DevOps Engineer, GPS
Remote • Dubai, UAE; Riyadh, Saudi Arabia
Posted 1mo ago
Job Location
Dubai, UAE; Riyadh, Saudi Arabia
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Infrastructure Engineer
About the job
Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector worldwide. We create custom AI applications impacting millions of citizens, generate high-quality training data for national LLMs, and provide upskilling and advisory services to spread AI's impact. As a DevOps Engineer, you will design and develop core platforms and software systems, supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure. We are enabling the public sector to transform operations and better serve citizens through cutting-edge technology.
Responsibilities
- Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure.
- Own services or systems, define long-term health goals, and improve the health of surrounding components.
- Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments.
- Enhance engineering standards, tooling, and processes to maintain high-quality outputs.
- Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management.
- Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.
- Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes.
- Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.
- Develop and test disaster recovery plans with robust backups and failover mechanisms.
- Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.
Requirements
- A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience).
- 5+ years of post-graduation engineering experience, with a focus on back-end systems.
- Proficiency in at least one of Python, Typescript, Javascript, or C++.
- Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred).
- Track record of independent ownership of successful engineering projects.
- Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions).
- Solid foundation and real-world experience in network engineering.