Senior Director, Platform

Stellenbeschreibung:

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.