Staff SRE Engineer

About Invisible

Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #3 spot on the Inc. 5000 in 2024, closing the year on $134m revenue.

About The Role

We are always striving to build the right thing. You are a key partner for the Engineering and Product teams. You will focus your energy on driving reliability and automation for our products. The ideal candidate has learned from experience that technical decisions have far-reaching consequences. As an experienced professional engineer, you are always mindful to avoid technical debt and waste.

 

What You’ll Do

• 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 

What We Need

• 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

What’s In It For You

We believe in recognizing exceptional work with exceptional benefits. That’s why we empower our Partners to work remotely around the world on a schedule that suits their lifestyle. Our Partner Pay Model is fully transparent and designed for co-ownership, recognizing that professionals have unique needs. We balance profitability and growth by reinvesting annual profits to fuel expansion and fairly compensate our Partners. 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. This ensures liquidity for those who choose to sell their stake in the company.

 

Compensation

Tier 1 Location (San Fran, New York, Seattle) $208000K - $231000K plus bonus and participation in company equity

Tier 2 Location (Austin, Boston, Washington, Los Angles) $189000 - $210000K plus bonus and participation in company equity

 

What It’s Like to Work at Invisible:
At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines:
Invisible hires new team members in countries around the world. All our roles are remote. However, some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. 

Accessibility Statement:
We’re committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at [email protected]. 

Equal Opportunity Statement:
We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.