Platform Engineering Manager

Huxley is a long-standing technology company with a modern, startup-like culture built on collaboration and innovation. They are seeking a Senior Manager of Platform Engineering to lead a team responsible for the company-wide deployment platform, DevOps enablement, and cloud infrastructure while driving operational excellence and fostering a culture of continuous improvement.

Responsibilities:

• Define and evolve the roadmap for the internal deployment and infrastructure platform, ensuring alignment with organizational needs
• Prioritize work to maximize impact on developer velocity, reliability, and scalability
• Treat the platform as an internal product with clear value, metrics, and adoption goals
• Provide architectural guidance across Kubernetes, AWS, CI/CD, observability, and automation
• Identify performance bottlenecks, system gaps, and inefficiencies — converting them into durable, scalable solutions
• Lead the introduction of chaos engineering into the organization to strengthen resilience
• Drive the adoption of modern AI-enhanced engineering tools (e.g., Cursor, CoDev, Claude) to accelerate workflows and operational intelligence
• Manage 7–8 direct reports, including Platform Engineers and a Developer, while providing oversight of the NOC function
• Serve as a hands-on line manager focused on coaching, growth, accountability, and empowerment
• Guide a distributed, potentially international team with clarity, communication, and purpose
• Foster a high-trust environment where engineers take ownership and drive proactive improvements
• Collaborate with stakeholders across operations, security, compliance, architecture, and leadership to ensure the platform meets evolving organizational needs
• Enhance observability, monitoring, and reliability practices across the platform stack
• Support on-call rotations by contributing expert guidance when needed

Requirements:

• 3–4+ years of experience managing engineering teams, with a track record of hands‑on technical leadership
• Strong background in AWS cloud environments
• Deep expertise with Kubernetes and infrastructure automation
• Working knowledge of ArgoCD, Helm, and modern CI/CD pipelines (Argo preferred)
• Experience with observability systems (specific stack flexible)
• Ability to diagnose complex system issues and drive structured problem‑solving
• Comfort with — and advocacy for — AI‑powered engineering workflows
• Excellent communication skills with the ability to bring technical clarity to complex topics
• Experience supporting distributed or international teams
• Bachelor's degree in computer science, Information Systems, or a related field