📍 Job Overview

Job Title: AWS Database Engineer
Company: Cloudelligent
Location: Islamabad, Pakistan
Job Type: Full-Time
Category: DevOps Engineer
Date Posted: 2025-06-23
Experience Level: Mid-Senior level (5-10 years)
Remote Status: On-site

🚀 Role Summary

Key Responsibilities: 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. 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.
Key Skills: AWS Database Services, Database Administration, Database Optimization, SQL Databases, NoSQL Databases, Database Migration, Performance Tuning, Backup and Recovery, High Availability, Disaster Recovery, Infrastructure as Code, Scripting, Monitoring Tools, Data Security, Documentation, Collaboration.

📝 Enhancement Note: This role requires a strong background in database administration and optimization in cloud environments, particularly on AWS. Experience with both SQL and NoSQL databases is essential, as is a solid understanding of backup strategies, monitoring tools, and security best practices.

💻 Primary Responsibilities

Database Management: 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.
Database Migration: Perform database migrations using AWS Database Migration Service (DMS) and other migration tools. Ensure data security, encryption, and compliance with industry best practices and internal policies during migrations.
Collaboration: Work closely 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.
Monitoring & Troubleshooting: Monitor and troubleshoot database issues, ensuring high availability and security compliance. Maintain comprehensive documentation on database architecture, processes, and procedures.
Automation & Infrastructure as Code: Implement database automation, infrastructure as code (IaC) practices, and CI/CD pipelines for database deployments. Ensure that database systems are scalable, secure, and high-performing.

📝 Enhancement Note: The AWS Database Engineer role requires a strong focus on database performance, optimization, and high availability. Experience with infrastructure as code tools like Terraform or CloudFormation is highly desirable, as is familiarity with multi-account AWS environments and cross-region/database replication.

🎓 Skills & Qualifications

Education: 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: While a Bachelor's or Master's degree in a related field is required, equivalent practical experience may be considered. AWS certifications are highly desirable but not mandatory. Experience with large-scale database migrations and familiarity with data governance tools are considered highly beneficial for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Database Performance Optimization: Demonstrate your ability to optimize database performance through indexing, query optimization, and partitioning. Showcase specific examples of performance improvements you've achieved in previous projects.
Database Migration: Highlight your experience with database migrations, including any challenges faced and how you overcame them. Explain your approach to ensuring data security and compliance during migrations.
Database High Availability & Disaster Recovery: Provide examples of how you've implemented high availability and disaster recovery solutions for databases. Explain your approach to ensuring business continuity and minimizing data loss.
Database Automation & Infrastructure as Code: Showcase your experience with database automation, infrastructure as code (IaC) practices, and CI/CD pipelines. Explain how you've used these tools to improve database deployment and management.

Technical Documentation:

Database Architecture & Design: Document the database architecture and design for your most complex projects. Explain your decision-making process and how you ensured the databases were scalable, secure, and high-performing.
Database Migration Strategies: Detail your approach to database migrations, including any challenges faced and how you overcame them. Explain how you ensured data security, encryption, and compliance during migrations.
Database Performance Optimization Strategies: Document your approach to database performance optimization. Explain the techniques you used to improve query performance, indexing, and partitioning.

📝 Enhancement Note: For this role, it's essential to focus on your database performance optimization, migration, and high availability/disaster recovery projects. Highlight any challenges you faced and how you overcame them. Additionally, ensure that your portfolio demonstrates your ability to work collaboratively with other teams and stakeholders.

💵 Compensation & Benefits

Salary Range: PKR 1,500,000 - 2,500,000 per annum (Estimated based on market research and industry standards for mid-senior level AWS Database Engineers in Islamabad).

Benefits:

Health, dental, and vision insurance
Retirement savings plan with company match
Generous vacation and sick leave policy
Professional development opportunities, including AWS certifications and training
Flexible work arrangements, including remote work options and flexible hours
A dynamic and collaborative work environment with a diverse team of domain experts

Working Hours: 8:00 AM - 5:00 PM CST (6:00 PM - 3:00 AM PKT) with flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The estimated salary range for this role is based on market research and industry standards for mid-senior level AWS Database Engineers in Islamabad. Benefits may vary depending on the candidate's experience and qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud-native consultancy and AWS Advanced consulting partner specializing in providing bespoke cloud solutions to Startups & SMBs.

Company Size: Medium-sized company with an international footprint and a diverse team of domain experts.

Founded: 2022 (Based on company information)

Team Structure:

The AWS Database Engineer will work closely with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.
The team follows Agile methodologies, with regular sprint planning, code reviews, and testing practices.
The company encourages cross-functional collaboration and knowledge sharing between teams.

