As a Site Reliability Engineer, you will build and maintain scalable infrastructure, develop automation solutions, deploy applications, manage observability, and optimize Linux systems while collaborating with engineering teams.
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:
- 8+ years of experience in Site Reliability Engineering and building/managing infrastructure at scale, particularly on edge devices.
- Strong experience with Python scripting (able to read and write code fluently).
- Comfortable working with Linux systems, Docker, and infrastructure-as-code tools like Terraform and Ansible.
- Hands-on experience with observability stacks (e.g., Prometheus, Grafana).
- Deep understanding of SLAs/SLOs/SLIs and how to operationalize them.
- Strong systems thinking: understands how distributed systems work and how to make them resilient.
- Experience with CI/CD pipelines, incident management, and system hardening.
- 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.
- 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.
Top Skills
Ansible
AWS
Azure
Docker
GCP
Linux
Prometheus
Python
Terraform
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Senior Site Reliability Engineer, you will maintain and enhance cloud infrastructure reliability and performance, automate tasks, and improve system design to minimize incidents.
Top Skills:
AnsibleAWSAzureBashGCPGitlab Ci/CdGoGrafanaJavaScriptKubernetesLinuxMariadbMySQLOpentelemetryPostgresPrometheusPythonTerraform
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
The Senior Site Reliability Engineer collaborates on building cloud-native infrastructure, improves monitoring, and ensures high uptime, with substantial AWS and Kubernetes expertise.
Top Skills:
AWSBashGoHelmKubernetesPythonRubyTerraform
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves designing and implementing infrastructure for AI workloads, improving Site Reliability Engineering practices, and mentoring team members.
Top Skills:
AnsibleDockerGitlab CiGoHelmJ2EeJavaKubernetesLinuxPrometheusPythonSplunk
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
