Senior Software Engineer - Routing Data Transforms

ABOUT ZIPLINE

Zipline is at the forefront of a logistics revolution: We design, manufacture, and operate our own fleet of autonomous drones, and all ground-based equipment that supports flight, to deliver critical and lifesaving medicine to thousands of hospitals serving millions of people on multiple continents. Our mission is to provide every human on Earth with instant access to vital medical supplies. Do you want to change the world? Join Zipline and help us make this a reality for billions of people.

ABOUT YOU AND THE ROLE

Zipline builds and operates fleets of delivery drones to get critical and life-saving products, fast, to where they’re needed. In this role you will contribute to, build, and own critical pieces of our maps data infrastructure. These systems will ingest and process data from various sources to help us account for elements like ground and air risk, varying terrain, inclement weather, energy efficiency, and other drones in the airspace. You’ll play a pivotal role in scaling our pipelines to support expansion into new metros around the globe. Our ideal candidate works well in startup environments, is comfortable wearing many hats, and can guide and mentor other engineers on the team to produce outstanding results.

WHAT YOU'LL DO

• Collaborate with a team of engineers to design and implement scalable systems for storing, processing, and accessing data to optimize path planning on a global scale.
• Develop efficient, automated, and event-driven pipelines that respond to real-time changes, ensuring our maps and routing algorithms are always up to date with the latest data.
• Define and drive the technical vision for the Routing Data Transforms team, ensuring alignment with broader organizational goals.
• Mentor and support other engineers on the team, fostering a culture of learning and innovation.

WHAT YOU'LL BRING

• Proven experience working in distributed systems and scaling data pipelines.
• Expertise in designing event-driven architectures that enable real-time data processing and automatic updates.
• Proficiency in Python, C++, Golang, or other object oriented languages with a focus on writing clean, maintainable, and readable code.
• Experience with geospatial data management, including tiling solutions like h3, s2, or geohash.
• A strong generalist mindset, ready to dive in and contribute across many facets of our infrastructure.

NICE TO HAVES

• Experience building event-driven architectures using tools like Apache Kafka or Google Pub/Sub.
• Experience working with large scale data processing and blob storage technologies.
• Experience working with geographic data like Digital Elevation Models, large vector datasets, occupancy grids, and Lidar point clouds.
• Experience working with kubernetes, CDK/terraform, Docker, and other cloud technologies.

WHAT ELSE YOU NEED TO KNOW 

The starting cash range for this role is $170,000 - $210,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!