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For Companies At a Glance
- Tasks: Design, deploy, and optimise AWS event-driven architectures for AI-driven automation.
- Company: Join a leading AI consulting firm at the forefront of enterprise-scale AI adoption.
- Benefits: Enjoy hybrid flexibility with remote work options and unmatched career progression.
- Why this job: Be part of a groundbreaking Generative AI project that shapes the future of data streaming.
- Qualifications: 5+ years in cloud engineering; strong AWS MSK and Kafka expertise required.
- Other info: Immediate starts available; work in London’s financial district two days a week.
The predicted salary is between 43200 - 72000 £ per year.
An opportunity to work on one of the first enterprise Generative AI projects of its kind anywhere in the world. Our client, a leading AI consulting firm, has recently expanded into the UK and is partnering with a FTSE 250 company to deliver a groundbreaking AI transformation programme. This project is a rare opportunity to be at the forefront of enterprise-scale AI adoption, working with AWS cloud-native event-driven architectures that will shape the future of AI-powered data streaming and automation.
The Role
As an AWS Platform Engineer, you will play a key role in designing, deploying, and optimising event-driven architectures in an AWS cloud environment. You will work alongside AI specialists, DevOps engineers, and data teams to build highly scalable, real-time data streaming solutions that drive AI-driven automation and decision-making. This is a client-facing role, requiring:
- Exceptional communication skills to engage with both technical and non-technical stakeholders
- A high-energy approach, working in a fast-paced, cutting-edge environment
- Strong stakeholder management skills to collaborate effectively with clients and internal teams
You will be expected to spend two days per week on-site in London’s financial district, with remote work available for the remaining three days.
Essential Skills and Experience
- Strong expertise in AWS cloud services, with practical experience or theoretical knowledge of AWS MSK (Managed Streaming for Apache Kafka)
- Deep understanding of Kafka (Apache Kafka, Confluent Kafka) and event-driven microservices architecture
- Proficiency in Infrastructure as Code tools (Terraform, AWS CloudFormation)
- Experience with observability and monitoring tools (Prometheus, Grafana, AWS CloudWatch)
- Familiarity with data streaming frameworks such as Kafka Streams, Flink, or Spark Streaming
- Knowledge of security best practices, including IAM, encryption, and role-based access control
- At least 5 plus years of experience in cloud engineering, DevOps, or backend platform development
- Hands-on experience with AWS MSK is ideal, but candidates with strong Kafka expertise and a willingness to upskill in AWS MSK will be considered
- Multi-cloud experience (Azure Event Hubs, Google Pub/Sub)
- Experience with alternative messaging and queueing systems (RabbitMQ, ActiveMQ, Redis Streams)
- Hybrid cloud or on-prem Kafka deployment experience
Why Join?
- Work on one of the most significant Generative AI projects in the world
- Be part of an international AI consulting leader delivering cutting-edge solutions
- Gain experience with enterprise AI adoption at scale
- Work directly with a FTSE 250 client in London’s financial hub
- Unmatched long-term career progression in a high-growth consultancy
- Hybrid flexibility – work remotely three days a week, with two days on-site in London
- Build expertise in event-driven architectures, AWS MSK, and AI-powered data streaming
This is an opportunity to work on a truly groundbreaking project, delivering high-performance, cloud-native platforms that will redefine enterprise AI adoption. Immediate starts available – apply now or contact me for more details.
AWS Platform Engineer (MSK) employer: EMBS Technology
Contact Detail:
EMBS Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Platform Engineer (MSK)
✨Tip Number 1
Familiarise yourself with AWS MSK and event-driven architectures. Since this role requires strong expertise in these areas, consider building a small project or contributing to open-source projects that utilise these technologies to showcase your practical knowledge.
✨Tip Number 2
Network with professionals in the AI and cloud engineering fields. Attend meetups or webinars focused on AWS and Kafka to connect with industry experts and learn about the latest trends, which can give you an edge during interviews.
✨Tip Number 3
Prepare to discuss your experience with Infrastructure as Code tools like Terraform or AWS CloudFormation. Be ready to provide examples of how you've used these tools to automate deployments and manage infrastructure effectively.
✨Tip Number 4
Brush up on your communication skills, especially for client-facing scenarios. Practice explaining complex technical concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders in this role.
We think you need these skills to ace AWS Platform Engineer (MSK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS cloud services, particularly AWS MSK and event-driven architectures. Use specific examples to demonstrate your skills in cloud engineering and DevOps.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and cloud technologies. Mention your relevant experience and how it aligns with the role of AWS Platform Engineer, emphasising your communication skills and ability to work in a fast-paced environment.
Highlight Relevant Projects: In your application, include details about any projects you've worked on that involved Kafka, Infrastructure as Code tools, or data streaming frameworks. This will help demonstrate your hands-on experience and technical expertise.
Showcase Soft Skills: Since this is a client-facing role, make sure to highlight your stakeholder management skills and ability to communicate effectively with both technical and non-technical audiences. Provide examples of how you've successfully collaborated with teams in the past.
How to prepare for a job interview at EMBS Technology
✨Showcase Your AWS Expertise
Make sure to highlight your strong expertise in AWS cloud services during the interview. Be prepared to discuss specific projects where you've used AWS MSK or other relevant tools, as this will demonstrate your practical knowledge and experience.
✨Communicate Effectively
Since this role requires exceptional communication skills, practice explaining complex technical concepts in simple terms. This will help you engage with both technical and non-technical stakeholders, showcasing your ability to bridge the gap between different teams.
✨Demonstrate Stakeholder Management Skills
Prepare examples of how you've successfully collaborated with clients and internal teams in previous roles. Highlight your approach to managing expectations and resolving conflicts, as strong stakeholder management is crucial for this position.
✨Familiarise Yourself with Event-Driven Architectures
Brush up on your knowledge of event-driven microservices architecture and data streaming frameworks like Kafka Streams or Flink. Being able to discuss these topics confidently will show your readiness to contribute to the groundbreaking AI transformation programme.
