Devops engineer, ips

OverviewScale’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:Creating custom AI applications that will impact millions of citizensGenerating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AIAs a Software Engineer (Infrastructure), 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.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.ResponsibilitiesBackend 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.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.Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, Cloud Formation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.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.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.Ideal candidateA strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)3+ years of post-graduation engineering experience, with a focus on back-end systemsExtensive 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 projectsExperience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.Strong knowledge of software engineering best practices and CI/CD tooling (Circle CI, Github Actions)Solid foundation and real-world experience in network engineeringNice to haveExperience working cross functionally with operationsExperience building solutions with LLMs and a deep understanding of the overall Gen AI landscapeExperience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)Experience with authentication/authorization systems (Zanzibar, Authz, etc.)Experience with No SQL document databases (Mongo DB) and structured databases (Postgres)Experience with hybrid or on-prem systemsExperience with orchestration platforms, such as Temporal and AWS Step FunctionsPLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About UsAt Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as Open AI, Meta, and Microsoft, government agencies like the U. S. Army and U. S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process