Devops engineer, gps

About the Role As a Dev Ops 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. 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. Responsibilities 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. 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. 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 and 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 (Circle CI , Github Actions ). Solid foundation and real-world experience in network engineering. Nice to Haves Experience working cross functionally with operations. Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape. Experience 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 systems. Experience with orchestration platforms, such as Temporal and AWS Step Functions . #J-18808-Ljbffr