Senior Cloud Engineer – AWS & Data Lake DBA

📍 Job Overview

• Job Title: Senior Cloud Engineer – AWS & Data Lake DBA
• Company: Bitdeer Technologies Group
• Location: Singapore
• Job Type: Full-Time
• Category: DevOps Engineer
• Date Posted: 2025-06-11
• Experience Level: 5-10 years
• Remote Status: On-site

🚀 Role Summary

• 📝 Enhancement Note: This role combines cloud infrastructure management, data lake architecture, and database administration, requiring a broad skill set in AWS services, data management, and cloud operations.

• Manage and maintain cloud infrastructure (AWS) while ensuring reliability, performance, and cost-efficiency.

• Build and maintain scalable, secure, and cost-effective Data Lake architecture using services such as Amazon S3, AWS Glue, Lake Formation, and Athena.

• Administer large-scale database platforms (RDS, Redshift, EMR, DynamoDB) and perform backup/recovery, tuning, and upgrades.

• Collaborate with cross-functional teams to meet analytical and operational data needs while ensuring data quality, security, and compliance.

💻 Primary Responsibilities

• 📝 Enhancement Note: This role involves a mix of technical, operational, and collaborative responsibilities, requiring strong problem-solving skills and the ability to work effectively with various teams.

• Manage and maintain cloud infrastructure (AWS) focusing on reliability, performance, and cost-efficiency.

• Build and maintain scalable, secure, and cost-effective Data Lake architecture using services such as Amazon S3, AWS Glue, Lake Formation, and Athena.

• Administer large-scale database platforms (RDS, Redshift, EMR, DynamoDB) and perform backup/recovery, tuning, and upgrades.

• Automate infrastructure provisioning and operations using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.

• Design and operate ETL/ELT pipelines for ingesting data into the data lake.

• Ensure data quality, security, access control, and compliance for all lake-stored data.

• Ensure data platforms are highly available, backed up, and meet disaster recovery requirements.

• Implement and maintain monitoring, alerting, and logging solutions for infrastructure, pipelines, and data workloads.

• Participate in on-call rotation for cloud operations and database issue escalation.

• Work cross-functionally with data engineers, developers, and product teams to meet analytical and operational data needs.

• Collaborate with security teams to ensure compliance and best practices are followed for data protection and cloud resource access.

🎓 Skills & Qualifications

Education:

• Bachelor's degree or above in Computer Science, Information Systems, or a related field.

Experience:

• Over 5 years of experience in cloud operations, with a focus on AWS.
• In-depth knowledge of AWS services including S3, Glue, Lake Formation, Redshift, Athena, EMR, IAM, and CloudWatch.
• Solid hands-on experience with designing and managing Data Lake and big data analytics platforms.
• Strong experience in managing relational and NoSQL databases (e.g., PostgreSQL, MySQL, DynamoDB).

Required Skills:

• Strong scripting and automation skills in Python, Bash, or Go.
• Familiar with tools such as Terraform, Ansible, Jenkins, Git, etc.
• Experienced in setting up monitoring and cost optimization for AWS-based infrastructure.
• Understanding of security, encryption, data governance, and compliance best practices for public cloud data platforms.

Preferred Skills:

• AWS Certified Solutions Architect – Associate/Professional.
• AWS Certified Data Analytics – Specialty or Database – Specialty.
• Experience with modern data stack tools (e.g., Apache Iceberg, Delta Lake, dbt) is a plus.
• Kubernetes or containerization certification is preferred.

📊 Web Portfolio & Project Requirements

• 📝 Enhancement Note: While not explicitly stated, demonstrating experience with AWS services, data lake architecture, and database management through relevant projects and case studies will be crucial for this role.

• Portfolio Essentials:

  • Demonstrate experience with AWS services such as S3, Glue, Lake Formation, and Athena through relevant projects.
  • Showcase your ability to design and manage scalable, secure, and cost-effective data lake architecture.
  • Highlight your experience with database administration, including backup/recovery, tuning, and upgrades.
  • Display your proficiency in scripting and automation skills using Python, Bash, or Go.

