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Senior or Software Engineer – Cloud Communications Platform

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: Zipline
Full Time position
Listed on 2026-03-10
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior or Staff Software Engineer – Cloud Communications Platform

Senior Software Engineer – Cloud Communications Platform

South San Francisco, California, USA

About Zipline

Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing, and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution to providing on-demand home delivery for major retailers, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments, and consumers.

The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, reducing fossil fuel consumption and air pollution, and building a more resilient global supply chain.

Join Zipline and help us build an equitable and resilient logistics system for billions of people.

About You And

The Role

Zipline operates a large-scale autonomous system that depends on reliable, low latency communication between vehicles, ground infrastructure, and cloud services. Our Cloud Communications team owns the platform that moves critical data from embedded systems into the cloud and ensures that data is reliable, scalable, and observable.

We are looking for a Senior or Staff Software Engineer to expand and harden this platform. This role focuses on connecting hardware assets to the cloud, hosting and orchestrating new data use cases, and building distributed observability that spans embedded software, cellular networks, and cloud microservices.

You will work closely with Embedded and Autonomy teams who design software to get data off devices. Your responsibility is to ensure that data is securely ingested into the cloud, deduplicated, stored, processed, monitored, and made available for both real time and offline workflows.

This is a high ownership role with direct impact on flight reliability, operational visibility, and the scalability of our global network.

What You’ll Do
  • Own and evolve the services that connect vehicles, charging and loading stations, fulfillment hardware, and other field deployed infrastructure to the cloud
  • Design and maintain asset‑to‑cloud APIs, message schemas, and communication clients in partnership with embedded teams
  • Build and operate ingestion pipelines for new data streams, including high volume perception and telemetry data generated by vehicles and ground systems
  • Design systems for deduplication, validation, and scalable storage of high volume telemetry and event data
  • Ensure secure provisioning of hardware assets, including certificate management and integration with internal provisioning systems
  • Expand cross‑stack telemetry to measure latency and uptime across embedded systems, cellular networks, and cloud infrastructure
  • Build correlation systems that link events in vehicle software to cloud‑side signals such as service errors or streaming backlogs
  • Develop tooling and dashboards that allow engineering and operations teams to monitor the health of device‑to‑cloud interactions and track reliability trends
  • Improve correctness, testability, and auditability of distributed systems that operate in safety critical contexts
  • Contribute across the stack as needed, from backend services and infrastructure to internal tooling
Basic Qualifications
  • 5+ years of experience building and operating reliable distributed systems
  • Experience designing APIs and data models for high volume or real time systems
  • Experience with cloud infrastructure such as AWS and container orchestration platforms such as Kubernetes
  • Experience building or operating streaming and messaging systems
  • Strong fundamentals in networking, security, and systems design
  • Track record of owning problems end to end, from design through production operation
  • Clear and concise communication skills and comfort working across hardware, embedded, and cloud teams
Preferred Qualifications
  • Experience working on systems…
Position Requirements
10+ Years work experience
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