Cloud Infrastructure Engineer

Gigalogy is focused on disrupting the utilization of Artificial Intelligence to enhance customer satisfaction for businesses. This ideology serves as the foundation for our product development process.

Our AI platform delivers turnkey AI solutions that can be seamlessly integrated into any application, ensuring minimal effort and maximum efficacy. Our goal is to revolutionize the digital experience by supporting companies in crafting an AI vision and strategy.

As we continue to expand our footprint, we are seeking a results-driven Cloud Infrastructure Engineer for our Dhaka office.

We are looking for Cloud Infrastructure Engineer who will be responsible for the Gigalogy AI Platform's automated infrastructure core development, aligning with our vision, roadmap, and goals. An Ideal candidate is someone who has experience working within the AWS/GCP/Azure ecosystem, designing and implementing cloud infrastructure as code, as well as building CI/CD pipelines.

Our mission is to make the usage of technology meaningful, easy to use for everyone. We want you to be enthusiastic about new challenges, solving problems, keeping user experience at the core, and building scalable infrastructure that can handle massive data to produce real-time insights.

Responsibilities

• Monitor the cloud services to ensure optimal performance and reliability.

• Design and improve components of the Gigalogy's cloud AI infrastructure, including the 24/7 monitoring system.

• Design and implement CI/CD pipelines for Gigalogy products to ensure continuous integration and delivery.

• Build Application Performance Monitoring (APM) systems to ensure the platform's reliability and responsiveness.

• Plan and implement optimizations for network/compute/storage systems to maximize efficiency and scalability.

• Propose new ideas and techniques that can improve the efficiency of existing systems and infrastructure.

• Build technical documentation and contribute to Gigalogy's internal knowledge and codebases to promote knowledge sharing and innovation.

• 3 to 5 years of experience in software engineering, including at least 1 year of experience designing and implementing scalable application architectures on the AWS, GCP, or Azure ecosystem.

• Proficiency with DNS servers, Web Application Firewall (WAF), and Virtual Private Cloud (VPC) is a must.

• Hands-on experience with containerization technologies, specifically Docker and Docker Compose.

• Proficiency with Cluster, Auto-scaling, and Load balancer configurations in cloud environments.

• Strong background in Linux system administration.

• Demonstrated experience in developing applications using Python.

• Ability to effectively communicate and present architectural designs in a visual format for varied audiences.

What We Offer

• An opportunity to work with a Tokyo-based startup and contribute to a truly innovative AI-based service.
• A meaningful role in building real-world AI products with global market reach — not just prototypes.
• A collaborative, people-focused work environment where contributions are visible and valued.
• Salary range is from 80,000 BDT to 120,000 BDT / month.
• Salary review is conducted twice a year.
• Performance bonus twice a year.
• Complimentary meals and snacks.
• Comprehensive health insurance coverage.
• Travel Allowance
• Access to necessary learning materials for skill development to support your growth and advancement.

Working Days: Sunday to Thursday, 5 days/week (Hybrid)
Working Hours: 9:00 am - 6:00 pm (BDST).
Location: House 1148, Road 9/A, Avenue 10, Mirpur DOHS, Dhaka-1216, Bangladesh.