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Devops Lead

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Axiom Software Solutions Limited
Part Time, Contract position
Listed on 2025-12-08
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below

Overview

Job Title: Devops Lead

Location: Leeds, United Kingdom (Hybrid- 2 days/week)

Job Type: Contract Inside IR35

Client: Wipro

Responsibilities
  • Designing and architecting scalable, real-time systems in Kafka.
  • Configuring, deploying, and maintaining Kafka clusters to ensure high availability and scalability.
  • Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam.
  • Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs.
  • Implementing security measures to protect Kafka clusters and data streams.
  • Monitoring Kafka performance and troubleshooting issues to ensure optimal performance.
  • Providing technical guidance and support to development operations teams.
  • Staying updated with the latest Kafka features, updates and industry practices.
Required Skills / Qualifications
  • Extensive experience with Apache Kafka and real-time architecture including event-driven frameworks.
  • Strong knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam.
  • Experience with cloud platforms such as GCP Pub/Sub.
  • Excellent problem-solving skills.
  • Knowledge of Kafka data pipelines and messaging solutions to support real-time processing.
  • Monitoring Kafka performance, enhancing decision making and operational efficiency.
  • Collaborating with development teams to integrate Kafka applications and services.
  • Maintain an architectural library for Kafka deployment models and patterns.
  • Helping developers to maintain Kafka connectors such as JDBC, Mongo

    DB and S3 connectors, along with topics schemas, to streamline data ingestion from databases, No

    SQL data stores and cloud storage, enabling faster data insight.
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