📍 Job Overview

Job Title: AWS Database Engineer
Company: Cloudelligent
Location: Lahore, Punjab, Pakistan
Job Type: On-site, Full-time
Category: DevOps, Infrastructure
Date Posted: June 23, 2025
Experience Level: Mid-Senior level (5-10 years)

🚀 Role Summary

Design, implement, and manage cloud-based relational database systems using Amazon RDS, Aurora, and EC2-hosted databases.
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and security.
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.
Support developers by analyzing and optimizing SQL queries for performance and efficiency.
Implement database automation, infrastructure as code (IaC) practices, and CI/CD pipelines for database deployments.
Stay current with emerging AWS features, database technologies, and industry best practices.

📝 Enhancement Note: This role requires a strong background in database administration and optimization in cloud environments, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases on AWS and be skilled in designing, implementing, and maintaining scalable, secure, and high-performance database systems in the cloud.

💻 Primary Responsibilities

Database Management & Optimization:
- Design, implement, and manage cloud-based relational database systems using Amazon RDS, Aurora, and EC2-hosted databases.
- Administer and optimize PostgreSQL, MySQL, and Oracle databases, including performance tuning, backup & recovery, high availability, and disaster recovery.
- Analyze and optimize SQL queries for performance and efficiency.
Database Migration & Modernization:
- Perform database migrations using AWS Database Migration Service (DMS) and other migration tools.
- Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.
Database Security & Compliance:
- Ensure data security, encryption, and compliance with industry best practices and internal policies.
- Monitor and troubleshoot database issues, ensuring high availability and security compliance.
Automation & Infrastructure as Code:
- Implement database automation, infrastructure as code (IaC) practices, and CI/CD pipelines for database deployments.
- Maintain comprehensive documentation on database architecture, processes, and procedures.

📝 Enhancement Note: The primary responsibilities of this role involve a mix of technical tasks, such as database management, optimization, and migration, as well as collaborative work with various teams to ensure reliable and scalable data solutions. The ideal candidate will have a strong background in database administration and a solid understanding of AWS database services.

🎓 Skills & Qualifications

Education: A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Experience: 4+ years of experience in database engineering or administration, including hands-on experience with databases on AWS.

Required Skills:

Strong experience with AWS Database Services, including RDS, Aurora, and DMS.
Proficient in database performance tuning, indexing strategies, partitioning, and query optimization.
Strong scripting and automation experience using Python, Bash, or similar.
Experience with infrastructure as code tools like Terraform or CloudFormation.
Solid understanding of backup strategies, monitoring tools, and security best practices.
Familiarity with multi-account AWS environments and cross-region/database replication.
Excellent communication and problem-solving skills.

Preferred Skills:

AWS Certification (e.g., AWS Certified Database – Specialty, AWS Certified Solutions Architect – Associate).
Experience with large-scale database migrations from on-prem to AWS.
Familiarity with data governance, compliance, and auditing tools.

📝 Enhancement Note: The required and preferred skills for this role emphasize a strong background in database administration and optimization, with a focus on AWS database services and infrastructure as code. The ideal candidate will have a solid understanding of database performance tuning, scripting, and automation, as well as experience with AWS services and best practices.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Case studies demonstrating database migration, optimization, and high availability projects.
Live demos showcasing database performance, security, and automation implementations.
Examples of SQL query optimization and performance tuning techniques.

Technical Documentation:

Detailed documentation on database architecture, processes, and procedures.
Code comments and documentation explaining database design, optimization, and migration strategies.
Version control and deployment processes for database projects.

📝 Enhancement Note: The portfolio and project requirements for this role focus on demonstrating database migration, optimization, and high availability projects. The ideal candidate will provide case studies, live demos, and technical documentation showcasing their expertise in database administration and AWS services.

💵 Compensation & Benefits

Salary Range: PKR 1,200,000 - 1,800,000 per annum (Based on experience and skills)

Benefits:

Competitive salary package.
Health, dental, and vision insurance.
Retirement savings plan with company matching.
Generous vacation and sick leave policy.
Professional development opportunities and training.
A dynamic and collaborative work environment.

Working Hours: 8:00 AM - 5:00 PM CST (6:00 PM - 3:00 AM PKT)

📝 Enhancement Note: The salary range for this role is based on market research for mid-senior level database engineers in Lahore, Pakistan, with a focus on AWS database services. The benefits package includes competitive health insurance, retirement savings, and professional development opportunities.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud-native consultancy and AWS Advanced consulting partner.

Company Size: Medium-sized team with an international footprint and diverse expertise.

Founded: 2015 (9 years in business)

Team Structure:

A diverse team of domain experts with a customer-obsessed culture.
Collaborative environment with cross-functional teams working on various cloud projects.
Flat hierarchy with a focus on agile methodologies and continuous improvement.

