Platform Engineer Backstage Jobs (NOW HIRING)

Job Summary:
The Carlyle Group is a global investment firm seeking an AI Platform Engineer to join their Enterprise Technology team. In this role, you will design, build, and maintain AI-enabled developer platforms, integrating AI tooling into engineering workflows to enhance productivity and streamline software delivery.
Responsibilities:
• Design, build, and operate AI-enabled developer platforms serving a development community of over 500 engineers across the technology organization.
• Integrate AI coding assistants and agent runtimes (Claude Code, Cursor, Amazon Bedrock AgentCore, and similar) into developer workflows, including the harnesses, hooks, and reference patterns required to use them effectively in an enterprise setting.
• Build and maintain agentic frameworks, skills and tool registries, MCP gateways, and the supporting infrastructure that allows engineering teams to safely and effectively use AI across the software delivery lifecycle.
• Develop self-service cloud development environments and internal developer portal capabilities (using platforms such as Coder) that let application teams provision, configure, and operate their environments with minimal central involvement.
• Implement paved-road developer experiences across source control, CI/CD, environments, observability, security, and release management, with AI capabilities integrated where they add value.
• Prototype and evaluate new AI development tools, agent runtimes, and orchestration patterns, and incorporate the most useful capabilities into the platform.
• Partner directly with engineering teams across the firm to drive adoption of AI-enabled development practices and translate user feedback into platform improvements.
• Collaborate with security, networking, cloud operations, and architecture teams to ensure platform capabilities are secure, compliant, and well-integrated with existing infrastructure, and contribute to internal documentation and reference implementations that help engineers get the most out of AI-driven development.
Qualifications:
Required:
• Bachelor’s Degree required
• 5+ years of relevant software or platform engineering experience.
• Hands-on experience integrating AI platforms and tooling into enterprise engineering workflows, including agent runtimes, AI coding assistants, MCP-based integrations, and the supporting infrastructure required to operate them safely at scale.
• Practical experience implementing and managing AI development tools such as: Claude Code, Cursor, MCP servers, Coder.
• Demonstrated experience building or operating internal developer platforms (IDPs), self-service developer environments, software factories, or internal developer portals (Backstage or similar).
• Strong hands-on experience with AWS, including the services that underpin modern developer platforms (EKS, ECS, Lambda, API Gateway, IAM, VPC, S3, and similar).
• Strong proficiency with GitHub Enterprise, including GitHub Actions, reusable workflows, and platform-level patterns such as IssueOps and workflow orchestration.
• Strong proficiency with infrastructure as code (Terraform) and modern CI/CD practices for both application and platform delivery.
• Strong proficiency in at least one general-purpose programming language (Python, TypeScript, Go, or similar) and comfort writing production code.
• Demonstrated ability to translate platform investments into measurable developer productivity and adoption outcomes.
• Strong understanding of cloud security principles, identity and access management, and secure-by-default platform patterns.
• Commitment to ongoing learning as AI and developer tooling continue to evolve.
• Strong problem-solving skills, with a track record of troubleshooting distributed systems and developer tooling issues.
• Strong interpersonal and communication skills, with the ability to explain complex topics and present to both technical and non-technical audiences.
• Proven collaboration skills across multiple technology and project teams to deliver effective solutions.
• Ability to communicate clearly in presentations and written documentation.
• Ability to prioritize and deliver across competing demands.
Preferred:
• Concentration in Computer Science, Software Engineering, Information Technology, or similar discipline, strongly preferred
• AWS Certified Solutions Architect, AWS Certified Developer, or similar cloud certifications preferred
• Industry-standard certifications in platform engineering, Kubernetes, GitHub, or AI/ML preferred
Company:
The Carlyle Group is a private equity firm that invests in shareholders, people, and communities. Founded in 1987, the company is headquartered in Washington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.