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- Tasks: Lead the migration of a call centre system to Amazon Connect and implement robust DevOps solutions.
- Company: Join a brand new AI start-up making waves in the tech industry.
- Benefits: Opportunity for extensions, remote work options, and exposure to cutting-edge technologies.
- Why this job: Be part of a high-impact project with a chance to shape the future of AI in customer service.
- Qualifications: Must have experience with Amazon Connect migration and strong AWS skills.
- Other info: Ideal for those who value quality and want to contribute beyond their role.
The predicted salary is between 36000 - 60000 £ per year.
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 are 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 will 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.
- 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!
DevOps/Data Engineer - Amazon Connect Migration employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps/Data Engineer - Amazon Connect Migration
✨Tip Number 1
Make sure to highlight your previous experience with Amazon Connect migration in any conversations you have. This is a must-have for the role, so be prepared to discuss specific projects where you've successfully completed similar migrations.
✨Tip Number 2
Familiarise yourself with the latest AWS services and tools mentioned in the job description, especially Kinesis and Terraform. Being able to speak confidently about how you've used these technologies in past projects will set you apart from other candidates.
✨Tip Number 3
Showcase your consultative approach by preparing examples of how you've added value to previous projects. This could include suggestions for improvements or innovative solutions you've implemented that enhanced project outcomes.
✨Tip Number 4
Network with professionals in the DevOps and data engineering fields, particularly those who have experience with Amazon Connect. Engaging in discussions on platforms like LinkedIn can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace DevOps/Data Engineer - Amazon Connect Migration
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your experience with Amazon Connect migration and any relevant DevOps projects. Use specific examples that showcase your skills in AWS, data management, and infrastructure automation.
Tailor Your CV: Customise your CV to align with the job description. Focus on your proficiency in AWS services, Infrastructure as Code tools like Terraform, and your ability to write and optimise SQL queries.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also demonstrates your consultative approach and how you can add value to the project. Mention your passion for quality control and continuous improvement.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at LinuxRecruit
✨Showcase Your Amazon Connect Experience
Make sure to highlight your previous experience with migrating systems to Amazon Connect. Be prepared to discuss specific challenges you faced and how you overcame them, as this will demonstrate your expertise and problem-solving skills.
✨Demonstrate Your DevOps Knowledge
Be ready to talk about your experience with DevOps practices, especially in relation to data management and cloud technologies. Discuss tools like Terraform and AWS services you've used, and how they contributed to successful project outcomes.
✨Prepare for Technical Questions
Expect technical questions related to SQL queries, data processing pipelines, and infrastructure automation. Brush up on your knowledge of Kinesis and distributed logging solutions, as these are crucial for the role.
✨Emphasise Your Consultative Approach
Since the role values a consultative mindset, be prepared to share examples of how you've added value beyond your immediate responsibilities. Discuss any suggestions you've made in past projects that improved processes or outcomes.
