Learning Systems Engineer

This is a fully remote position, open to applicants in South Africa.

📋 Description

• Confirm that code, technical activities, and model solutions operate successfully from end to end in the designated target environment prior to formal content and academic evaluation.

• Conduct tests on integrations involving learning storyboards, externally developed code, repositories, learner environments, and the Canvas learning management system.

• Detect technical gaps, dependency problems, and failure points where learning content, code, and platform components intersect.

• Establish and oversee learner repositories, environment configurations, API connections, and supporting developer tools across cohorts.

• Ensure learner environments are stable, reproducible, and properly version-controlled throughout both development and live delivery phases.

• Define explicit technical acceptance criteria for work completed by external technical contributors and evaluate their outputs against these standards.

• Offer primary technical support to learners during live delivery, diagnosing and addressing environment, code, and integration issues in real time.

• React swiftly to technical incidents during delivery periods to ensure that learning sessions can proceed with minimal interruptions.

• Mentor Learning Experience Designers and other non-technical colleagues in the confident use of Git, AI-assisted workflows, and developer environments in their daily tasks.

• Develop lightweight internal automations and AI-assisted routines that minimize repetitive testing, validation, and build activities.

• Provide practical technical insights into decisions regarding portfolio publishing, development environments, and other aspects of the learning technology stack.

⛳️ Requirements

• Proven experience in software testing, technical quality assurance, code review, or a closely related engineering role.

• Strong capability to read, execute, test, and debug code written by other developers.

• Proficiency in Python and confidence in troubleshooting dependency, configuration, and runtime issues.

• Practical knowledge of AI application patterns, including large language model APIs, retrieval-augmented generation, and agent-based workflows.

• Expertise in Git-based development workflows, repository management, and continuous integration and deployment practices.

• Experience in configuring and troubleshooting developer environments, APIs, databases, hosting services, and system integrations.

• Strong systems-thinking ability, with the skill to identify dependencies, risks, and potential failure modes throughout a technical toolchain.

• Experience with AI-assisted development tools and the capacity to assist non-technical colleagues in their responsible adoption.

• Clear and patient communication skills, along with confidence in supporting learners and stakeholders during time-sensitive live delivery.

• A calm and responsive demeanor when addressing technical issues under pressure.

• A genuine interest in learning, education, and the effective application of technology to enhance learner outcomes.

• Experience with any of the following would be advantageous: GitLab, GitLab CI/CD, GitLab Duo, Claude, Claude Code, Python 3.12, uv, PostgreSQL, pgvector, Render, Google Cloud Run, Streamlit, Canvas, LLM APIs, H5P, GitLab Pages, or GitHub Pages.

🏝️ Benefits

• Collaborative, people-centered performance culture.

• Opportunities for growth in a fast-paced environment.

• Meaningful work that supports reliable and accessible learning experiences.