# Senior Software Engineer, Data Platform

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** London, United Kingdom
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** MongoDB, Postgres, Amazon Kinesis, Apache Flink, Spark, Elasticsearch, Redis, Trino, Presto, Snowflake, Kubernetes, CircleCI, Distributed Systems, Cloud Platforms, Data Warehousing
**Posted:** 2026-08-04

> Leads the design, development, and reliability of foundational data storage, streaming, caching, indexing, and warehousing platforms. The role requires at least five years of backend engineering experience, distributed-systems expertise, and fluency with modern data and cloud technologies.

## Job Description

## Responsibilities

- Drive the design, implementation, and reliability of foundational data platforms and systems, working with stakeholders and internal customers to understand and refine requirements.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Identify opportunities and drive improvements to programming practices, including process enhancements and tool upgrades.
- Present technical information to teams and stakeholders, providing guidance on development processes and technologies.
- Mentor and lead teams on successful projects.

## Requirements

- 5+ years of full-time engineering experience after graduation, specializing in backend systems and large-scale data storage, streaming, and warehousing systems.
- Experience with database technologies, streaming and processing solutions, indexing and caching systems, and data query engines.
- Excellent communication and collaboration skills, including the ability to translate complex technical concepts for non-technical stakeholders.
- Experience with containerization, deployment technologies, Kubernetes, and public cloud platforms.
- Extensive software development experience and a deep understanding of distributed systems, cloud platforms, and data systems.

## Nice to Have

- Strong knowledge of software engineering best practices and CI/CD tooling.
- Experience scaling products at hyper-growth startups.
- Excitement to work with AI technologies.

## Benefits and Compensation

- No compensation information provided.

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