AWS Platform Engineer at Deeplight

📍 Job Overview

Job Title: AWS Platform Engineer
Company: Deeplight
Location: Dubai, United Arab Emirates
Job Type: Hybrid (On-site)
Category: DevOps Engineer, System Administrator, Web Infrastructure
Date Posted: 2025-07-01
Experience Level: Mid-Senior level (5-10 years)

🚀 Role Summary

Key Responsibilities: Lead the end-to-end implementation of robust, scalable, and secure cloud architectures on AWS to support real-time AI workloads and enterprise-grade solutions.
Key Technologies: AWS Services (EC2, S3, RDS, Lambda, CloudFront, IAM, VPC, etc.), Containerization (Docker, Kubernetes), DevOps Tools (Jenkins, Git, Prometheus, Grafana), Infrastructure as Code (Terraform, CloudFormation)

📝 Enhancement Note: This role focuses on implementing and managing AWS infrastructure to support AI workloads, requiring strong AWS services knowledge and experience in containerization and DevOps practices.

💻 Primary Responsibilities

AWS Infrastructure Management: Design, implement, and maintain secure, scalable, and highly available AWS infrastructure to support a range of applications and services, ensuring alignment with best practices.
Automation: Implement Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation to automate the provisioning, deployment, monitoring, and management of AWS resources.
Security and Compliance: Enforce and implement security best practices and compliance measures, including identity and access management, data protection, encryption, and vulnerability scanning.
Performance Optimization: Monitor, analyze, and actively implement improvements to system performance, ensuring reliability and operational efficiency across all deployed infrastructure.
Continuous Integration/Continuous Deployment (CI/CD): Develop, implement, and manage CI/CD pipelines to automate and streamline the deployment process, enabling rapid and stable delivery of software and infrastructure updates.
Collaboration: Work closely with development, data, and operations teams to gather requirements, implement solutions, troubleshoot issues, and support full lifecycle deployment of AI and analytics workloads.
Documentation: Create and maintain comprehensive, implementation-focused documentation for system architecture, deployment processes, workflows, and configuration standards to support operational transparency and onboarding.

📝 Enhancement Note: This role requires a strong focus on implementation, with responsibilities spanning AWS infrastructure management, automation, security, performance optimization, and CI/CD. Collaboration and documentation are also crucial for successful execution.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications (e.g., AWS Certified Solutions Architect) are a plus.

Experience: Proven experience as an AWS Platform Engineer or in a similar role, with a strong background in implementing and managing cloud infrastructure and services in production environments.

Required Skills:

In-depth knowledge and hands-on experience with AWS services, including EC2, S3, RDS, Lambda, CloudFront, IAM, VPC, and others.
Practical experience implementing and managing containerization technologies such as Docker and Kubernetes, with an understanding of microservices architecture and orchestration.
Demonstrated ability to implement and support DevOps practices and tooling, including CI/CD systems and monitoring platforms such as Jenkins, Git, Prometheus, or Grafana.
Strong analytical and problem-solving skills, with a track record of translating design into implementation in a collaborative, fast-paced environment.
A commitment to continuous learning and hands-on adoption of emerging technologies, tools, and best practices within the cloud computing and infrastructure domain.

Preferred Skills:

Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
Familiarity with AI and machine learning workloads and their unique infrastructure requirements.
Knowledge of data pipelines and machine learning platforms.
Experience working in a hybrid or remote environment.

📝 Enhancement Note: This role requires a strong foundation in AWS services, containerization, and DevOps practices. Experience with AI workloads and Infrastructure as Code tools is preferred but not required.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

AWS Infrastructure Projects: Include projects demonstrating your ability to design, implement, and manage secure, scalable, and highly available AWS infrastructure.
Containerization & Microservices: Showcase projects that highlight your experience with containerization technologies like Docker and Kubernetes, and microservices architecture.
CI/CD Pipelines: Display projects that showcase your ability to develop, implement, and manage CI/CD pipelines for automated deployment and infrastructure management.
Security & Compliance: Include projects that demonstrate your understanding of security best practices and compliance measures for AWS infrastructure.

Technical Documentation:

System Architecture: Document the architecture of your AWS infrastructure projects, explaining design choices, components, and their interactions.
Deployment Processes: Detail the deployment processes for your projects, including any automation scripts or tools used.
Configuration Standards: Outline the configuration standards used in your projects, ensuring they align with best practices and industry standards.

📝 Enhancement Note: This role requires a strong focus on implementation, so your portfolio should emphasize projects that demonstrate your ability to design, implement, and manage AWS infrastructure, containerization, and CI/CD pipelines. Include detailed documentation for each project.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Dubai, United Arab Emirates, is AED 35,000 - 55,000 per month (USD 9,500 - 15,000) for a mid-level candidate, and AED 50,000 - 70,000 per month (USD 13,600 - 19,000) for a senior-level candidate. Salaries are estimated based on regional market research and industry standards for AWS Platform Engineers.

