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# Backend Engineer

- **Company:** Kpler
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £60,045.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), PHP (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Continuous Integration, Relational Databases, Distributed Systems, Software Engineering, SQL Databases, TypeScript, Datadog, Cloud Platform System, Test-Driven Development (TDD), Snowflake, Technical Debt, Backend, Containerization, Git Flow, Kubernetes, Low Latency, Apache Flink, Apache Kafka, Stream Processing, Data Pipelines, Docker, Microservices
- **Published:** October 22, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5936497275

## About the Role

* 3+ years of professional software engineering experience delivering backend services and data pipelines in production.
 * Strong proficiency in at least two core backend programming languages: Java, TypeScript, PHP, or Scala.
 * Practical experience building and operating event-driven applications or data pipelines in cloud environments (AWS).
 * Hands-on experience with containerized deployments using Kubernetes, Docker, and GitOps workflows.
 * Solid background in SQL, relational database design, data modeling, and distributed system fundamentals.

Nice-to-haves

 * Production experience with Apache Flink, Kafka Streams, or Snowflake.
 * Exposure to Test-Driven Development (TDD) and modern observability stacks (Datadog, OpenTelemetry, metrics, tracing).
 * Experience working on high-throughput, low-latency streaming systems where data freshness is critical.

## Description

* Design, build, and maintain high-performance backend microservices and APIs using Java, TypeScript, and PHP.
 * Develop and operate scalable real-time stream-processing applications using Apache Kafka, Kafka Streams, and Apache Flink.
 * Drive end-to-end technical ownership of backend services from design and testing through deployment, continuous monitoring, and production operations.
 * Optimize system health, throughput, and consumer lag across streaming infrastructure to maximize data freshness and platform uptime.
 * Investigate production incidents, perform thorough root-cause analysis, and implement long-term structural improvements.
 * Reduce technical debt by continuously elevating software maintainability, observability, automated test coverage, and CI/CD practices.
 * Partner cross-functionally with product managers, platform engineers, and peer teams to turn complex maritime domain needs into robust software.