Development Methodology:

Agile/Scrum methodologies with sprint planning for web projects.
Code review, testing, and quality assurance practices.
Deployment strategies, CI/CD pipelines, and server management using AWS services.

Company Website: www.cloudelligent.com

📝 Enhancement Note: Cloudelligent is a cloud-native consultancy and AWS Advanced consulting partner with a customer-obsessed culture. The company has a diverse team of domain experts and emphasizes collaboration, agile methodologies, and continuous improvement.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level database engineer with a focus on AWS database services and infrastructure as code.

Reporting Structure: This role reports directly to the Head of Database Engineering and collaborates with data architects, engineers, and DevOps teams.

Technical Impact: The AWS Database Engineer will have a significant impact on the design, implementation, and maintenance of cloud-based relational database systems, ensuring high availability, performance, and security.

Growth Opportunities:

Technical leadership roles in database engineering and architecture.
Specialization in emerging AWS services and database technologies.
Mentoring and knowledge-sharing opportunities with junior team members.

📝 Enhancement Note: This role offers growth opportunities in technical leadership, specialization, and mentoring, allowing the successful candidate to advance their career in database engineering and architecture while working with emerging AWS services and technologies.

🌐 Work Environment

Office Type: Modern, collaborative workspace with multiple monitors, testing devices, and comfortable working areas.

Office Location(s): Lahore, Punjab, Pakistan

Workspace Context:

A collaborative environment with dedicated workspace for database engineers.
Access to multiple monitors, testing devices, and development tools.
Opportunities for cross-functional collaboration with designers, marketers, and business teams.

Work Schedule: 8:00 AM - 5:00 PM CST (6:00 PM - 3:00 AM PKT) with flexible deployment windows and maintenance schedules.

📝 Enhancement Note: The work environment at Cloudelligent offers a modern, collaborative workspace with dedicated workspace for database engineers. The company encourages cross-functional collaboration and provides flexible deployment windows and maintenance schedules.

📄 Application & Technical Interview Process

Interview Process:

Technical Phone Screen: A 30-minute phone or video call to assess technical skills and cultural fit.
Technical Deep Dive: A 90-minute session focused on database administration, optimization, and AWS services.
Behavioral & Cultural Fit: A 30-minute conversation to evaluate problem-solving skills and cultural alignment.
Final Round: A 60-minute discussion with the Head of Database Engineering to review technical skills, career goals, and expectations.

Portfolio Review Tips:

Highlight database migration, optimization, and high availability projects.
Showcase SQL query optimization and performance tuning techniques.
Demonstrate understanding of AWS database services and infrastructure as code.

Technical Challenge Preparation:

Brush up on AWS Database Services, including RDS, Aurora, and DMS.
Review database performance tuning, indexing strategies, and query optimization techniques.
Familiarize yourself with infrastructure as code tools like Terraform or CloudFormation.

ATS Keywords: [See the comprehensive list of ATS keywords at the end of this document]

📝 Enhancement Note: The interview process for this role focuses on assessing technical skills in database administration, optimization, and AWS services, as well as evaluating cultural fit and problem-solving abilities. The technical challenge preparation tips emphasize brushing up on AWS Database Services, database performance tuning, and infrastructure as code.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

Amazon RDS
Aurora
EC2-hosted databases (PostgreSQL, MySQL, Oracle)
AWS Database Migration Service (DMS)

Infrastructure as Code Tools:

Terraform
CloudFormation

Monitoring & Logging Tools:

Amazon CloudWatch
AWS CloudTrail
ELK Stack (Elasticsearch, Logstash, Kibana)

📝 Enhancement Note: The technology stack for this role focuses on AWS Database Services, infrastructure as code tools, and monitoring & logging tools. The ideal candidate will have hands-on experience with these technologies and be familiar with their implementation in cloud environments.

👥 Team Culture & Values

Web Development Values:

Customer obsession and a commitment to delivering high-quality solutions.
Collaboration and knowledge-sharing across teams and disciplines.
Continuous learning and improvement through innovation and emerging technologies.
A focus on performance, security, and scalability in database administration and AWS services.

Collaboration Style:

Cross-functional integration between database engineers, data architects, and DevOps teams.
Code review culture and peer programming practices.
Knowledge sharing, technical mentoring, and continuous learning opportunities.

📝 Enhancement Note: The web development values at Cloudelligent emphasize customer obsession, collaboration, continuous learning, and a focus on performance, security, and scalability. The collaboration style encourages cross-functional integration, code review culture, and knowledge-sharing opportunities.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Designing and implementing highly available, scalable, and secure database systems in the cloud.
Migrating large-scale databases from on-prem to AWS with minimal downtime and data loss.
Optimizing database performance and query efficiency in complex, high-traffic environments.
Ensuring data security, encryption, and compliance with industry best practices and internal policies.

