lightspeedhq is hiring a Cloud Engineer - Platform Engineering

We are seeking a Cloud Engineer to join our platform engineering team as an embedded member of development squads. This role focuses on enabling developer success through self-service infrastructure platforms, GitOps automation, and AI-powered tooling, while managing infrastructure supporting over 4,000 EKS workloads in AWS. The ideal candidate will act as a strategic partner to developers, building automation that reduces toil and leveraging AI to accelerate infrastructure and application delivery.

Responsibilities

• Build and maintain self-service infrastructure platforms that empower developers to provision and manage their own AWS resources
• Work embedded within development squads as their cloud infrastructure guide and strategic partner
• Design and implement reusable Terraform modules that enable consistent, scalable infrastructure patterns
• Develop AI-powered automation tools that increase team velocity and reduce manual operational overhead
• Create developer-friendly abstractions over complex infrastructure using GitOps workflows
• Implement GitOps practices using ArgoCD and Helm for automated deployments across EKS clusters
• Build and maintain modular Terraform infrastructure supporting EKS, RDS PostgreSQL, Aurora PostgreSQL, and core AWS services
• Leverage AI tools to accelerate Terraform module development, code review, and documentation
• Design Terraform module libraries that balance flexibility with guardrails
• Establish CI/CD pipelines that enable developers to safely deploy infrastructure changes
• Partner with developers to design cloud-native architectures optimized for AWS
• Guide infrastructure decisions within development squads, translating application requirements into scalable AWS solutions
• Collaborate with Cloud Architects and Security teams on infrastructure patterns and best practices
• Implement highly available, scalable, and self-healing systems
• Develop Python and Bash automation that eliminates repetitive operational tasks
• Strategically apply AI tools (code generation, infrastructure optimization) to accelerate delivery
• Build monitoring, logging, and observability solutions that provide developers insight into their infrastructure
• Continuously improve speed, efficiency, and scalability through automation-first thinking

Requirements

• 5+ years in Cloud/Platform Engineering/SRE/DevOps roles with production AWS experience
• Strong GitOps mindset with hands-on experience using ArgoCD, FluxCD, or similar tools
• Kubernetes expertise (4+ years) managing EKS clusters in production environments
• PostgreSQL experience with RDS PostgreSQL and Aurora PostgreSQL in production
• Experience using AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) for infrastructure code development
• Advanced Terraform skills including: Designing and implementing modular, reusable Terraform code
• Advanced Terraform skills including: Building Terraform module libraries
• Advanced Terraform skills including: Managing complex AWS infrastructure as code
• Advanced Terraform skills including: Understanding of Terraform best practices and state management
• Deep AWS knowledge: VPC, IAM, EKS, RDS, Aurora, S3, Security Groups, networking
• Proficient in Helm chart development and management
• Advanced Python scripting for automation and tooling (beyond basic scripts)
• Bash/Shell scripting proficiency
• CI/CD pipeline experience (GitLab CI preferred)
• Linux administration background (4+ years)
• Self-service platform thinking - instinct to build tools that enable others
• Cloud-native design mindset - architecting for AWS from the ground up
• Automation-first approach - proven track record of eliminating toil through tooling
• Systems thinking - understanding how components interact in complex distributed systems
• Exceptional communication with developers - ability to translate technical concepts and collaborate effectively
• Embedded squad experience - comfortable working directly within development teams as their infrastructure guide
• Excellent follow-through - strong task completion orientation and reliability
• Collaborative mindset - team-first approach, not siloed thinking
• Strategic guidance ability - can help developers make informed AWS infrastructure decisions
• Experience working in Agile development environments

Preferred Qualifications

• Experience building developer self-service platforms or internal developer platforms (IDP)
• Hands-on experience with AI coding assistants for Terraform/Python development, AI-driven infrastructure analysis, or LLM-based automation workflows
• AWS Well-Architected Framework knowledge
• Experience with observability platforms (Datadog, Prometheus, Grafana)
• Background in platform engineering or SRE disciplines
• Understanding of building and managing large-scale distributed systems
• Experience with messaging technologies (AmazonMQ, RabbitMQ, Kafka)
• Incident management and root cause analysis experience
• Prior experience as an embedded infrastructure engineer within development teams

Technical Stack

AWS, EKS, Terraform, ArgoCD, Helm, GitOps, RDS PostgreSQL, Aurora PostgreSQL, VPC, IAM, S3, Security Groups, Python, Bash, GitLab CI, Linux, Kubernetes, GitHub Copilot, Claude, Cursor, Datadog, Prometheus, Grafana, AmazonMQ, RabbitMQ, Kafka

Benefits

• Hybrid or Remote work (Utah preferred, open to other locations)
• Occasional availability during maintenance windows
• On-call rotation support for production infrastructure

Compensation

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Work Arrangement

Hybrid — Utah — Open to remote locations; hybrid or remote options available

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