Develop and maintain the task management & storage platform : build features and services that store, index and deliver coding tasks. Ensure reliability, scalability and security of this platform using Python, Docker and AWS.

Contribute to programming tasks : help design and improve technology‑agnostic coding challenges by defining problem statements, function signatures and descriptions and by providing reference solutions in multiple languages.

Manage templates and test cases: Create and maintain initial code skeletons, and design example, correctness, and performance test cases to ensure tasks accurately assess candidate solutions.

Automate workflows : write Python scripts and Terraform code to automate task generation, testing, deployment pipelines and infrastructure provisioning.

Operate containers and AWS services : use Docker for isolated execution environments and manage infrastructure on AWS services (ECS, Lambda, DynamoDB, Kinesis, S3).

Maintain existing content and tooling : review and update existing tasks and maintain internal tools for content authoring and storage.

Collaborate across teams : work closely with product, engineering and support to align content and platform capabilities.

Computer science fundamentals : Solid understanding of algorithms, data structures and complexity analysis. You should be comfortable designing problems that assess these skills.

Programming proficiency : Strong skills in Python, with the ability to write clean, efficient and idiomatic code. Experience with at least one additional programming language (e.g., C++, Java, Go or JavaScript) and willingness to learn, program and debug in others.

Docker experience : Familiarity with containerization and the ability to build, run and debug Docker images.

Tech‑agnostic mindset : Openness to working across various languages and technologies to create tasks.

Problem formulation : Ability to translate real‑world engineering challenges into clear, structured coding tasks with well‑defined inputs, outputs and constraints.

Communication skills : Excellent written and verbal communication in English; you will write clear task descriptions and collaborate with distributed teams.

Efficient use of LLMs : Ability to leverage large language models (LLMs) to research programming concepts, generate code snippets and assist with problem design or automation.

Attention to details: Meticulous in reviewing and refining content, ensuring accuracy and consistency across all tasks and solutions.