• Technical Documentation:

  • Provide documentation showcasing your experience with Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.
  • Include case studies or examples demonstrating your ability to design and operate ETL/ELT pipelines.
  • Showcase your understanding of data quality, security, access control, and compliance through relevant projects.

💵 Compensation & Benefits

• 📝 Enhancement Note: Salary range for this role in Singapore typically falls between SGD 120,000 and SGD 180,000 per year, based on industry standards and the required level of experience.

• Salary Range: SGD 120,000 - SGD 180,000 per year

• Benefits:

  • A culture that values authenticity and diversity of thoughts and backgrounds.
  • An inclusive and respectable environment with open workspaces and exciting start-up spirit.
  • Fast-growing company with the chance to network with industrial pioneers and enthusiasts.
  • Ability to contribute directly and make an impact on the future of the digital asset industry.
  • Involvement in new projects, developing processes/systems.
  • Personal accountability, autonomy, fast growth, and learning opportunities.
  • Attractive welfare benefits and developmental opportunities such as training and mentoring.

• Working Hours: 40 hours per week, with flexible hours for deployment windows, maintenance, and project deadlines.

🎯 Team & Company Context

🏢 Company Culture

• Industry: Bitdeer Technologies Group operates in the digital asset industry, focusing on Bitcoin mining and cloud computing services.

• Company Size: Bitdeer is a fast-growing company with a start-up spirit, offering an inclusive and respective environment with open workspaces.

• Founded: Bitdeer was founded in 2018 and is headquartered in Singapore.

• Team Structure:

  • The cloud engineering team consists of experienced professionals focusing on AWS services, data lake architecture, and database administration.
  • The team works cross-functionally with data engineers, developers, and product teams to meet analytical and operational data needs.
  • The team structure is hierarchical, with clear reporting lines and opportunities for growth and leadership.

• Development Methodology:

  • Bitdeer follows Agile methodologies, with a focus on iterative development, continuous integration, and collaboration.
  • The company emphasizes automation, monitoring, and cost optimization for its cloud infrastructure and data platforms.
  • Bitdeer encourages a culture of learning and innovation, with opportunities for professional development and growth.

• Company Website: Bitdeer Technologies Group

📈 Career & Growth Analysis

• Web Technology Career Level: This role is suitable for experienced cloud engineers with a strong background in AWS services, data lake architecture, and database administration. The role offers opportunities for growth and leadership within the team and the organization.

• Reporting Structure: The senior cloud engineer reports directly to the manager of the cloud engineering team and works closely with cross-functional teams, including data engineers, developers, and product teams.

• Technical Impact: The senior cloud engineer plays a critical role in ensuring the reliability, performance, and security of Bitdeer's cloud infrastructure and data platforms. Their work directly impacts the company's ability to deliver high-quality services to its customers.

• Growth Opportunities:

  • Growth opportunity 1: Develop expertise in emerging AWS services and data management technologies to stay ahead of industry trends and drive innovation within the team.
  • Growth opportunity 2: Mentor junior team members and contribute to the development of the team's skills and knowledge through training and knowledge-sharing initiatives.
  • Growth opportunity 3: Take on leadership roles within the team or the organization, driving strategic decisions and contributing to the company's long-term success.

🌐 Work Environment

• Office Type: Bitdeer's office is an open workspace that encourages collaboration and innovation. The company fosters a start-up spirit, with a focus on personal accountability, autonomy, and growth.

• Office Location(s): Bitdeer's headquarters is located in Singapore. The company has deployed datacenters in the United States, Norway, and Bhutan.

• Workspace Context:

  • Workspace aspect 1: The open workspace encourages collaboration and knowledge-sharing among team members and across different teams.
  • Workspace aspect 2: Bitdeer provides state-of-the-art equipment and tools to support its team members' productivity and growth.
  • Workspace aspect 3: The company fosters a culture of continuous learning and improvement, with opportunities for professional development and growth.

