The ad says“Are AI-native or rapidly becoming so — you actively use AI tools in your workflow and continuously explore new operational and engineering use cases”
The ad says“Architect, document, and evolve Grindr’s cloud infrastructure platform across AWS, Kubernetes, and Terraform — establishing the standards and patterns engineering teams build on”
The ad says“5+ years working with infrastructure tooling including Terraform, Helm, Docker, CI/CD systems, and GitOps-style workflows”
The ad says“5+ years working with infrastructure tooling including Terraform, Helm, Docker, CI/CD systems, and GitOps-style workflows”
The ad says“Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking”
The ad says“Lead capacity planning and performance optimization for high-volume, globally distributed systems running on EKS”
The ad says“Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking”
The ad says“5+ years working with infrastructure tooling including Terraform, Helm, Docker, CI/CD systems, and GitOps-style workflows”
The ad says“5+ years working with infrastructure tooling including Terraform, Helm, Docker, CI/CD systems, and GitOps-style workflows”
The ad says“Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking”
The ad says“Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking”
The ad says“Architect, document, and evolve Grindr’s cloud infrastructure platform across AWS, Kubernetes, and Terraform — establishing the standards and patterns engineering teams build on”
The ad says“Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking”
The ad says“Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking”
The ad says“Have experience supporting SOX compliance in a public company environment and understand infrastructure governance and control requirements”
The ad says“Architect, document, and evolve Grindr’s cloud infrastructure platform across AWS, Kubernetes, and Terraform — establishing the standards and patterns engineering teams build on”
The ad says“Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking”
The Cloud Engineering team builds and operates the infrastructure platform that powers Grindr globally. We own AWS architecture, Kubernetes platforms, infrastructure automation, developer enablement, and the cloud standards that product engineering teams build on every day
As a Staff Cloud Engineer, you’ll help shape the technical direction of Grindr’s cloud infrastructure platform. You’ll partner closely with engineering teams across the company to define scalable infrastructure patterns, improve developer experience, and evolve the systems that support millions of users globally
This is a high-ownership role at a pivotal moment. As Grindr accelerates its AI-native roadmap, infrastructure becomes a strategic advantage — enabling rapid experimentation, global scale, and high-availability systems that serve millions of users every day
Architect, document, and evolve Grindr’s cloud infrastructure platform across AWS, Kubernetes, and Terraform — establishing the standards and patterns engineering teams build on
Design and implement scalable infrastructure solutions that improve developer velocity, platform reliability, and operational efficiency across multiple AWS environments
Lead capacity planning and performance optimization for high-volume, globally distributed systems running on EKS
Drive infrastructure automation initiatives across provisioning, deployments, observability, security, and platform operations
Partner closely with product engineering teams to design infrastructure patterns for new microservices and platform capabilities
Contribute to cloud architecture decisions, infrastructure best practices, and operational readiness initiatives across the engineering organization
Mentor engineers on infrastructure design, Kubernetes adoption, and cloud-native development practices
Evaluate and integrate emerging AI-driven infrastructure tooling and operational workflows into the platform engineering ecosystem
Benefits
100% employer-paid medical, dental, and vision premiums for employees
401k Matching (up to 6%)
Flexible PTO, sick-time, holidays, and two company wide shut-down weeks + an annual travel and leisure stipend
Equity for all employees
Monthly lifestyle stipend for food and wellness as well as fully catered onsite breakfast, lunch, and snacks
Gender Affirmation Fund for transgender and gender non-conforming employees
Queer-inclusive health benefits including LGBTQ consultative healthcare and expanded HRT shipped directly to employees in eligible states
Monthly commuter stipend to get you to and from the office on in-person collaboration days
Community projects and charitable giving stipend to support LGBTQ+ non-profit organizations alongside Grindr for Equality
Preferred experience
Have experience supporting SOX compliance in a public company environment and understand infrastructure governance and control requirements
Are AI-native or rapidly becoming so — you actively use AI tools in your workflow and continuously explore new operational and engineering use cases
Treat reliability, security, and scalability as foundational design principles
Strong infrastructure automation mindset with experience reducing operational overhead through tooling and platform improvements
Have successfully driven infrastructure standards adoption across multiple engineering teams
Proven ability to establish infrastructure standards and drive adoption across engineering organizations
Deep AWS expertise across services such as EKS, EC2, IAM, RDS, ElastiCache, Route53, Kafka/MSK, and VPC networking
Enjoy balancing hands-on technical execution with long-term platform strategy
Strong hands-on experience operating Kubernetes platforms in production at scale
Experience designing and operating distributed systems with strong understanding of scalability, resiliency, and infrastructure performance characteristics
Are comfortable influencing technical direction and collaborating across teams on complex infrastructure initiatives
8+ years of engineering experience, including 5+ years focused on cloud infrastructure in production environments
You May Thrive in this Role if You:
5+ years working with infrastructure tooling including Terraform, Helm, Docker, CI/CD systems, and GitOps-style workflows
Actively integrates AI tools into engineering workflows for automation, observability, operational analysis, or developer productivity
Think in platforms and systems, not tickets — you build reusable solutions that scale across teams
