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iXceed Solutions

Solutions Architect

CompanyiXceed Solutions
LocationLondon Area, United Kingdom
Posted At3/5/2026

UK Visa Sponsorship Analytics

Occupation Type
IT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900 (£28.15 per hour)
Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with iXceed Solutions. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Mandatory skills:

  • 8+ years of hands-on experience with Kafka (any distribution:
  • 8+ open-source, Confluent, Cloudera, AWS MSK, etc.)
  • Strong proficiency in Java, Python, or Scala Solid understanding of event-driven architecture and data streaming patterns
  • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines
  • Excellent problem-solving and communication abilities


Desired skills*

  • Candidates with experience in Confluent Kafka and its ecosystem will be given preference:
  • Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center
  • Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink
  • Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC Confluent certifications (Developer, Administrator, or Flink Developer)
  • Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes
  • Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns
  • Exposure to monitoring tools (Prometheus, Grafana, Splunk)
  • Experience with data lakes, data warehouses, or big data ecosystems