent deployments and thousands of devices. The SRE works closely with all other engineering teams and owns internal tools to enable faster development and deployment, like secure ephemeral debug environments, streamlined access controls, CI/CD systems, and a custom in-house device management platform for device configuration and software releases.
Responsibilities:
Design, build, and maintain scalable and resilient infrastructure on the edge.
Develop automation and infrastructure-as-code solutions using Terraform, Ansible, and scripting languages (Python, Bash).
Deploy and manage containerized applications using Docker and related technologies.
Ensure system observability by building and optimizing monitoring systems, particularly using Prometheus.
Troubleshoot and optimize Linux-based systems (e.g., Red Hat, CentOS, Ubuntu).
Collaborate with security teams to implement robust security practices and ensure compliance with best practices.
Work closely with software engineers to improve system performance, reliability, and deployment pipelines.
Support and maintain networking infrastructure, including troubleshooting protocols and configurations.
Manage cloud and on-premise infrastructure, with a focus on automation and scalability.
Contribute to incident response, postmortems, and process improvements.
Requirements:
5+ years of experience in Site Reliability Engineering and building/managing infrastructure at scale, particularly on the edge.
Strong software development experience in one or more programming languages (e.g., Python, Go, Java).
Proficiency in Python, Docker, Linux systems, and scripting (Bash, Python).
Strong expertise with infrastructure automation tools (Terraform, Ansible).
Experience managing observability and monitoring systems, particularly Prometheus.
Deep understanding of networking concepts and protocols.
Familiarity with cloud platforms (AWS, Azure, Google Cloud) is a plus.
Experience with Windows Services/VMs is a plus.
Excellent problem-solving skills, with attention to detail.
Strong communication and collaboration skills to work across teams.
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
Our compensation package plays a big part in how we value your impact on our mission. Our base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The estimated base salary guideline range for this role is between $110,000-$170,000 and may be modified. This will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. In addition to base salary, your compensation package will include additional components such as equity, sales incentive pay (for sales roles), and benefits. Invisible AI is an equal-opportunity employer. We do not discriminate based on age, ethnicity, gender, nationality, religious belief, or sexual orientation.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.