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Senior Director of Platform & Data Engineering

1 month, 3 weeks ago
United Kingdom
Full-time
Lead
Data Architect
DevOps and Infrastructure
API Gateway AWS Databricks Kafka Kubernetes MLOps OpenTelemetry Pulumi Snowflake Terraform
Apply Now
Keyloop

Keyloop

Keyloop is the largest global automotive technology solutions provider, offering future motive technology to enhance the car buying and owning experience. Their comprehensive solutions cover the entire consumer lifecycle, empowering growth through dist...

Automotive
1K-5K
View All Jobs 18

Description

  • Lead and develop a distributed platform and data engineering team, including coaching, mentorship, and career development.
  • Define the platform operating model and team structure to support product engineering teams as internal customers.
  • Set and execute the platform strategy for security, scalability, reliability, and developer productivity.
  • Co-own the multi-year platform engineering roadmap and translate business priorities into delivery plans.
  • Evolve shared services, the API gateway, integration layer, and internal developer platform across all product lines.
  • Establish and enforce API-first architecture standards across platform capabilities.
  • Drive cloud-native architecture decisions using AWS and infrastructure-as-code practices.
  • Lead the integration platform that supports onboarding acquired businesses and reducing time-to-integration.
  • Design and deliver the data platform, including data lakes, pipelines, analytics infrastructure, and AI/ML foundations.
  • Oversee observability, delivery execution, and FinOps governance across platform infrastructure.

Requirements

  • Deep experience in cloud-native platform engineering on AWS, including Terraform or Pulumi, Kubernetes or ECS, Kafka, and API gateway patterns.
  • Proven experience designing and operating shared platform services in a complex, multi-product enterprise SaaS environment.
  • Hands-on background in data platform engineering, including data lakes, ELT pipelines, and familiarity with Snowflake, Databricks, Athena, Glue, and EMR.
  • Experience building AI/ML infrastructure such as feature stores, model serving, MLOps pipelines, and LLM platform services.
  • Strong understanding of observability practices, including OpenTelemetry, distributed tracing, SLOs, and error budgets.
  • Security-first experience with enterprise security practices, ISO 27001, SOC 2, and zero-trust architecture.
  • Extensive engineering leadership experience building and scaling distributed teams of 60+ people.
  • Experience operating in an acquisitive software business and leading M&A technical integration.
  • Familiarity with modern delivery frameworks such as SAFe, Shape Up, or equivalent.
  • Strong FinOps capability, including cloud cost governance and commercial framing of infrastructure investment.
  • Practical experience scaling AI-native development tools such as GitHub Copilot, Claude Code, or Cursor.
  • Understanding of agentic software delivery patterns, including autonomous agents, human-in-the-loop workflows, and AI-assisted code review.
  • Ability to define governance frameworks for AI-augmented development while managing code quality, IP protection, and data security risks.
  • Excellent communication and stakeholder management skills with executive, commercial, and board audiences.
  • Experience partnering with product, commercial, and finance leadership in a PE-backed, high-growth software environment.

Interested in this position?

Apply directly on the company website

Apply Now

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