Cloud Platform Engineer

Responsibilities

• Write, review, and ship production-quality code (e.g., Python, Go) to build tools and automation that improve the accessibility of our platform and increase the productivity of our product teams
• Assist in the design and implementation of key shared infrastructure components to enhance the availability and scalability of our services
• Help build, integrate, and operate production-ready AI services and features within our cloud platforms - including LLM-powered and agentic workflows that automate operations and improve developer and employee experience
• Develop, maintain, and optimize IaC using Terraform or Ansible to automate cloud resource management and deployment across multi-cloud environments (AWS, Azure, GCP)
• Participate in on-call support as part of a rotation with other team members and contribute to incident response, root-cause analysis, and self-healing solutions that minimize downtime
• Support services throughout their lifecycle by contributing a cross-stack perspective on system design, self-service capabilities, scalability, automation, capacity, and reliability
• Implement security controls and Zero Trust practices, partnering with InfoSec teams to maintain a strong security posture and compliance across cloud environments
• Monitor cloud environments using tools such as Datadog, Grafana, and other monitoring tools; identify and resolve performance bottlenecks and optimize resource utilization for cost-efficiency

Requirements

• Basic BS/BA degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience
• 5+ years of experience in Cloud Engineering, DevOps, Platform, or Infrastructure Engineering roles
• Experience writing, reviewing, and testing production-quality code (Python and/or Go) - not just configuring tools
• Experience with LLMs, prompt engineering, and/or AI agent frameworks with the ability to apply AI to automate infrastructure and developer workflows and comfort using AI coding assistants to accelerate delivery
• Experience with scripting and automation (Python, Bash, and/or PowerShell) for infrastructure management
• Experience managing resources in a cloud environment (AWS, Azure, or GCP) and building immutable infrastructure with IaC tools such as Terraform or Ansible
• Experience with CI/CD pipelines and DevOps practices

Qualifications

• Hands-on experience building or operating LLM-powered or agentic services in production (e.g., RAG, model routing/gateways, orchestration frameworks)
• Experience with containerization and orchestration tools (Docker, Kubernetes) and microservices architecture
• Knowledge of Linux and/or Windows administration and optimization
• Experience with monitoring, telemetry, or AIOps tooling
• Understanding of network architecture and security best practices, including VPNs, firewalls, and load balancing in cloud environments
• Strong problem-solving skills and excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders

Skills

• Self-directed and self-motivated
• Capable of taking instruction and feedback
• Capable of working independently and collaboratively with product and platform engineering teams

Benefits

• Paid Time Off
• Paid Parental Leave
• Full Health Benefits Plans
• Retailer and Pension Programs
• Coaching, Online Courses, and Education Reimbursements
• Compassionate Care Leave
• Global Benefits

Pay

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $132,700.00 - $206,800.00 base salary.

Schedule

Job Designation: Hybrid

Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Application Instructions

Not applicable