> Markdown version of [/jobs/ext/3810645-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/3810645-senior-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Engineer

- **Company:** Apple Inc.
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Big Data, Distributed Systems, Memory Management, Performance Tuning, Software Engineering, Concurrency, Apache Spark, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Flink, Cassandra, Apache Kafka, Claude, Data Pipelines, Docker
- **Published:** October 18, 2026
- **Apply:** https://www.totaljobs.com/job/senior-software-engineer/apple-job108199486

## About the Role

* Substantial experience designing, building and operating business-critical, large-scale distributed systems.
 * Fluency in at least one statically typed language, ideally Java or Scala, and a strong grasp of big-data fundamentals: concurrency, memory management, networking and performance optimisation.
 * In-depth understanding of at least one distributed or big-data system, such as Kafka, Flink, Spark, Trino, Iceberg or Cassandra.
 * Experience gathering requirements and turning ambiguous business needs into clear, accurate technical specifications.
 * A focus on quality and craftsmanship: You reason well about complex failure modes and deliver well-tested, maintainable code., * Practical experience maintaining large-scale data pipelines with Spark and Flink.
 * Experience with cloud, container and infrastructure tools such as Kubernetes and Docker.
 * Effective use of AI tools such as Claude in day-to-day engineering.
 * Contributions to open-source data-processing projects.
 * Excellent written and verbal communication across distributed teams.
 * Bachelor's or Master's degree in Computer Science, Software Engineering or equivalent experience.

## Description

* Build at scale: Design, build and evolve distributed compute frameworks, data pipelines and real-time streaming applications that process billions of data points per day.
 * Turn questions into specs: Work with partners to understand what they need and why. Write clear technical specs that define datasets, metrics and requirements, and review specs written by others.
 * Deliver with partners: Work on cross-functional projects with engineering teams, product leads, data scientists and analytics leaders to build datasets, metrics and insights.
 * Drive technical direction: Lead initiatives from problem discovery through to production. Weigh cost, complexity and performance, and choose the right tool for each problem.
 * Run it well: Share ownership of high-throughput, low-latency production systems. That includes on-call, and hardening systems against failure before it happens.
 * Raise the bar: Do thorough code and design reviews, mentor other engineers, and champion testing and engineering best practices.