Senior SRE 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 availability, performance, and scalability of production systems for one of our core products. This position requires a strong understanding of cloud architecture, relational databases, and Kubernetes. You will be responsible for designing, developing, and maintaining various systems, including deployment pipelines and monitoring systems. The company offers competitive compensation, remote work options, and a unique partner ownership model. Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings.

Requirements

• 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

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

• 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
• 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