DevOps/Data Engineer - Amazon Connect Migration

  • Linuxrecruit
  • 14/07/2026
Full time Information Technology Telecommunications SQL

Job Description

Your DevOps and Data experience is required to aid a brand new artificial intelligence start-up in a mission critical project. The client in question incorporated on April 2nd so you're getting in as early as it gets with the chance of a flurry of work coming in, so it could be extensions galore.

You, as a data focused DevOps Engineer with a strong focus on data will be working on a high-impact project involving the migration of a call centre system to Amazon Connect, previous experience migrating to Amazon Connect is a MUST. You'll play a pivotal role in architecting and implementing robust DevOps solutions while leveraging your expertise in AWS, data management, and infrastructure automation.

Key Responsibilities
  • Lead the migration of the call centre system to Amazon Connect, ensuring seamless integration and optimal performance.
  • Utilise AWS services, including Kinesis and Terraform, to design and implement scalable and reliable infrastructure.
  • Develop and maintain automated pipelines for data processing and analysis.
  • Write and optimise SQL queries for data retrieval and manipulation.
  • Implement distributed logging solutions to facilitate monitoring and troubleshooting.
Requirements
  • Amazon Connect migration experience.
  • Proven experience in DevOps, with a focus on data and cloud technologies.
  • Strong proficiency in AWS services, including but not limited to EC2, S3, and IAM.
  • Hands on experience with Infrastructure as Code (IaC) tools such as Terraform.
  • Familiarity with data streaming technologies, such as Kinesis.
  • Proficiency in writing and optimising SQL queries for data analysis.
  • Experience with distributed logging solutions and monitoring tools.
  • Prior exposure to Blue, Athena, Genesis, and EEL pipelines is highly desirable.
  • Consulting background preferred, with a focus on delivering high-quality solutions and adding value to clients.
  • Knowledge of ML Ops and machine learning concepts is a plus - If not, you will get exposure in this role!