Software Engineer, Scheduled Tasks

Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

The Scheduled Tasks team builds the platform primitives that let applications and agents run work now, later, or for a long time. We own Vercel Workflows, Queues, and Cron: the systems developers use to build long-running, event-driven, and scheduled applications.

You will join a team working at the intersection of developer experience and distributed systems. Together, we are building and scaling the products that make it straightforward for developers to coordinate background work, move messages between services, and schedule work with confidence. You will collaborate close...

Design, build, and operate platform capabilities across Workflows, Queues, and Cron.
Help developers build applications and agents that coordinate background, event-driven, and scheduled work.
Build APIs, SDKs, and tooling that make it easy to define, run, and manage durable work at scale.
Work on the distributed-systems foundations behind scheduling, message delivery, execution, retries, and state.
Partner with product, developer experience, and infrastructure teams to turn customer needs into clear, useful developer primitives.
Raise the engineering bar through thoughtful design reviews, well-tested code, production ownership, and clear technical communication.
Engage with developers and the open-source community to understand where background jobs, queues, and scheduling create friction—and use that feedback to improve the platform.

You have 5+ years of experience building and operating distributed systems, developer platforms, or cloud infrastructure.
Experience with TypeScript/JavaScript and open-source infrastructure or developer tools is a plus.
You are comfortable working across APIs, runtimes, storage, networking, and production operations.
You have experience with one or more of: job queues, schedulers, workflow orchestration, event-driven systems, state machines, stream processing, or durable execution.
You understand the tradeoffs behind delivery guarantees, retries, idempotency, concurrency, and fault tolerance—and can turn those tradeoffs into usable product primitives.
You write high-quality, well-tested code and enjoy solving complex technical problems.
You communicate clearly, collaborate well across teams, and help a growing team converge on strong technical decisions.