Distributed System / Backend Engineer (Reading,...

Insight Global
Reading, United States of America
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Reading, United States of America

Tech stack

Java
API
Profiling
Code Review
DevOps
Distributed Systems
Monitoring of Systems
Java Virtual Machine (JVM)
Load Testing
Messaging Application Programming Interface
Enterprise Messaging Systems
Performance Tuning
Real Time Systems
Concurrency
Spring-boot
Reliability of Systems
Backend
Event Driven Architecture
Production Code
Kafka
Front End Software Development
Data Pipelines

Job description

We are seeking a highly skilled Distributed Systems / Backend Engineer to join our team and build, scale, and optimize high-throughput backend systems. This role will focus on designing and supporting event-driven architectures, with a strong emphasis on Java, Spring Boot, and Kafka-based messaging systems.

This is a hands-on engineering role where you will contribute to core backend services, support production systems, and partner closely with frontend and DevOps teams to ensure system reliability and performance.

Key Responsibilities

  • Design, build, and maintain distributed systems that support high-scale, real-time applications

  • Develop and optimize event-driven architectures using Kafka and messaging frameworks

  • Write clean, production-grade code using Java and Spring Boot

  • Collaborate with frontend engineers to deliver reliable backend APIs and services

  • Build and maintain high-throughput data pipelines and messaging systems

  • Conduct code reviews, troubleshoot issues, and contribute to overall system design

  • Partner with DevOps teams on deployment, monitoring, and operational excellence

Implement tooling and processes to improve system observability, reliability, and scalability

Requirements

Strong experience in distributed systems with strong fundamentals

  • Kafka deep expertise: Partitioning, replication, consumer groups, offset management, Schema Registry

  • High-throughput messaging architecture: Event-driven patterns, exactly-once vs. at-least-once semantics, backpressure handling

  • Strong Java platform skills: Concurrency, JVM tuning, Kafka client APIs (Producer/Consumer/Streams)

  • Performance optimization & Cost management: Profiling, load testing, infrastructure right-sizing, etc,

  • Hands-on engineering: Writes production code, conducts reviews, builds operational tooling

  • Team support and ops ownership working with DevOps

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