Senior Backend Engineer - AI Media Transforms

Your role in the team

Our expectations of you

Qualifications

• You have high proficiency in Java or a similar JVM language (Kotlin, Scala), with a solid grasp of the surrounding ecosystem and tooling.
• You have strong computer science fundamentals such as concurrency, distributed systems, performance engineering, and the design patterns that come with running services at scale.
• You've built asynchronous, job-based systems: queues, workers, state machines, retries, timeouts and partial failure.
• Our requests take seconds rather than milliseconds, run on scarce GPU capacity and cost real money per call, so correctness under partial failure and cost per request matter more here than raw throughput.
• You're happy owning the operational surface as part of the job: metrics and dashboards, autoscaling and capacity, deployment configuration, and progressive rollout behind feature flags.
• You have a good sense of API design and the discipline to evolve a contract without breaking two dozen downstream callers.
• You're comfortable working alongside ML engineers and researchers.
• You will write some Python code (e.g., worker entry points, job handlers, deployment configuration) and should be comfortable considering a GPU-backed workload as a problem of latency, capacity, and cost.
• You have a track record of leading technical initiatives end to end.
• This means driving architecture decisions, partnering with senior engineers, and raising the technical bar on a team.
• You communicate clearly in writing and verbally, with the ability to make complex technical trade-offs understandable to product, ML and infrastructure audiences alike.

Experience

• You have significant commercial experience designing, building and operating backend systems in production - and staying on call for them.
• You don't need PyTorch, model architecture or training experience; that's our ML engineers' craft and we won't test you on it.

What we offer