• Work Schedule: Bitdeer offers flexible working hours, with a focus on delivering results and meeting project deadlines. The company encourages a healthy work-life balance and provides opportunities for remote work when necessary.

📄 Application & Technical Interview Process

• Interview Process:

  • Process step 1: Technical assessment focusing on AWS services, data lake architecture, and database administration. Prepare for hands-on exercises and case studies demonstrating your experience with relevant tools and technologies.
  • Process step 2: System design discussion focusing on your ability to design and manage scalable, secure, and cost-effective data lake architecture. Prepare for questions about data management, data quality, and data security.
  • Process step 3: Cultural fit assessment focusing on your ability to work effectively with cross-functional teams and contribute to Bitdeer's start-up spirit. Prepare for questions about your problem-solving skills, communication, and collaboration.
  • Process step 4: Final evaluation criteria focusing on your technical skills, cultural fit, and alignment with Bitdeer's values and mission.

• Portfolio Review Tips:

  • Portfolio tip 1: Highlight your experience with AWS services, data lake architecture, and database administration through relevant projects and case studies.
  • Portfolio tip 2: Demonstrate your ability to design and manage scalable, secure, and cost-effective data lake architecture through architecture diagrams, data flow diagrams, and other relevant documentation.
  • Portfolio tip 3: Showcase your proficiency in scripting and automation skills using Python, Bash, or Go through code samples, scripts, and other relevant examples.
  • Portfolio tip 4: Highlight your understanding of data quality, security, access control, and compliance through relevant projects and case studies.

• Technical Challenge Preparation:

  • Challenge preparation 1: Familiarize yourself with AWS services, including S3, Glue, Lake Formation, and Athena, and be prepared to discuss their use cases and best practices.
  • Challenge preparation 2: Brush up on your data management, data quality, and data security knowledge, and be prepared to discuss emerging trends and best practices in the industry.
  • Challenge preparation 3: Prepare for hands-on exercises and case studies focusing on your ability to design and manage scalable, secure, and cost-effective data lake architecture.

• ATS Keywords:

  • Programming Languages: Python, Bash, Go
  • Web Frameworks: AWS services (S3, Glue, Lake Formation, Athena, EMR, IAM, CloudWatch)
  • Server Technologies: AWS (RDS, Redshift, EMR, DynamoDB)
  • Databases: PostgreSQL, MySQL, DynamoDB
  • Tools: Terraform, Ansible, Jenkins, Git
  • Methodologies: Infrastructure-as-Code (IaC), Agile, DevOps
  • Soft Skills: Problem-solving, communication, collaboration, leadership
  • Industry Terms: Data Lake, Big Data, Cloud Computing, Data Management, Data Quality, Data Security

🛠 Technology Stack & Web Infrastructure

• Frontend Technologies: N/A (This role focuses on backend and infrastructure technologies)

• Backend & Server Technologies:

  • Backend technology 1: AWS services (S3, Glue, Lake Formation, Athena, EMR, IAM, CloudWatch)
  • Server technology 2: AWS (RDS, Redshift, EMR, DynamoDB)
  • Infrastructure tool 3: Terraform, AWS CloudFormation

• Development & DevOps Tools:

  • Development tool 1: Git
  • DevOps tool 2: AWS CloudFormation, Terraform
  • Monitoring tool 3: AWS CloudWatch, Prometheus, Grafana

👥 Team Culture & Values

• Web Development Values:

  • Web development value 1: Bitdeer values authenticity and diversity of thoughts and backgrounds, fostering an inclusive and respective environment for its team members.
  • Web development value 2: The company encourages a start-up spirit, with a focus on personal accountability, autonomy, and growth.
  • Web development value 3: Bitdeer emphasizes collaboration and knowledge-sharing, with open workspaces and opportunities for professional development and growth.
  • Web development value 4: The company encourages a culture of learning and innovation, with opportunities for mentoring and contributing to the development of the team's skills and knowledge.

