Staff Cloud Platform Engineer — AWS, Terraform, AI

We are seeking an experienced and highly influential Staff Cloud Platform Engineer to join our IT organization. This role sits one level above Senior and is designed for a seasoned technical leader who drives cloud platform strategy, defines standards, and leads complex, cross-team initiatives. As a Staff Engineer, you will architect, build, and evolve scalable, secure, and highly available AWS platforms that underpin the company’s corporate infrastructure. You will operate with a high degree of autonomy, influence technical direction across teams, mentor engineers, and partner closely with DevOps, security, and application teams to ensure reliable, efficient, and well-governed cloud environments.

Key Responsibilities

• Architect, design, and lead the implementation of scalable, highly available, and secure AWS cloud platforms.
• Define, implement, and maintain infrastructure using Infrastructure as Code (IaC) methodologies, with a strong emphasis on Terraform.
• Design, maintain, and evolve Terraform modules, standards, and best practices used across the organization.
• Manage and scale multi-account AWS environments using AWS Account Factory for Terraform (AFT).
• Design and operate event-driven and serverless architectures to support modern application and platform needs.
• Build and maintain automation and internal tooling using Python, JavaScript, Bash/Shell, and IaC.
• Define and champion Git best practices, including branching strategies, pull request workflows, code reviews, and version control standards (GitHub preferred).
• Design, implement, and maintain CI/CD pipelines, ensuring fast, reliable, secure, and repeatable deployments.
• Embed code quality, testing, compliance, and security controls into build and deployment workflows.
• Evaluate, integrate, and operationalize managed AI and generative AI services within cloud platforms, ensuring security, scalability, and compliance.
• Leverage AI-assisted tools to improve infrastructure automation, reliability, incident response, and developer productivity.
• Define standards, patterns, and guardrails for the responsible use of AI services across cloud infrastructure and CI/CD pipelines.
• Partner with security, legal, DevOps, and application teams to ensure safe, compliant, and cost-effective adoption of AI capabilities.
• Lead incident response, conduct root cause analysis, and drive long-term reliability and resilience improvements.
• Influence cloud architecture, standards, and policies across teams and business functions.
• Provide technical leadership through mentorship, coaching, and architectural guidance to engineers across the organization.
• Lead major and complex initiatives, delegating work as appropriate, and reviewing deliverables to ensure alignment with organizational standards.
• Stay current with emerging cloud technologies and industry best practices, applying them pragmatically to improve platform capabilities.
• Participate in an on-call rotation to support critical infrastructure.
• Perform other duties as assigned.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent practical experience).
• Typically, 8+ years of related experience in cloud infrastructure, platform engineering, or DevOps roles.
• Advanced, hands-on expertise with AWS, including compute, networking (VPCs), serverless technologies, and messaging services (e.g., SQS, SNS).
• Deep experience with Infrastructure as Code, particularly Terraform; familiarity with AWS CloudFormation.
• Strong programming and scripting skills in Python, JavaScript, and Bash/Shell.
• Proven experience designing and maintaining CI/CD pipelines, preferably using GitHub Actions and AWS-native tooling.
• Strong understanding of cloud security, networking, system design, and operational best practices.
• Demonstrated ability to solve complex technical problems independently and lead initiatives with broad organizational impact.
• Excellent communication skills, with the ability to influence and collaborate across teams and functions.

Preferred Qualifications

• Cloud certifications such as AWS Certified Solutions Architect (Professional) or equivalent.
• Experience operating and supporting large-scale, multi-account AWS environments.
• Experience defining platform standards used by multiple teams.
• Familiarity with integrating managed AI or generative AI services in cloud environments.
• Experience evaluating emerging technologies and applying them pragmatically to production platforms.
• Prior experience mentoring engineers or acting as a technical lead on complex initiatives.

Additional Information

• Working Hours: 9:00 AM – 6:00 PM GMT (first shift), supporting global platform operations.
• On-Call Support: Participation in a shared, rotational on-call schedule is required.