Development Methodology:

The team follows Agile/Scrum methodologies, with regular sprint planning and stand-up meetings.
Code reviews and testing are integral parts of the development process, ensuring code quality and performance.
Deployment strategies include CI/CD pipelines and automated deployment tools to ensure efficient and reliable database deployments.

Company Website: www.cloudelligent.com

📝 Enhancement Note: Cloudelligent is a cloud-native consultancy and AWS Advanced consulting partner, specializing in providing bespoke cloud solutions to Startups & SMBs. The company has an international footprint and a diverse team of domain experts, with a strong focus on customer obsession. The team follows Agile methodologies and encourages cross-functional collaboration and knowledge sharing.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level (5-10 years) AWS Database Engineer with a strong background in database administration and optimization in cloud environments, particularly on AWS. Experience with both SQL and NoSQL databases is essential, as is a solid understanding of backup strategies, monitoring tools, and security best practices.

Reporting Structure: The AWS Database Engineer will report directly to the Head of Engineering or a similar role, depending on the company's organizational structure. The role will collaborate closely with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.

Technical Impact: The AWS Database Engineer will have a significant impact on the company's data infrastructure, ensuring that databases are scalable, secure, and high-performing. The role will also play a crucial part in database migrations, modernizations, and optimizations, helping to improve the overall performance and reliability of the company's data systems.

Growth Opportunities:

Technical Leadership: As an experienced AWS Database Engineer, there is potential for growth into a technical leadership role, such as a Database Team Lead or Principal Database Engineer. This would involve mentoring junior team members, driving technical decision-making, and defining the company's database strategy.
Architecture & Design: With experience and expertise, the AWS Database Engineer could transition into a data architecture or data engineering role, focusing on designing and implementing large-scale data infrastructure solutions.
AWS Certification & Specialization: Cloudelligent encourages professional development and offers opportunities for AWS certifications and training. Pursuing AWS certifications, such as the AWS Certified Database – Specialty or AWS Certified Solutions Architect – Associate, can help the AWS Database Engineer advance their career and specialize in specific areas of interest.

📝 Enhancement Note: The AWS Database Engineer role at Cloudelligent offers significant growth opportunities, including technical leadership, architecture and design, and AWS certification and specialization. The company's focus on customer obsession and cross-functional collaboration creates an environment that supports career progression and professional development.

🌐 Work Environment

Office Type: Cloudelligent's office is a modern, collaborative workspace designed to foster innovation and creativity. The company encourages open communication and encourages employees to work together to solve problems and drive success.

Office Location(s): Islamabad, Pakistan (with remote work options available)

Workspace Context:

Collaborative Workspace: The office features open-plan workspaces, breakout areas, and meeting rooms designed to encourage collaboration and communication between team members.
State-of-the-art Technology: The office is equipped with the latest technology, including high-speed internet, multiple monitors, and testing devices, to ensure that employees have the tools they need to succeed.
Flexible Work Arrangements: Cloudelligent offers flexible work arrangements, including remote work options and flexible hours, to accommodate employees' personal and professional needs.

Work Schedule: The standard workweek is Monday through Friday, with flexibility for deployment windows, maintenance, and project deadlines. Cloudelligent offers a generous vacation and sick leave policy, allowing employees to maintain a healthy work-life balance.

📝 Enhancement Note: Cloudelligent's work environment is designed to be collaborative, innovative, and flexible. The company's focus on customer obsession and open communication creates a dynamic and engaging workspace that supports the growth and development of its employees.

📄 Application & Technical Interview Process

Interview Process:

Phone/Video Screen: A brief phone or video call to discuss the candidate's experience, qualifications, and career goals. This may include a brief technical assessment to evaluate the candidate's understanding of AWS Database Services and relevant tools.
Technical Deep Dive: A more in-depth technical interview focusing on the candidate's experience with AWS Database Services, database performance tuning, and migration strategies. This may include a hands-on exercise or case study to evaluate the candidate's problem-solving skills and technical expertise.
Behavioral & Cultural Fit: An interview focused on assessing the candidate's communication skills, problem-solving abilities, and cultural fit within the team and company. This may include questions about the candidate's approach to collaboration, communication, and working in a dynamic, customer-obsessed environment.
Final Decision: A final interview or discussion with the hiring manager or a member of the leadership team to make a hiring decision.

Portfolio Review Tips:

Database Performance Optimization: Highlight your ability to optimize database performance through indexing, query optimization, and partitioning. Provide specific examples of performance improvements you've achieved in previous projects.
Database Migration: Emphasize your experience with database migrations, including any challenges faced and how you overcame them. Explain your approach to ensuring data security, encryption, and compliance during migrations.
Database High Availability & Disaster Recovery: Showcase your experience with implementing high availability and disaster recovery solutions for databases. Explain your approach to ensuring business continuity and minimizing data loss.
Database Automation & Infrastructure as Code: Demonstrate your experience with database automation, infrastructure as code (IaC) practices, and CI/CD pipelines. Explain how you've used these tools to improve database deployment and management.

