Jobs at Learnosity

Design, build, support, and architect backend-focused full-stack software for Learnosity AI Labs. Responsibilities include delivering products from ideation through release, planning and estimating work, collaborating with stakeholders, maintaining documentation, troubleshooting complex issues, and developing scalable solutions. The role requires strong Python web development, database, testing, backend architecture, and Agile experience, with preferred exposure to AI, data warehousing, AWS data technologies, Docker, React, CI/CD, and startup environments.

Staff Software Engineer responsible for building Learnosity’s AI-first Upskill product from zero to production. The role involves daily Python development, backend architecture, resolving complex cross-stack issues, supporting three engineering pods, advising technical leadership, mentoring developers, and establishing consistent engineering practices. The engineer will contribute across the full product lifecycle, including planning, estimation, deployment, documentation, and scaling, while working with technologies such as databases, CI/CD, Terraform, Kubernetes, and TypeScript.

Designs, builds, tests, and ships full-stack software for Learnosity’s cloud-based assessment API toolkit. The role spans React and JavaScript front-end development, PHP and Python back-end services, database and search optimization, AWS infrastructure, and end-to-end feature ownership. Responsibilities include technical planning, architecture, debugging, testing, code review, mentoring, stakeholder collaboration, and introducing AI-assisted development and other technologies. The role is Dublin-based, requires regular office attendance, and includes an approximately one-week-on-call rotation every four to six weeks.

Provides hands-on internal IT support for the Dublin office and global employees. Responsibilities include troubleshooting hardware, software, accounts, networking, and user access; managing onboarding and offboarding; administering Google Workspace, Microsoft 365, Azure Active Directory, Jamf, and Intune; maintaining asset records and documentation; configuring equipment; and resolving Zendesk tickets.

Leads Learnosity’s distributed Platform Engineering team across Australia and Dublin. Responsibilities include people leadership, backlog and roadmap ownership, platform technology decisions, delivery management, CloudOps partnership, stakeholder communication, and engineering standards. The role requires strong AWS, infrastructure automation, CI/CD, containerization, observability, and Python expertise, while translating technology strategy into reliable platform improvements and developer enablement.

The Senior CloudOps Engineer will manage and enhance cloud infrastructure on AWS, automate processes, optimize performance, troubleshoot issues, and work collaboratively with cross-functional teams.

Build and maintain highly available, scalable, and secure AWS cloud infrastructure for AI-powered assessment products. Develop infrastructure provisioning, configuration, automation, and release systems using Terraform, Ansible, Docker, GitHub Actions, and Linux. Support live production systems, databases, monitoring, and deployments while collaborating across engineering, product, and design teams. Lead infrastructure projects involving planning, orchestration, migration, deployment, and delivery.