Location: Remote (95% remote, with possible on-site presence one day every two weeks in London)

Duration: 3-4 months (Likely to extend)

Outside IR35.

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!

If you are someone who really quality controls your output and has a consultative approach to your work, often not just doing what is within your remit, but also having opinions on how to improve and add value to other aspects of the project, then this one is for you.

Apply now for the full details!