Note: The job is a remote job and is open to candidates in USA. Mondo is looking for a senior full-stack engineer to join QSIC, focusing on backend services and APIs within a growing IoT-powered retail media network. The role involves designing scalable solutions, collaborating with product teams, and contributing to both backend and frontend development.
Responsibilities
- Build and maintain backend services and APIs using Python and Django, supporting real-time device fleet management across thousands of retail locations
- Design and architect scalable solutions for high-volume, public-facing systems, including multi-database routing, async processing pipelines, and near-real-time control of a large device fleet
- Translate loose product requirements into technical designs and task breakdowns, leveraging AI tooling (such as Claude Code) to move from PRD to implementation plan
- Develop integrations with third-party advertising and display platforms, contributing to ad-tech functionality around audio and display targeting
- Collaborate with the product team to define roadmap priorities, surface risks early, and communicate technical decisions clearly to business stakeholders
- Contribute frontend development in React and TypeScript as needed, supporting the full-stack nature of the role
- Operate autonomously in a fast-paced startup environment, generating your own tickets, owning work end to end, and supporting new customer onboarding and platform expansion
Skills
- 7 or more years of full-stack engineering experience, with a backend-leaning but genuinely full-stack profile (Python and Django on the backend, React on the frontend)
- Demonstrated production experience with Django and Django REST Framework building large, public-facing APIs at scale
- Experience owning and delivering complete features or systems end to end, with a clear record of technical leadership and autonomous decision-making
- Familiarity with AI-assisted development workflows (such as Claude Code or similar), with the ability to direct, verify, and take accountability for AI-generated output
- Strong engineering judgment, with the ability to decompose ambiguous requirements, reason about failure modes, and right-size solutions without close oversight
- Experience working in startup or high-growth environments where engineers are expected to wear multiple hats and operate with limited process
- Multicultural or global team experience, particularly with distributed teams across time zones
- Background in retail media, ad-tech, or digital out-of-home advertising platforms
- Experience with IoT, distributed fleet management, or systems managing large numbers of connected devices
- Familiarity with AWS cloud infrastructure and async or queue-based processing architectures
- Exposure to Elixir or other languages common in polyglot engineering environments
Benefits
- Equity grant (10% of salary, 5-year vesting schedule)
- Eligible for Health, Dental, Vision, and 401K
Company Overview