Invisible Technologies Logo

Invisible Technologies

Senior SRE Engineer

Reposted 2 Days Ago
Remote
Hiring Remotely in United States
122K-176K
Senior level
Remote
Hiring Remotely in United States
122K-176K
Senior level
As a Senior SRE Engineer, you will ensure the reliability, performance, and scalability of production systems, managing cloud-based infrastructure and optimizing deployment processes.
The summary above was generated by AI
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 [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. 

Top Skills

Argo
Datadog
Kubernetes
Postgres
Sentry
Terraform

Similar Jobs

4 Days Ago
Remote
USA
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Site Reliability Engineer, you will deploy and manage AI tools, ensure system reliability, and collaborate across teams to optimize AI infrastructure.
Top Skills: AnsibleAWSBashGCPGoJavaPythonTerraform
6 Days Ago
Remote or Hybrid
Santa Clara, CA, USA
198K-346K Annually
Senior level
198K-346K Annually
Senior level
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, coding, mentoring, and collaborating with teams on AI projects.
Top Skills: AnsibleGitlab CiGoHelmJ2EeJavaKubernetesNvidia GpusPrometheusPythonSplunk
11 Days Ago
Remote
United States
161K-180K Annually
Senior level
161K-180K Annually
Senior level
Consumer Web • Digital Media • Information Technology • News + Entertainment • Social Media
The Senior Site Reliability Engineer will optimize and enhance infrastructure performance, analyze system stability, and develop automation tools while supporting the company’s growth in digital innovation.
Top Skills: AnsibleBashCC++DjangoDockerFlaskGoJavaKubernetesLaravelLinuxMvcOrmPythonRustTerraform

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account