About Kodifly:
Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle.
Job Description:
We are looking for a DevOps Engineer with a strong focus on building internal tools, CI/CD pipelines, and scalable infrastructure that supports both edge and cloud applications. This role is critical to enabling the productivity of our AI and software engineering teams. Your contributions will empower our developers to build, deploy, and iterate on complex systems that rely on real-time spatial data processing, ultimately powering smarter, safer cities.
Key Responsibilities:
Design, implement, and maintain scalable and reliable infrastructure solutions for both edge and cloud environments.
Develop and maintain CI/CD pipelines to ensure seamless, efficient software delivery.
Monitor and optimize system performance, ensuring high availability, scalability, and reliability.
Implement infrastructure as code using tools like Terraform or CloudFormation.
Automate routine tasks to enhance operational efficiency and reduce manual intervention.
Conduct regular system audits and security assessments to proactively address vulnerabilities.
Troubleshoot and resolve infrastructure and deployment issues promptly.
Collaborate with cross-functional teams to drive continuous improvement, innovation, and effective software releases.
Participate in the design and development of new features leveraging advanced computer vision to enhance digital twin capabilities.
Analyze performance data and iterate on solutions to improve accuracy and robustness in spatial data handling.
Stay up-to-date with the latest trends and best practices in DevOps, cloud technologies, and computer vision.
Qualifications:
Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field
Proficiency in creating applications for the cloud and edge
3 plus years of proven experience as a DevOps Engineer or in a similar role
Experience with ROS software and methodologies.
Proficient in scripting and programming languages such as C++, Python, or similar.
Excellent analytical, problem-solving, and communication skills.
Team-oriented with an ability to work in a collaborative environment.
Solid understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and associated services.
Experience with configuration management tools (e.g., Ansible, Puppet, Chef).
Proficiency in containerization technologies such as Docker and Kubernetes.
Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., Jira, Confluence).
Familiarity with monitoring and log aggregation tools (e.g., Prometheus, ELK stack).
Strong understanding of networking concepts and protocols.
Excellent problem-solving and troubleshooting skills.
Ability to work independently and collaboratively in a fast-paced and dynamic environment.
Strong communication and interpersonal skills.
We Offer:
Opportunity to work with state-of-the-art technology in a rapidly evolving field.
A collaborative environment where innovation is encouraged and rewarded.
Competitive salary and share options
Professional and personal development opportunities and a chance to make a significant impact in infrastructure safety and efficiency.
Join Us at Kodifly: If you’re ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology! 🚀
