Senior Full Stack Software Engineer at Zipline Rwanda 2026

Zipline is seeking a Senior Full Stack Software Engineer to join its Data Platform team in Kigali, Rwanda. The successful candidate will develop and maintain internal software tools and data infrastructure that support Zipline’s autonomy development and machine-learning operations.

The role is particularly focused on building annotation tools, data pipelines, reporting systems, and applications used by engineering and operations teams. The engineer will work with global teams, including engineers based at Zipline’s San Francisco headquarters, while contributing to systems that support real-world autonomous aircraft operations.

About Zipline

Zipline is a global autonomous drone delivery company focused on providing fast and reliable access to essential goods such as medicine, food, and other critical supplies. The company operates across four continents and has completed millions of deliveries.

Zipline’s technology goes beyond the aircraft itself. Its wider system includes autonomous logistics, software, data infrastructure, operational tools, and other technologies that enable reliable deliveries at scale. The company works with healthcare systems, governments, retailers, restaurants, and other organizations.

The Kigali-based position provides an opportunity for an experienced software engineer to work on technology supporting autonomous systems and machine-learning workflows while collaborating with engineering teams across the world.

Job Details

About the Role

The Senior Full Stack Software Engineer will join Zipline’s Data Platform team and work on internal tools and infrastructure that support autonomy development.

The role involves developing applications used by annotation teams, creating data pipelines and models, improving automation, maintaining data quality, and integrating internal systems. The engineer will also work directly with Machine Learning and Autonomy teams to ensure that software tools meet operational requirements.

Key Responsibilities

Application Development

The successful candidate will:

• Design, develop, and maintain internal tools.
• Build applications supporting annotation teams.
• Help teams produce high-quality machine-learning datasets.
• Maintain and improve software used by internal users and contractors.

Collaboration with Internal Teams

The engineer will:

• Work with Machine Learning teams.
• Collaborate with Autonomy teams.
• Understand internal users’ requirements.
• Optimize annotation tools for engineering workflows.
• Support high-quality and accurate data production.

Data Engineering

Responsibilities include:

• Developing data pipelines.
• Developing data models.
• Integrating labeled machine-learning data.
• Supporting data flow between the Data Platform and Autonomy engineering teams.

Automation and Efficiency

The position will involve:

• Identifying opportunities to automate manual processes.
• Improving annotation workflows.
• Reducing processing time.
• Increasing operational efficiency without compromising data quality.

Data Integrity and Quality Control

The engineer will:

• Develop features for tracking annotation progress.
• Monitor annotation quality.
• Identify errors.
• Provide feedback mechanisms.
• Help maintain high standards of data quality.

Reporting and Observability

The successful candidate will work with stakeholders to support reporting related to:

• Internal operational metrics.
• Data quality.
• Team performance.
• Other internal performance indicators.

Version Control and Documentation

Responsibilities include:

• Maintaining versioned releases of annotation tools.
• Ensuring proper documentation.
• Supporting internal users and external contractors with documented software releases.

Bug Fixes and Troubleshooting

The engineer will:

• Respond to technical issues.
• Troubleshoot software problems.
• Resolve issues in production environments.
• Fix problems identified during development cycles.

Cross-Functional Collaboration

The role requires collaboration with other engineering teams, particularly the Data Platform team, to:

• Integrate annotation tools with internal systems.
• Connect applications with data pipelines.
• Maintain smooth data flow between engineering teams.

Continuous Improvement

The successful candidate will:

• Monitor tool usage and performance.
• Gather feedback from users.
• Improve usability.
• Improve scalability.
• Increase workflow efficiency.

Required Qualifications

Applicants should have:

• A Bachelor’s or Master’s Degree in Software Engineering, Computer Science, Engineering, or a related field.
• Equivalent practical experience may also be considered.
• At least 5 years of experience building, deploying, and maintaining software tools or applications.
• Strong programming skills in technologies such as:
• React
• Python
• SQL
• Rust
• Experience working with both internal teams and external users or contractors.
• Experience with API integrations.
• Experience with webhooks and third-party integration technologies.
• Familiarity with software development practices.
• Experience with version control such as Git.
• Knowledge of software testing.
• Familiarity with CI/CD pipelines.
• Strong problem-solving skills.
• Ability to troubleshoot complex software issues.
• Excellent communication skills.
• Ability to work effectively with cross-functional teams.
• Ability to relocate to Kigali, Rwanda.
• Preferred Qualifications
• The following would be an advantage:
• UI/UX design knowledge.
• Experience developing or improving user interfaces.
• Database management experience.
• Knowledge of SQL or NoSQL databases.
• Experience with cloud platforms such as AWS or GCP.
• Experience with Docker or Kubernetes.
• Familiarity with data annotation platforms.
• Experience with tools such as Labelbox, V7, or Encord.
• Experience with autonomous systems.
• Knowledge of robotics.
• Experience with machine learning or AI-based tools.
• Familiarity with Agile development methodologies.

Key Skills

The ideal candidate should demonstrate:

• Full-stack software development.
• React development.
• Python programming.
• SQL and database skills.
• API integration.
• Webhook integration.
• Git and version control.
• Testing and CI/CD.
• Data engineering.
• Troubleshooting.
• Problem solving.
• Cross-functional collaboration.
• Technical documentation.
• Data quality management.
• Automation.

Why Work at Zipline?

The position offers an opportunity to work on technology connected to real-world autonomous logistics operations.

The engineer will collaborate with experienced software and data engineers globally and contribute to tools that support aircraft operating real missions. The role is particularly suitable for software engineers interested in data platforms, machine learning, autonomous systems, and large-scale logistics technology.

CLICK HERE TO APPLY