Director of Engineering Platforms

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Sembi

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201 - 500 Mitarbeiter

Gegründet 2023

☁️ SaaS

🔐 Sicherheit

🤝 B2B

SaaS • Security • B2B

Sembi ist ein B2B-SaaS-Anbieter, der ein einheitliches Portfolio von Softwarequalitäts- und Sicherheitstools bereitstellt. Es bietet Testmanagement, Automatisierung, Berichterstattung und AI-gesteuerte Testoptimierung (TestRail, Xray, Testmo, Ranorex, Xporter, DesignWise) sowie Lösungen für Anwendungssicherheit und Code-Analyse (PreEmptive, Kiuwan). Sembi legt Wert auf Benutzerfreundlichkeit, Skalierbarkeit und Support in Unternehmensqualität, um Entwicklungs- und QA-Teams bei der Verbesserung der Qualität, Stärkung der Sicherheit und Beschleunigung der Produktlieferung zu unterstützen.

Beschreibung

• Define and lead the Engineering Platforms org — structure the org, direct report team, and establish ownership across defined pillars • Drive the platform shift — help transition Sembi from centralized DevOps to a platform engineering model where the road and guardrails are built for internal teams own their services end-to-end • Build the data and AI infrastructure layer — canonical data strategy across 8 products; AI platform foundations (model gateway, eval framework, training pipeline) that power Sembi's product AI roadmap • Govern cloud and infra — multi-brand cloud strategy, cost optimization, security posture, and vendor relationships • Partner with brand engineering leads — your platforms are their enabler; you'll build with them through innersourcing while reducing cognitive load so they can scale faster • Translate technical complexity into business outcomes — communicate platform strategy and tradeoffs clearly to the VP of Engineering, ELT, and board where relevant

🎯 Anforderungen

• Track record and passion for collaboratively building and scaling platforms used by development teams • Ability to think of platforms as products and convincingly connect the work to human value and business outcomes • Experience leading and growing engineering teams of employees, contractors, and agents • Strong understanding of cloud infrastructure, delivery patterns, observability, data infrastructure, and AI/ML concepts • Able to cast compelling AI vision for others while leading by example with personal usage • Tenacity for building high value services • Clear communication and ability to work with a distributed workforce • Nice to have: Experience with internal developer platforms (Backstage, custom IDP, or equivalent) • Development/engineering background • Experience in multi-product or multi-brand business environments • Familiarity with AI infrastructure patterns (model gateways, RAG pipelines, eval frameworks, MCP) • Not required but noted: Specific tooling we use: AWS, GCP, Azure, GitHub, Bitbucket, ArgoCD, Netbird, OTEL, Grafana, Prometheus, MongoDB

🏖️ Vorteile

• Greenfield scope — you'll define the function, not inherit someone else's vision • Direct impact on how 8 product engineering teams build and ship AI-forward environment — Sembi is actively building AI into its products and its engineering workflow • Reporting line with access and visibility — direct to VP of Engineering with active ELT support for the platform direction • A leadership team that believes platform investment is a strategic multiplier, not overhead