Related skills
react aws kubernetes databricks scala📋 Description
- Own the engineering roadmap for all products and platform capabilities.
- Lead architecture discussions for distributed data, ML pipelines, and apps.
- Ensure scalable, reliable systems for massive datasets and ML workloads.
- Champion best practices: testing, observability, CI/CD, incident response.
- Lead and mentor multi-discipline teams; build scalable engineering org.
- Collaborate with Product/Data Science/DevOps for delivery and infra.
🎯 Requirements
- Proven leadership of multi-team engineering orgs (20+ engineers).
- Strong background in distributed systems and high-scale data pipelines.
- Deep understanding of modern data stacks (Spark, Databricks, cloud-native).
- Experience working with Data Science teams and delivering ML models.
- Strong TypeScript/React skills; modern frontend engineering.
- Solid DevOps practices: CI/CD, containerisation, orchestration, AWS.
🎁 Benefits
- Remote-first culture with London/Austin/Sydney geohubs.
- Flexible work with autonomy over your day.
- Private medical insurance for you and family.
- Mental health support and employee assistance program.
- Family care package and parental leave benefits.
- Home office stipend and welcome merch.
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