Staff SRE Engineer

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.

What’s In It For You

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: $178,000 - $198,000

• Tier 2: $162,000 - $180,000

For more information on which locations are included in each of our geographic pay tiers, please visit invisible.co/compensation-and-pay-tiers. However, we recommend confirming the specific tier for your location with your recruiter. 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.