Senior SRE Engineer
United States - Remote
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 #2 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 Product, and you’re a critical stakeholder because you know what can be built and what will work. You will focus your energy on one of our core products and act as an owner. 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)
- 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. With over 65% ownership already in the hands of our partners, we are committed to achieving 100% partner ownership. Moreover, our leadership team is legally obligated to buy back partner shares according to a formal liquidity plan. This ensures a clear path for those who choose to sell their stake in the company.
Compensation:
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
- Tier 1: $150,000 - $176,000
- Tier 2: $136,000 - $160,000
- Tier 3: $122,000 - $144,000
An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.
Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
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 is a remote-first organization and hires new team members in countries around the world. Although many of our roles are fully remote, 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.
AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.
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 accommodation@invisible.email.
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.
ApplyJob Profile
Fully remote Location-based eligibility requirements Remote
Benefits/PerksBonuses Competitive pay Equity Exceptional benefits Flexible schedule Fully remote Growth Opportunities Partner ownership Profit Sharing Remote-first company Remote work
Tasks- Automate operational tasks
- Build provisioning and scaling tools
- Collaborate with engineering teams
- Define SLAs and SLIs
- Deploy and manage cloud infrastructure
- Design deployment pipelines
- Develop monitoring systems
- Ensure system availability and performance
- Identify and resolve bottlenecks
- Leadership
Accessibility AI AI models AI Training Argo Authentication Authorization AWS Azure Cloud Architecture CloudFormation Datadog Design Distributed Cloud Services Engineering GCP IAM Infrastructure Infrastructure as Code Kubernetes Leadership Monitoring Networking Observability Optimization Pay equity PostgreSQL RBAC Recruiting Recruitment Relational databases Reliability Scalability Security Sentry Software Engineering SRE Talent Acquisition Technology Terraform Training Troubleshooting
Experience5 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9