DevOps Engineer, IPS

<p>Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:</p> <ul> <li>Creating custom AI applications that will impact millions of citizens</li> <li>Generating high-quality training data for national LLMs</li> <li>Upskilling and advisory services to spread the impact of AI</li> </ul> <p>As a DevOps Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure.</p> <p>At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.</p> <p><strong>You will:</strong></p> <ul> <li>Backend Development and System Ownership: 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.</li> <li>Collaboration and Standards: 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.</li> <li>Infrastructure Automation and Management: 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.</li> <li>Deployment and Scalability: 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.</li> <li>Disaster Recovery and Hybrid Strategies: 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.</li> </ul> <p><strong>Ideally you’d have:</strong></p> <ul> <li>A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li> <li>5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++</li> <li>Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)</li> <li>Track record of independent ownership of successful engineering projects</li> <li>Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.</li> <li>Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)</li> <li>Solid foundation and real-world experience in network engineering</li> </ul> <p><strong>Nice to haves:</strong></p> <ul> <li>Experience working cross functionally with operations</li> <li>Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape</li> <li>Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dags ... (truncated, view full listing at source)