Staff Platform Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Eliminate operational toil through automation and self-service by building reusable modules and tooling that allow engineering teams to provision services, manage deployments, and resolve issues independently.
• Maintain platform health and delivery outcomes, including ownership of incident response and participation in on-call operations.
• Advance AI-native development practices by applying modern AI-powered workflows and automation to routine platform maintenance and engineering tasks.
• Optimize cloud infrastructure costs across AWS and relevant third-party providers.
• Architect and advise engineering teams on infrastructure for novel systems, including machine learning workflows, real-time event processing, and video streaming.
• Own and continuously evolve the Terraform estate at scale, including shared modules, state management, versioning, and infrastructure migrations.
• Build and maintain internal developer platform capabilities and delivery automation using GitHub Actions, ECS, Lambda deployment patterns, and AI-powered agents.
• Own and operate core AWS platform services, including VPC, Transit Gateway, Route 53, CloudFront, IAM, SSO, and Secrets Manager.
• Drive reliability and operational excellence through Datadog monitoring, incident response, and participation in an on-call rotation.
• Provide technical leadership through RFCs, architecture and design reviews, code reviews, and cross-team technical influence.
• Mentor engineers and contribute to improving engineering practices without direct people-management responsibility.

Requirements

• 8+ years of experience in DevOps, platform engineering, Site Reliability Engineering, or a closely related discipline.
• Deep expertise with AWS, Terraform, ECS/Fargate, and CI/CD pipelines.
• Strong TypeScript skills with the ability to develop production-quality software and internal tooling.
• Solid understanding of AWS IAM, SSO, and observability technologies.
• Experience building or improving internal developer platforms and developer experience is preferred.
• Proficiency in Python is preferred.
• Experience building LLM-powered applications or AI agents is preferred.
• Experience implementing infrastructure and monitoring practices using Datadog-as-code is preferred.
• Familiarity with AWS Organizations, policy as code, and cloud security posture practices is preferred.
• Strong architectural thinking and the ability to make sound technical decisions across reliability, scalability, security, and cost.
• Ability to communicate technical concepts clearly and influence teams without direct authority.
• Strong collaboration, mentorship, and cross-functional communication skills.
• Comfortable balancing hands-on engineering work with architecture, technical planning, and mentoring.
• Must be authorized to work in the United States without employment sponsorship.

Benefits

• Annual salary range of $155,000–$190,000 USD.
• Fully remote position within the United States.
• Approximately 75% hands-on engineering work and 25% architecture and mentorship.
• Opportunity to work extensively with AWS, Terraform, ECS/Fargate, GitHub Actions, TypeScript, and modern platform engineering technologies.
• Opportunity to develop AI-powered agents and automation for infrastructure and developer workflows.
• High-impact ownership of core cloud infrastructure, internal developer platforms, and production reliability.
• Opportunity to architect infrastructure for machine learning, real-time event, and video streaming workloads.
• Technical leadership and mentorship opportunities without requiring direct people management.
• Opportunity to influence platform architecture, engineering standards, and developer experience.
• Hiring may be considered in select US states, subject to role availability and applicable requirements.