DevEx Platform Engineer

Position Summary

Carlyle is hiring a Dev Ex Platform Engineer to join our Enterprise Technology team. In this role, you will partner with engineering teams, product owners, and other business stakeholders to build, operate, maintain, and troubleshoot the AI‑enabled developer platforms used across our global technology organization. As a Dev Ex Platform Engineer, you will play a pivotal role in enabling modern AI‑driven development across our engineering organization, supporting a development community of over 500 users.

In‑Office Requirement: 4 days per week.

• Operate and monitor AI‑enabled developer platforms in production: define SLOs and SLIs, build dashboards and alerting, and ensure reliability, performance, and availability.
• Drive troubleshooting and remediation of production issues, run blameless postmortems that turn incidents into lasting reliability improvements.
• Automate operational tasks to reduce toil; continuously tune capacity, cost, and performance as platform adoption grows.
• Design, build, and operate AI‑enabled developer platforms for over 500 engineers: build agentic frameworks, skills and tool registries, MCP gateways, and supporting infrastructure.
• Develop self‑service cloud development environments and internal developer portal capabilities (e.g., Coder) for minimal central involvement.
• Prototype and evaluate new AI development tools, agent runtimes, and orchestration patterns; incorporate the most useful capabilities into the platform.
• Partner with engineering teams 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; contribute documentation and reference implementations.

• Education & Certificates
  • Bachelor’s Degree required; 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, or AI/ML preferred.
• Professional Experience (5+ years) of relevant software or platform engineering, required.
  • 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.
  • Experience implementing and managing AI development tools such as Claude Code, Cursor, MCP servers, Coder, etc.
  • Operation of production services using SRE practices: defining and measuring SLOs/SLIs, managing error budgets, and reducing operational toil through automation.
  • Proficiency with observability and monitoring tooling (ELK, Datadog, Open Telemetry, or Cloud Watch). Ability to instrument, alert on, and troubleshoot distributed systems.
  • Strong hands‑on with AWS services that underpin modern developer platforms (EKS, ECS, Lambda, API Gateway, IAM, VPC, S3, and similar).
  • Strong proficiency with Git Hub Enterprise, including Git Hub Actions, reusable workflows, and platform‑level patterns such as Issue Ops 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, Type Script, Go, or similar) and comfort writing production code.
  • 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; 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.

• Base salary range for Washington, DC: $160,000 to $180,000.
• Comprehensive benefits package including retirement benefits, health insurance, life insurance, disability, paid time off, paid holidays, family planning benefits, and wellness programs.
• Eligibility to participate in an annual discretionary incentive program, the award of which is dependent on individual and organizational performance.