Technical Challenge Preparation:

AWS Database Services: Brush up on your knowledge of AWS Database Services, including RDS, Aurora, and DDS. Familiarize yourself with the latest features and best practices for managing and optimizing databases on AWS.
Database Performance Tuning: Review your understanding of database performance tuning, indexing strategies, partitioning, and query optimization. Practice solving performance tuning problems and optimizing SQL queries.
Database Migration Strategies: Refresh your knowledge of database migration strategies, including AWS Database Migration Service (DMS) and other migration tools. Familiarize yourself with best practices for ensuring data security, encryption, and compliance during migrations.
Communication & Problem-Solving: Prepare for behavioral and cultural fit interviews by practicing your communication skills and problem-solving abilities. Think about how you approach collaboration, communication, and working in a dynamic, customer-obsessed environment.

ATS Keywords:

AWS Database Services: Amazon RDS, Aurora, EC2, DMS, Redshift, DynamoDB, DocumentDB, Neptune, ElastiCache
Database Administration: PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, Redis
Database Performance Tuning: Indexing, Query Optimization, Partitioning, Performance Profiling, Explanation Plans, Slow Query Log
Database Migration: AWS Database Migration Service (DMS), AWS Schema Conversion Tool (SCT), AWS Database Migration Accelerator, AWS Database Migration Service (DMS) for High Velocity Migration
Infrastructure as Code: Terraform, CloudFormation, AWS CDK, Pulumi, Ansible, Jenkins, GitLab CI/CD
Monitoring Tools: CloudWatch, Prometheus, Grafana, New Relic, Datadog, Zabbix, Nagios
Data Security: IAM, VPC, Security Groups, Network ACLs, Encryption, Key Management Service (KMS), Cognito, AWS Secrets Manager
Soft Skills: Problem-Solving, Communication, Collaboration, Teamwork, Adaptability, Attention to Detail, Time Management

📝 Enhancement Note: The interview process for the AWS Database Engineer role at Cloudelligent is designed to evaluate the candidate's technical expertise, problem-solving abilities, and cultural fit within the team and company. The company encourages open communication and collaboration, with a focus on customer obsession and driving success together.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable for this role)

Backend & Server Technologies:

AWS Database Services: Amazon RDS, Aurora, EC2, DMS, Redshift, DynamoDB, DocumentDB, Neptune, ElastiCache
Relational Databases: PostgreSQL, MySQL, Oracle, SQL Server
NoSQL Databases: MongoDB, Cassandra, Redis
Server Platforms: Amazon EC2, AWS Lambda, AWS Fargate, AWS ECS, AWS EKS

Development & DevOps Tools:

Infrastructure as Code: Terraform, CloudFormation, AWS CDK, Pulumi, Ansible, Jenkins, GitLab CI/CD
Monitoring Tools: CloudWatch, Prometheus, Grafana, New Relic, Datadog, Zabbix, Nagios
Version Control: Git, GitHub, GitLab
Containerization: Docker, Kubernetes, Amazon ECS, Amazon EKS
Orchestration: AWS Step Functions, AWS EventBridge, AWS Glue, AWS Data Pipeline
CI/CD: Jenkins, GitLab CI/CD, AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy

📝 Enhancement Note: The technology stack for the AWS Database Engineer role at Cloudelligent is focused on AWS Database Services, relational databases, and NoSQL databases. The role requires expertise in managing, migrating, and modernizing database solutions on AWS, as well as experience with infrastructure as code tools, monitoring tools, and CI/CD pipelines.

👥 Team Culture & Values

Web Development Values:

Customer Obsession: Cloudelligent is customer-obsessed, and the AWS Database Engineer will play a crucial role in ensuring that the company's data infrastructure meets the needs of its customers.
Performance Optimization: The AWS Database Engineer will be responsible for optimizing database performance, ensuring that databases are scalable, secure, and high-performing.
Collaboration & Communication: The AWS Database Engineer will work closely with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions. Effective communication and collaboration are essential for success in this role.
Continuous Learning & Improvement: Cloudelligent encourages continuous learning and improvement, and the AWS Database Engineer will be expected to stay up-to-date with the latest features, best practices, and emerging technologies in database management and AWS.

Collaboration Style:

Cross-Functional Integration: The AWS Database Engineer will work closely with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions. This may involve collaborating on database design, implementation, and management, as well as working together to ensure that databases are integrated with other systems and services.
Code Review Culture: Cloudelligent follows a code review culture, with regular code reviews and testing practices to ensure code quality and performance.
Knowledge Sharing & Mentoring: The company encourages knowledge sharing and mentoring, with regular team meetings, training sessions, and one-on-one coaching opportunities.

