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Director of Engineering Platforms
Location
United States
Posted
2 days ago
Salary
0
Seniority
Lead
Job Description
Director of Engineering Platforms
Sembi
• 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
Job Requirements
- 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
Benefits
- 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
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