Learning & Development Opportunities:

Specialization in emerging AWS services and database technologies.
Certification programs and training opportunities to advance technical skills and knowledge.
Mentoring and leadership development opportunities to grow within the team and organization.

📝 Enhancement Note: The technical challenges for this role involve designing and implementing highly available, scalable, and secure database systems in the cloud, as well as migrating large-scale databases and optimizing database performance. The learning and development opportunities focus on specialization in emerging AWS services, certification programs, and mentoring.

💡 Interview Preparation

Technical Questions:

Database Administration & Optimization: Describe your experience with database performance tuning, indexing strategies, and query optimization. Provide examples of SQL queries you've optimized and the techniques you used to improve performance.
AWS Database Services: Explain your experience with AWS Database Services, such as RDS, Aurora, and DMS. Describe how you've used these services to migrate, manage, and optimize databases in the cloud.
Infrastructure as Code: Discuss your experience with infrastructure as code tools like Terraform or CloudFormation. Explain how you've used these tools to automate database deployments and manage infrastructure as code.

Company & Culture Questions:

Cloudelligent Culture: Describe what you understand about Cloudelligent's customer-obsessed culture and how you would contribute to it as an AWS Database Engineer.
Collaboration & Communication: Explain how you would collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions. Provide examples of successful cross-functional collaboration in your previous roles.
Problem-Solving: Describe a challenging database issue you've faced in the past and how you approached solving it. Explain the steps you took to diagnose, troubleshoot, and resolve the issue, and what you learned from the experience.

Portfolio Presentation Strategy:

Live Demo: Prepare a live demo showcasing your database migration, optimization, and high availability projects. Use this opportunity to walk the interviewer through your technical approach, the tools you used, and the outcomes you achieved.
Case Study: Develop a case study that outlines a complex database challenge you've faced in the past, the steps you took to address it, and the results you achieved. Use this case study to demonstrate your problem-solving skills and technical expertise.
SQL Query Optimization: Prepare an example of an SQL query you've optimized in the past, explaining the techniques you used to improve performance. Use this example to showcase your understanding of database performance tuning and query optimization.

📝 Enhancement Note: The interview preparation tips for this role focus on technical questions related to database administration, optimization, and AWS services, as well as company and culture questions that evaluate problem-solving skills and collaboration. The portfolio presentation strategy emphasizes live demos, case studies, and SQL query optimization examples.

📌 Application Steps

To apply for this AWS Database Engineer position at Cloudelligent:

Customize Your Portfolio: Tailor your portfolio to highlight database migration, optimization, and high availability projects, with a focus on AWS Database Services and infrastructure as code.
Optimize Your Resume: Highlight your relevant experience with database administration, optimization, and AWS services. Include specific examples of your technical achievements and the impact you've made in previous roles.
Prepare for Technical Interviews: Brush up on your technical skills in database administration, optimization, and AWS services. Practice answering technical questions and presenting your portfolio using the tips provided in this document.
Research Cloudelligent: Learn about Cloudelligent's customer-obsessed culture, collaborative environment, and commitment to delivering high-quality solutions. Prepare questions to ask during your interviews that demonstrate your understanding of the company and its values.

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

ATS Keywords:

Programming Languages:

SQL
PL/SQL
Python
Bash

Web Frameworks & Libraries:

AWS SDK (Boto3)
Terraform
CloudFormation

Server Technologies:

Amazon RDS
Aurora
EC2
PostgreSQL
MySQL
Oracle
AWS Database Migration Service (DMS)

Databases:

Relational databases (SQL)
NoSQL databases (AWS DynamoDB, AWS DocumentDB)

Tools:

AWS CloudWatch
AWS CloudTrail
ELK Stack (Elasticsearch, Logstash, Kibana)
AWS Systems Manager
AWS Secrets Manager
AWS IAM

Methodologies:

Agile/Scrum methodologies
Infrastructure as code (IaC)
Continuous Integration/Continuous Deployment (CI/CD)
Database migration strategies
Database optimization techniques

Soft Skills:

Problem-solving
Communication
Collaboration
Teamwork
Leadership

Industry Terms:

Database administrator (DBA)
Database engineer
Database architect
Cloud-native
AWS Certified Database – Specialty
AWS Certified Solutions Architect – Associate
AWS Certified Advanced Networking Specialty
AWS Certified Security Specialty
AWS Certified DevOps Engineer – Professional
AWS Certified Big Data – Specialty
AWS Certified Alexa Skill Builder – Specialty
AWS Certified Machine Learning – Specialty
AWS Certified Data Analytics – Specialty
AWS Certified IoT Specialty
AWS Certified Alexa Specialty
AWS Certified Serverless – Specialty
AWS Certified Cloud Practitioner
AWS Certified Solutions Architect – Associate
AWS Certified Solutions Architect – Professional
AWS Certified Developer – Associate
AWS Certified Developer – Professional

AWS Database Engineer