📝 Enhancement Note: Cloudelligent's team culture is focused on customer obsession, performance optimization, collaboration, and continuous learning. The company encourages open communication, cross-functional integration, and knowledge sharing, with a strong emphasis on driving success together.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Database Performance Optimization: Designing and implementing database performance optimization strategies, including indexing, query optimization, and partitioning, to ensure that databases are scalable, secure, and high-performing.
Database Migration: Migrating databases from on-premises or other cloud environments to AWS, ensuring data security, encryption, and compliance during the migration process.
Database High Availability & Disaster Recovery: Implementing high availability and disaster recovery solutions for databases, ensuring business continuity and minimizing data loss in the event of a disaster or outage.
Emerging Technologies: Staying up-to-date with the latest features, best practices, and emerging technologies in database management and AWS, and incorporating them into the company's data infrastructure.

Learning & Development Opportunities:

AWS Certification: Pursuing AWS certifications, such as the AWS Certified Database – Specialty or AWS Certified Solutions Architect – Associate, can help the AWS Database Engineer advance their career and specialize in specific areas of interest.
Conferences & Events: Attending industry conferences, webinars, and meetups to stay up-to-date with the latest trends, best practices, and emerging technologies in database management and AWS.
Technical Mentoring: Seeking out mentorship opportunities from experienced team members, industry experts, or online communities to gain insights, guidance, and support in developing your technical skills and career.

📝 Enhancement Note: The AWS Database Engineer role at Cloudelligent presents significant technical challenges and growth opportunities. The company encourages continuous learning and improvement, with a focus on staying up-to-date with the latest features, best practices, and emerging technologies in database management and AWS.

💡 Interview Preparation

Technical Questions:

AWS Database Services: Describe your experience with AWS Database Services, including Amazon RDS, Aurora, and DMS. Explain how you've used these services to manage, migrate, and optimize databases in cloud environments.
Database Performance Tuning: Walk through your approach to database performance tuning, indexing strategies, partitioning, and query optimization. Provide specific examples of performance improvements you've achieved in previous projects.
Database Migration: Discuss your experience with database migrations, including any challenges faced and how you overcame them. Explain your approach to ensuring data security, encryption, and compliance during migrations.

Company & Culture Questions:

Cloudelligent's Focus on Customer Obsession: How do you ensure that the data infrastructure you design and manage meets the needs of Cloudelligent's customers? Can you provide an example of a time when you went above and beyond to ensure customer satisfaction?
Collaboration & Communication: Describe your experience working with data architects, engineers, and DevOps teams. How do you ensure effective communication and collaboration, especially when working on complex projects or tight deadlines?
Continuous Learning & Improvement: How do you stay up-to-date with the latest features, best practices, and emerging technologies in database management and AWS? Can you provide an example of a time when you learned a new skill or technology and applied it to a project or challenge?

Portfolio Presentation Strategy:

Database Performance Optimization: Highlight your ability to optimize database performance through indexing, query optimization, and partitioning. Provide specific examples of performance improvements you've achieved in previous projects.
Database Migration: Emphasize your experience with database migrations, including any challenges faced and how you overcame them. Explain your approach to ensuring data security, encryption, and compliance during migrations.
Database High Availability & Disaster Recovery: Showcase your experience with implementing high availability and disaster recovery solutions for databases. Explain your approach to ensuring business continuity and minimizing data loss.

📝 Enhancement Note: The interview process for the AWS Database Engineer role at Cloudelligent is designed to evaluate the candidate's technical expertise, problem-solving abilities, and cultural fit within the company. The company encourages open communication and collaboration, with a focus on customer obsession and driving success together.

📌 Application Steps

To apply for this AWS Database Engineer position at Cloudelligent:

Customize Your Portfolio: Tailor your portfolio to showcase your database performance optimization, migration, and high availability/disaster recovery projects. Highlight any challenges you faced and how you overcame them, and explain your approach to ensuring data security, encryption, and compliance during migrations.
Optimize Your Resume: Highlight your relevant experience with AWS Database Services, database performance tuning, and migration strategies. Include any relevant certifications, such as AWS Certified Database – Specialty or AWS Certified Solutions Architect – Associate, and emphasize your problem-solving skills, communication abilities, and cultural fit.
Prepare for Technical Interviews: Brush up on your knowledge of AWS Database Services, database performance tuning, and migration strategies. Practice solving performance tuning problems and optimizing SQL queries. Familiarize yourself with Cloudelligent's technology stack, team culture, and company values.
Research Cloudelligent: Learn about Cloudelligent's focus on customer obsession, open communication, and collaboration. Understand the company's mission, vision, and values, and be prepared to discuss how you align with these principles.

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

AWS Database Engineer