Staff Cloud Platform Engineer

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.