Associate Technical Support Engineer - Confluent

IBM
Hursley, United Kingdom
yesterday

Role details

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

Job location

Hursley, United Kingdom

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Bash
Command-Line Interface
Databases
Distributed Systems
DNS
Python
Knowledge Management
Linux System Administration
Enterprise Messaging Systems
Networking Basics
Reliability Engineering
Prometheus
Software Engineering
SQL Databases
System Software
Scripting (Bash/Python/Go/Ruby)
Transport Layer Security
Google Cloud Platform
Load Balancing
Grafana
Firewalls (Computer Science)
Kubernetes
Kafka
Data Pipelines
Docker
Confluent

Requirements

  • At least two years' recent experience in software development, technical support, site reliability engineering or a similar technical role. * Experience working with distributed systems, databases, messaging systems or data pipelines. * Ability to read and understand Java code for troubleshooting purposes. * Strong analytical and problem-solving skills with a structured approach to technical investigations. * Experience diagnosing technical issues in Linux environments using logs, command-line tools and system utilities. * Strong written and verbal communication skills with the ability to explain complex technical concepts clearly. * A genuine passion for learning new technologies and developing expertise in distributed streaming platforms. * A customer-first mindset with a desire to deliver outstanding technical support.

Preferred technical and professional experience

  • Apache Kafka or other distributed messaging technologies. * Java development. * Public cloud platforms (AWS, Azure or Google Cloud). * Kubernetes, Docker or containerised environments. * Linux system administration. * Networking fundamentals (DNS, TLS, load balancing, firewalls). * CI/CD pipelines and software development lifecycle practices. * SQL, data analysis or scripting (Python, Bash or similar). * Observability platforms such as Prometheus, Grafana or OpenTelemetry. * Experience using AI-assisted tools to improve troubleshooting, automation and knowledge management.

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