Senior AWS Platform Engineer

deeplight ai United Arab Emirates
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AI Summary

Transformative AI solutions, bespoke cloud infrastructure, and scalable, high-performance cloud architecture. Design and deploy production-ready AWS environments, manage cloud costs, and ensure secure and performant communication between services. Collaborate with high-level stakeholders to build trust and articulate technical decisions.

Key Highlights
Transformative AI solutions
Bespoke cloud infrastructure
Scalable, high-performance cloud architecture
Key Responsibilities
Architect and deploy production-ready AWS environments from scratch using a landing zone approach
Deploy, scale, and manage AWS AI/ML services (Bedrock, SageMaker, Rekognition, Textract, Lookout) to support AI-driven application development
Standardize all deployments using Terraform to ensure consistency and modularity
Manage API lifecycles using AWS API Gateway and Kong, ensuring secure and performant communication between services
Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns
Technical Skills Required
AWS Terraform CI/CD (GitHub Actions) IaC AWS Bedrock SageMaker VPC design Subnetting Route 53 Direct Connect AWS API Gateway Kong
Benefits & Perks
Competitive salary
Comprehensive personal health insurance
Visa sponsorship
Professional development and certification support
Subscription reimbursement
Monthly Employee Incentive program
Career advancement opportunities

Job Description


DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.

At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.

The Senior AWS Platform Engineer is a strategic "Greenfield" leadership position focused on architecting a foundational AWS ecosystem from the ground up for a major FinTech enterprise. You will design and scale a secure, automated, and AI-ready cloud infrastructure, balancing the integration of AWS Bedrock and SageMaker with rigorous FinOps and Terraform standardization. Ultimately, you are building the scalable, high-performance "engine room" that will power the next generation of digital financial services.

Your responsibilities as the Senior AWS Platform Engineer include:

  • Architect and deploy production-ready AWS environments from scratch using a landing zone approach
  • Deploy, scale, and manage AWS AI/ML services (Bedrock, SageMaker, Rekognition, Textract, Lookout) to support AI-driven application development
  • Standardize all deployments using Terraform to ensure consistency and modularity
  • Manage API lifecycles using AWS API Gateway and Kong, ensuring secure and performant communication between services
  • Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns
  • Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code

As an AI consultancy, our greatest asset is the expertise of our people.

While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.

We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.

You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.

If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.

Requirements

We need you to have:

  • 5+ years experience in the AWS ecosystem
  • Expert-level Terraform skills
  • Experience with CI/CD (GitHub Actions) and IaC (Terraform)
  • Direct experience with AWS Bedrock and SageMaker
  • Expert knowledge of VPC design, Subnetting, Route 53, and Direct Connect
  • Hands-on experience with AWS API Gateway or Kong
  • A proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance
  • A strong foundational understanding of Cloud Architecture

Benefits

The benefits you'll enjoy as part of this role include:

  • Competitive salary
  • Comprehensive personal health insurance
  • Visa Sponsorship for the successful individual
  • Professional development and certification support
  • Subscription reimbursement relating to your role
  • Opportunity to work on cutting-edge AI projects
  • Monthly Employee Incentive program
  • Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.

Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

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