Staff Site Reliability Engineer

Summary

Join Invisible Technologies, a rapidly growing AI training and scaling partner, as a professional engineer. You will play a key role in ensuring the reliability and automation of our products, working closely with engineering and product teams. This position requires strong expertise in cloud architecture, Kubernetes, and infrastructure-as-code tools. You will be responsible for designing, deploying, and managing cloud-based infrastructure, optimizing performance, and building monitoring systems. Invisible offers competitive compensation, remote work flexibility, and equity, fostering a culture of ownership and innovation. We are committed to providing a dynamic and challenging work environment at the forefront of the AI revolution.

Requirements

• Strong understanding of cloud architecture including expertise with major cloud providers (GCP, AWS, Azure)
• Proficiency in a programming language and ability to write production code beyond just scripting
• Understand underlying networking and security considerations when developing the architecture of our deployment environments
• Strong understanding of Relational Databases (PostgreSQL) and be comfortable optimizing and advising the broader engineering team on optimization techniques to ensure the data layer of our deployed services run smoothly
• Strong understanding of authentication and authorization principles such as IAM, Security Groups, RBAC, etc
• Understanding of software engineering fundamentals, practices, and patterns with distributed cloud services
• Strong experience with production systems troubleshooting and optimization
• Experience with Kubernetes and be able to point to deployments they have architected or managed
• Strong understanding of the operating model of Kubernetes and be able to explain the requirements for designing deployments for new applications
• Experience with infrastructure as code tools such as Terraform or CloudFormation

Responsibilities

• Ensure the availability, performance, and scalability of production systems
• Deploy, configure, automate, and manage cloud-based infrastructure using tools like Kubernetes, Terraform, and Argo
• Identify and resolve system bottlenecks, optimizing for performance and cost efficiency across engineering teams
• Design, support, and manage deployment pipelines to enable world class delivery of applications
• Design, develop, and maintain comprehensive monitoring and observability systems using Datadog and Sentry
• Define Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to measure reliability and performance
• Design and implement automated solutions to reduce manual operational tasks
• Build tools for system provisioning, monitoring, deployment, and scaling
• Collaborate closely within engineering teams to improve application reliability, resilience, and maturity

Benefits

• Remote work around the world on a schedule that suits their lifestyle
• Partner Pay Model is fully transparent and designed for co-ownership
• Over 65% ownership is in the hands of our Partners, and we’re committed to buying back Partner shares every year according to our formal liquidity plan
• Bonuses and equity are included in offers above entry level
• Tier 1: $178,000 - $198,000
• Tier 2: $162,000 - $180,000