DevOps Engineer, GPS📣 Job Ad

About the Role

A DevOps Engineer at Scale AI works on designing and developing the foundational platforms and software systems to support the growing global Public Sector team. This role focuses on addressing critical challenges faced by government organizations by developing custom AI applications, providing high-quality training data for national large language models, and offering consulting services to enhance AI adoption. The role aims to empower the public sector to transform its operations and better serve citizens using advanced technology.

Key Responsibilities

• Design and implement secure, scalable backend systems for clients, focusing on modern cloud-native AI infrastructure, taking ownership of services or systems and defining long-term health objectives.
• Collaborate with cross-functional teams to identify and implement backend and infrastructure solutions tailored for secure environments.
• Optimize engineering standards, tooling, and processes to ensure high-quality output is maintained.
• Write and maintain infrastructure as code (IaC) templates, such as Terraform and CloudFormation, for automation and cloud resource management.
• Manage network architecture, including secure Virtual Private Clouds (VPCs), Virtual Private Networks (VPNs), load balancers, and firewalls within cloud environments.
• Design and optimize Continuous Integration/Continuous Deployment (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, incorporating robust backup and failover mechanisms.
• Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multi-cloud provider environments.

Qualifications and Requirements

• Strong engineering background, supported by a Bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience.
• At least 5 years of post-graduate engineering experience, with a significant focus on backend systems.
• Proficiency in at least one of the following programming languages: Python, Typescript, Javascript, or C++.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms, with a preference for AWS and Azure.
• Proven track record of independent ownership and successful completion of engineering projects.
• Hands-on experience working fluently with standard containerization and deployment technologies such as Kubernetes and Terraform and Docker.
• Strong knowledge of software engineering best practices and CI/CD tooling, including CircleCI and Github Actions.
• Solid foundation and practical experience in network engineering.

Technical Skills

• Backend Development
• Systems Ownership
• AI Cloud-Native Infrastructure
• Orchestration
• Data Abstraction
• Data Pipelines
• Identity & Access Management
• Security Tools
• Cloud Infrastructure Management
• Infrastructure as Code (IaC) using Terraform and CloudFormation
• Network Architecture (VPCs, VPNs, Load Balancers, Firewalls)
• CI/CD Pipeline Design and Optimization
• Containerized Applications and Orchestration (Kubernetes)
• Disaster Recovery Planning (Backups, Failover Mechanisms)
• Hybrid and Multi-Cloud Strategies
• Programming Languages: Python, Typescript, Javascript, C++
• Distributed Systems
• Public Cloud Platforms (AWS, Azure)
• Containerization Technologies (Docker)
• CI/CD Tooling (CircleCI, Github Actions)
• Network Engineering
• Operations
• Experience with Large Language Models (LLMs) and Generative AI (Gen AI) landscape
• Data Warehouses such as Snowflake and Firebolt
• Data Pipeline/ETL tools such as Dagster and dbt
• Authentication/Authorization Systems such as Zanzibar and Authz
• NoSQL Document Databases such as MongoDB
• Structured Databases such as Postgres
• Hybrid or On-prem Systems
• Orchestration Platforms such as Temporal and AWS Step Functions

Work Environment and Location

This is a full-time position located in Riyadh, Saudi Arabia. The role requires 5-10 years of experience.

Additional Information

Scale AI is committed to developing trustworthy AI systems to support critical decisions globally. Our products provide high-quality data and integrated technologies that power world-leading models, helping organizations and governments build, deploy, and oversee impactful AI applications. Scale AI collaborates with industry leaders and government agencies worldwide. We are looking to expand our team to accelerate AI application development.

Scale AI applies equal opportunity and inclusion hiring policies, and is committed to working with and providing reasonable accommodations for applicants with disabilities. Personal data is collected for employment-related purposes and career opportunities, and is processed in accordance with internal privacy policies and applicable laws.