Senior Director, Platform

• Own engineering strategy and translate the Platform North Star into architectural priorities for human and AI-driven use cases
• Lead the transition from application-centric integration to a governed, contract-driven, API-first platform
• Partner with Architecture to establish a durable technical foundation supporting long-term integrity and near-term delivery
• Lead, coach, and grow the Platform Engineering organization
• Build a resilient team culture and drive platform-first alignment, adoption, and accountability across Engineering
• Operate the Platform as a customer-facing product for internal developers, external partners, and AI agents
• Establish API contracts supporting authentication, observability, usage metering, and scalable commercial models
• Build a governed, unified entry point for Miovision’s strategic capabilities using adoption data and developer feedback
• Build reusable, standardized capabilities with Data Science, integrating models and data products
• Review architecture, explore code, and prototype solutions alongside engineers
• Build technical foundations for AI-assisted development and establish AI-native practices
• Partner with Developer Operations on automation and tooling
• Guide teams through practical evolution of complex distributed-system architectures
• Establish reliability, observability, security, and operational readiness standards
• Build identity, authorization, auditability, guardrails, lifecycle, compatibility, and service-health standards into the platform
• Ensure the Platform scales with products, customers, and the engineering organization

Requirements

• 15+ years of software engineering experience with a heavy focus on platform engineering, distributed systems, and large-scale architecture
• Proven track record of successfully leading, scaling, and coaching senior engineering teams in highly complex, multi-product environments
• Deep technical expertise in API design, microservices, contract governance, and full API lifecycle management
• Hands-on experience executing platform strategies that change how engineering teams use AI to build, verify, and deliver software, including exposure to MCP and machine-readable interfaces
• Highly credible technical leadership with ability to explore code and prototype solutions
• Deep practical familiarity with cloud-native architectures, AWS, Kubernetes, modern CI/CD, and Java, Python, or Node.js
• Demonstrated experience driving major architectural or engineering operating-model shifts
• Profound understanding of reliability, telemetry, security, and operational excellence in large-scale production systems
• Excellent communication and influence skills for partnering with Product Management, Architecture, and C-suite stakeholders
• Experience monetizing a platform, scaling a marketplace, or building a third-party developer ecosystem is strongly preferred

Core Competencies

Demonstrates extensive expertise in platform engineering, API design, and distributed systems, with a strong focus on leading and scaling engineering teams. Proven ability to establish technical foundations for AI-assisted development and drive operational excellence in large-scale production environments.

Highest-signal resume keywords

• Platform Engineering Leadership
• API Design and Management
• Cloud-Native Architecture
• Distributed Systems Expertise
• Operational Excellence

Hard Skills

• API Design
• Microservices
• Platform Strategy Execution
• Cloud-Native Architecture
• Java
• Python
• Node.js
• Kubernetes
• CI/CD
• Contract Governance

Soft Skills

• Excellent Communication
• Influence Skills
• Coaching
• Team Building
• Collaboration

Industry Keywords

• Large-Scale Architecture
• Operational Readiness
• Marketplace Scaling
• Third-Party Developer Ecosystem
• AI-Driven Use Cases

Tools & Technologies

• AWS
• Automation Tools
• Telemetry Tools
• Observability Tools
• Security Standards