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Engineering Lead – AI & Developer Platform

in 10115, Berlin, Berlin, Deutschland
Unternehmen: United States Digital Space LLC
Vollzeit position
Verfasst am 2026-07-07
Berufliche Spezialisierung:
  • Software Entwicklung
    Software-Architekt, Backend Entwicklung, Cloud-Ingenieur - Software, DevOps Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 80000 - 100000 EUR pro Jahr EUR 80000.00 100000.00 YEAR
Stellenbeschreibung

Who we are.

At Bluehost, we believe all small businesses deserve the opportunity to succeed online. Our mission is to give small businesses the confidence to think big. We're the all-in-one platform for small businesses to grow online with powerful simplicity, premium performance, smart tools and human support.

We’re looking for a strong engineering lead to drive next-generation AI and Developer Platform initiatives across multiple brands and product ecosystems. This role is ideal for someone who can operate hands-on at the architecture level while also leading platform thinking, developer experience improvements, AI integrations, automation, observability, and scalable engineering practices.

The person will work closely with product, infrastructure, platform, and application engineering teams to modernize internal systems and accelerate AI adoption across customer-facing and internal platforms.

What you’ll do & how you’ll make your mark.
  • Lead architecture and implementation of AI-powered platform initiatives
  • Build scalable developer platform capabilities for engineering teams
  • Drive AI integrations across customer flows, internal tools, automation, and support systems
  • Improve engineering productivity through tooling, workflows, CI/CD, observability, and automation
  • Define long‑term technical direction for platform modernization
  • Partner with Infra, SRE, Security, and Product teams for platform reliability and scalability
  • Establish engineering standards, reusable frameworks, and best practices
  • Mentor engineers and influence cross‑functional technical decisions
  • Evaluate and introduce modern AI tooling, LLM integrations, RAG systems, copilots, and agentic workflows
  • Drive operational excellence around logging, monitoring, telemetry, debugging, and platform reliability
Core Engineering
  • Strong experience in distributed systems and scalable web platforms
  • Deep understanding of backend architecture and APIs
  • Strong coding skills in Java, Node.js, Python, or Go
  • Experience designing highly available and scalable systems
  • Strong system design and architecture fundamentals
AI & Platform Experience
  • Hands‑on experience integrating AI/LLM capabilities into products or workflows
  • Understanding of prompt engineering, embeddings, vector databases, and RAG pipelines
  • Experience with OpenAI, Anthropic, Gemini, or similar AI platforms
  • Familiarity with developer productivity tooling and platform engineering concepts
  • Exposure to AI‑assisted coding workflows and internal engineering copilots
Cloud & Infrastructure
  • Strong Kubernetes and container orchestration experience
  • Experience with Terraform, Helm, CI/CD pipelines, Git Hub Actions, or Jenkins
  • Experience with OCI, AWS, or GCP
  • Strong understanding of observability tools such as Grafana, Loki, Prometheus, Click House, and Open Telemetry
  • Understanding of platform reliability and SRE principles
Leadership Expectations
  • Ability to lead ambiguous and fast‑moving initiatives
  • Strong ownership mindset and execution capability
  • Excellent communication and stakeholder management
  • Comfortable working across product, infra, and engineering teams
  • Ability to challenge existing systems and drive modernization
  • Experience mentoring engineers and leading technical discussion
Who you are & what you’ll need to succeed.
  • 6–10+ years of engineering experience
  • Experience building internal developer platforms
  • Experience in large‑scale enterprise or multi‑brand ecosystems
  • Knowledge of identity systems, authentication, SSO, or platform integrations
  • Exposure to AI governance and AI security
  • Experience with event‑driven systems and workflow orchestration
  • Previously worked as Senior Engineer, Staff Engineer, Tech Lead, Principal Engineer, or Engineering Lead
  • Hands‑on builder with strong architecture skills
  • Passionate about AI evolution and developer tooling
  • Able to balance speed, scalability, and business impact
Why you’ll love us.
  • We’ve evolved: We provide three work environment scenarios. You can feel like a Newfolder in a work‑from‑home, hybrid, or work‑from‑the‑office environment.
  • Work‑life balance: Our work is thrilling and meaningful, but we know balance is key to living well.
  • We celebrate one another’s differences: We’re proud of our culture of…
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