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Staff Cloud Engineer
Grindr · United States
About The Role
Join Grindr, the leading LGBTQ+ dating app, as a Staff Cloud Engineer. In this high-ownership role, you will shape the technical direction of Grindr's cloud infrastructure platform, partner with engineering teams, and contribute to cloud architecture decisions. You will also have access to a range of benefits, including 100% employer-paid medical, dental, and vision premiums, 401k matching, flexible PTO, and equity for all employees.
- Architect, document, and evolve Grindr’s cloud infrastructure platform across AWS, Kubernetes, and Terraform.
- Design and implement scalable infrastructure solutions that improve developer velocity, platform reliability, and operational efficiency.
- Lead capacity planning and performance optimization for high-volume, globally distributed systems running on EKS.
- You May Thrive in this Role if You:
- Actively integrates AI tools into engineering workflows for automation, observability, operational analysis, or developer productivity
- 8+ years of engineering experience, including 5+ years focused on cloud infrastructure in production environments
- Are comfortable influencing technical direction and collaborating across teams on complex infrastructure initiatives
- Are AI-native or rapidly becoming so — you actively use AI tools in your workflow and continuously explore new operational and engineering use cases
- 5+ years working with infrastructure tooling including Terraform, Helm, Docker, CI/CD systems, and GitOps-style workflows
- Think in platforms and systems, not tickets — you build reusable solutions that scale across teams
- Have successfully driven infrastructure standards adoption across multiple engineering teams
- Proven ability to establish infrastructure standards and drive adoption across engineering organizations
- Have experience supporting SOX compliance in a public company environment and understand infrastructure governance and control requirements
- Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking
- Treat reliability, security, and scalability as foundational design principles
- Enjoy balancing hands-on technical execution with long-term platform strategy
- Experience designing and operating distributed systems with strong understanding of scalability, resiliency, and infrastructure performance characteristics
- Strong hands-on experience operating Kubernetes platforms in production at scale
- Strong infrastructure automation mindset with experience reducing operational overhead through tooling and platform improvements
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