Benefits:

Competitive salary and benefits package
Opportunities for professional development and career advancement
A dynamic and collaborative work environment
The chance to work on cutting-edge AI projects and make a meaningful impact

Working Hours: Full-time position with standard working hours, typically 40 hours per week. Flexible working hours may be required to support deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: Salary estimates are based on regional market research and industry standards for AWS Platform Engineers. Benefits are competitive and include opportunities for professional development and career advancement.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence and Machine Learning

Company Size: Medium (50-249 employees)

Founded: 2015

Team Structure:

A dynamic team of experts in AI, data engineering, and machine learning
Collaborative and cross-functional teams, fostering creativity, learning, and growth
A culture of curiosity, excellence, and collaboration, where ideas are valued, and contributions are recognized and rewarded

Development Methodology:

Agile development methodologies, with a focus on rapid iteration and continuous improvement
Collaborative development processes, with regular code reviews and peer programming
A commitment to continuous learning and adoption of emerging technologies and best practices

Company Website: Deeplight AI

📝 Enhancement Note: Deeplight is a pioneering AI company committed to pushing the boundaries of innovation in artificial intelligence. The company fosters a dynamic and collaborative work environment, with a culture of curiosity, excellence, and collaboration.

📈 Career & Growth Analysis

AWS Platform Engineer Career Level: Mid-Senior level (5-10 years) with a focus on implementing and managing AWS infrastructure to support AI workloads.

Reporting Structure: This role reports directly to the Head of Infrastructure and collaborates closely with development, data, and operations teams.

Technical Impact: As an AWS Platform Engineer, you will be directly responsible for implementing, deploying, and operationalizing cloud infrastructure on AWS to support real-time AI workloads and enterprise-grade solutions. Your work will ensure that DeepLight's solutions move seamlessly from design into production, powering mission-critical systems.

Growth Opportunities:

Technical Growth: Deepen your expertise in AWS services, containerization, and DevOps practices, with opportunities to specialize in specific areas or take on leadership roles.
Career Progression: With experience and demonstrated success, you may progress to senior roles such as Technical Lead, Engineering Manager, or even CTO.
Emerging Technologies: Stay up-to-date with the latest developments in AI, machine learning, and cloud computing, and contribute to DeepLight's cutting-edge projects.

📝 Enhancement Note: This role offers significant growth opportunities, with a focus on technical expertise, career progression, and exposure to emerging technologies in the AI and machine learning domains.

🌐 Work Environment

Office Type: Modern, collaborative workspace with state-of-the-art facilities and amenities

Office Location(s): Dubai, United Arab Emirates

Workspace Context:

Collaboration: Open-plan workspaces that encourage collaboration and teamwork
Technology: Access to the latest hardware, software, and tools to support your work
Flexibility: Flexible working arrangements, including remote work options, to support work-life balance

Work Schedule: Standard working hours, typically 40 hours per week, with flexible working hours required to support deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: Deeplight offers a modern, collaborative work environment with flexible working arrangements to support work-life balance. The company's focus on collaboration and teamwork fosters a dynamic and engaging work environment.

📄 Application & Technical Interview Process

Interview Process:

Phone/Video Screen: A brief conversation to assess your communication skills, cultural fit, and understanding of the role.
Technical Deep Dive: A detailed discussion of your technical skills, experience, and approach to AWS infrastructure management, automation, security, and performance optimization.
Behavioral & Situational Questions: Questions designed to assess your problem-solving skills, adaptability, and cultural fit.
Final Interview: A conversation with the hiring manager or a senior team member to discuss your career goals, expectations, and any remaining questions.

Portfolio Review Tips:

AWS Infrastructure Projects: Highlight projects that demonstrate your ability to design, implement, and manage secure, scalable, and highly available AWS infrastructure.
Containerization & Microservices: Showcase projects that highlight your experience with containerization technologies like Docker and Kubernetes, and microservices architecture.
CI/CD Pipelines: Display projects that showcase your ability to develop, implement, and manage CI/CD pipelines for automated deployment and infrastructure management.
Security & Compliance: Include projects that demonstrate your understanding of security best practices and compliance measures for AWS infrastructure.

Technical Challenge Preparation:

AWS Services: Brush up on your knowledge of AWS services, with a focus on those relevant to the role, such as EC2, S3, RDS, Lambda, CloudFront, IAM, and VPC.
Containerization & Microservices: Review your understanding of containerization technologies like Docker and Kubernetes, and microservices architecture.
DevOps Practices: Familiarize yourself with DevOps practices and tools, such as Jenkins, Git, Prometheus, and Grafana.
Problem-Solving Skills: Prepare for questions that assess your analytical and problem-solving skills, with a focus on translating design into implementation in a collaborative, fast-paced environment.

ATS Keywords: AWS, Infrastructure Management, Cloud Computing, Containerization, DevOps, CI/CD, Security, Compliance, Performance Optimization, AI, Machine Learning, Data Pipelines, Microservices, Agile, Collaboration, Documentation, Implementation, Automation, Problem-Solving, Continuous Learning.

📝 Enhancement Note: The interview process for this role focuses on assessing your technical skills, experience, and approach to AWS infrastructure management, automation, security, and performance optimization. Prepare for a detailed discussion of your portfolio and be ready to demonstrate your problem-solving skills and cultural fit.

📌 Application Steps

To apply for this AWS Platform Engineer position at Deeplight:

Customize Your Portfolio: Tailor your portfolio to highlight your AWS infrastructure, containerization, and CI/CD projects, with a focus on implementation and documentation.
Optimize Your Resume: Highlight your relevant experience, skills, and achievements in AWS services, containerization, and DevOps practices. Include any relevant certifications and industry keywords.
Prepare for the Interview: Review the interview process and prepare for a detailed discussion of your technical skills, experience, and approach to AWS infrastructure management, automation, security, and performance optimization.
Research Deeplight: Familiarize yourself with Deeplight's mission, values, and culture. Understand their focus on AI and machine learning, and be prepared to discuss how your skills and experience align with their goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

AWS Platform Engineer