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- 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
- Strong expertise in AWS cloud services, particularly 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 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
- Work on one of the most significant Generative AI projects worldwide
- 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
AWS Platform Engineer - greater london, england, United Kingdom - EMBS Technology
2 weeks ago
Description
**Role Summary:**
This is an exciting opportunity to work on a pioneering Generative AI project in the enterprise space. As an AWS Platform Engineer, you will play a key role in designing, deploying, and optimizing event-driven architectures in an AWS cloud environment.
The Role
You will be part of a high-performing team working with 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:
You will spend two days per week on-site in London's financial district and have remote work available for the remaining three days.
Essential Skills and Experience
Why This Opportunity?
This is an exceptional chance to contribute to a groundbreaking project delivering high-performance, cloud-native platforms that will redefine enterprise AI adoption.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Financial Services, Technology, Information and Media, and IT System Data Services
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