• Collaboration Style:

  • Collaboration approach 1: Bitdeer fosters a culture of cross-functional collaboration, with open workspaces and opportunities for knowledge-sharing among team members and across different teams.
  • Collaboration approach 2: The company encourages a culture of code review and peer programming, with a focus on continuous learning and improvement.
  • Collaboration approach 3: Bitdeer provides opportunities for mentoring and professional development, with a focus on driving the team's and the organization's success.

⚡ Challenges & Growth Opportunities

• Technical Challenges:

  • Web development challenge 1: Design and manage scalable, secure, and cost-effective data lake architecture using AWS services such as S3, Glue, Lake Formation, and Athena.
  • Web development challenge 2: Administer large-scale database platforms (RDS, Redshift, EMR, DynamoDB) and perform backup/recovery, tuning, and upgrades while ensuring data quality, security, and compliance.
  • Web development challenge 3: Automate infrastructure provisioning and operations using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation while ensuring cost optimization and efficiency.
  • Web development challenge 4: Implement and maintain monitoring, alerting, and logging solutions for infrastructure, pipelines, and data workloads while ensuring high availability, backup, and disaster recovery requirements.

• Learning & Development Opportunities:

  • Learning opportunity 1: Develop expertise in emerging AWS services and data management technologies to stay ahead of industry trends and drive innovation within the team.
  • Learning opportunity 2: Contribute to the development of the team's skills and knowledge through training and knowledge-sharing initiatives, such as mentoring junior team members or leading workshops and presentations.
  • Learning opportunity 3: Take on leadership roles within the team or the organization, driving strategic decisions and contributing to the company's long-term success.

💡 Interview Preparation

• Technical Questions:

  • Technical question 1: Describe your experience with AWS services such as S3, Glue, Lake Formation, and Athena, and discuss their use cases and best practices.
  • Technical question 2: Walk us through your process for designing and managing scalable, secure, and cost-effective data lake architecture using AWS services.
  • Technical question 3: Explain your approach to data quality, security, access control, and compliance, and provide examples of how you've addressed these challenges in previous roles.

• Company & Culture Questions:

  • Technical question 4: How do you approach working with cross-functional teams, and what strategies do you use to ensure effective collaboration and communication?
  • Technical question 5: Describe your experience with Agile methodologies, and how you've applied them in previous roles to drive continuous improvement and innovation.
  • Technical question 6: How do you ensure that your work aligns with Bitdeer's values and mission, and what strategies do you use to contribute to the company's success?

• Portfolio Presentation Strategy:

  • Presentation strategy 1: Highlight your experience with AWS services, data lake architecture, and database administration through relevant projects and case studies.
  • Presentation strategy 2: Demonstrate your ability to design and manage scalable, secure, and cost-effective data lake architecture through architecture diagrams, data flow diagrams, and other relevant documentation.
  • Presentation strategy 3: Showcase your proficiency in scripting and automation skills using Python, Bash, or Go through code samples, scripts, and other relevant examples.

📌 Application Steps

To apply for this Senior Cloud Engineer – AWS & Data Lake DBA position:

• Submit your application through the application link provided in the job listing.
• Concrete preparation step 1: Tailor your resume and portfolio to highlight your experience with AWS services, data lake architecture, and database administration, emphasizing relevant projects and case studies.
• Concrete preparation step 2: Brush up on your knowledge of AWS services, data management, data quality, and data security, and be prepared to discuss emerging trends and best practices in the industry.
• Concrete preparation step 3: Prepare for hands-on exercises and case studies focusing on your ability to design and manage scalable, secure, and cost-effective data lake architecture using AWS services.
• Concrete preparation step 4: Research Bitdeer's company culture, values, and mission, and be prepared to discuss how your skills and experience align with the company's goals and objectives.

⚠️ 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.