Австралия
Новая ЗеландияSenior Backend Engineer (Go) (Location - Australia or New Zealand)
1 мес. назад
АвстралияНовая ЗеландияSeniorRemote
goaibackendhigh-concurrency
Senior Backend Engineer with Go experience to own backend systems for AI product pipelines in a fully remote role.
О компании
- Creative Fabrica is a subscription platform serving millions of creators, designers, and crafters worldwide. We're built on the principle that everyone can be creative. We remove what stands in the way: expensive software, technical expertise, and time-consuming production.
- Our Studio AI suite offers more than 26 specialized AI tools that automate technical work: generate custom images, remove backgrounds, create fonts, and produce publication-ready designs in minutes instead of hours.
- Our content library contains 15+ million commercially-licensed fonts, graphics, SVGs, and templates, giving you professional-quality building blocks without the expense or time of creating assets from scratch.
Обязанности
- This is a fully remote role within New Zealand, Australia East Coast or nearby time zones.
- Creative Fabrica is building a new generation of AI products, and we want the quality and speed of our creative output to match the ambition of the products themselves.
- Our 26+ AI tools already serve hundreds of thousands of creators every day, from hobbyist crafters to professional designers. The engineering challenge is making heavy, long-running AI workloads feel fast and reliable at that scale.
- We are looking for a Senior Backend Engineer with deep Go experience who can architect high-concurrency systems and take ownership of our multimodal generation pipeline. As a Senior Backend Engineer (Go), you will own the backend systems behind Studio AI's generation pipeline.
- You will work closely with our other backend engineers, platform engineers, and Product to turn raw model output into a polished product experience.
- This is not primarily an API-building role. The difficulty sits in orchestration: coordinating expensive inference across media domains, handling partial failure gracefully and keeping latency predictable under load.
- You will have significant technical freedom. Sometimes you will pick up a defined problem; other times you will be given an objective and expected to define the architecture yourself.
- Your overlap with our Amsterdam headquarters will mostly be asynchronous, so you should be comfortable working independently. Our stack: Go, Kafka, SQS, gRPC, ConnectRPC, GraphQL, Postgres, AWS (EKS, S3, Lambda).
- Design and scale Go microservices that manage the full lifecycle of an AI generation.
- Optimise our ConnectRPC services and asynchronous pipelines (Kafka, SQS) to handle long-running, resource-intensive inference without compromising platform stability.
- Build the backend logic behind advanced features, including multimodal orchestration across images, video, audio, 3D and vector.
- Work with AWS to manage large data throughput and integrate with high-performance storage and compute clusters.
- Collaborate with external providers and Product to bridge the gap between model output and production user experience.
- Make and document architectural decisions on concurrency, queueing, backpressure and failure handling as the pipeline scales.
- Improve reliability and latency across the generation path, and own the observability needed to see both clearly.
- Own quality end to end: code review, testing strategy and on-call readiness for the services you build.
- Integrate new frontier models into production workflows quickly and safely.
- Contribute to technical direction across the wider backend platform, not only your own services.
- Stay current with distributed systems practice, AI infrastructure and model-serving developments.
Требования
- Extensive experience building and scaling backend services in Go in high-traffic, high-volume SaaS environments.
- Proven ability to design distributed microservice architectures, including asynchronous processing (Kafka, SQS), low-latency service communication (gRPC, ConnectRPC or GraphQL) and long-running or resource-intensive workloads with queueing, backpressure and retry strategies.
- Deep AWS knowledge (EKS, S3, Lambda) alongside solid relational database skills, ideally Postgres: schema design, query performance and handling growth.
- Strong production discipline: observability, performance profiling, debugging live systems, code review and automated testing.
- Comfortable owning and documenting architectural decisions. Good written and spoken English.
- Strong sense of ownership over the reliability and quality of the systems you build, and over whether they actually perform for users rather than just read well.
- Pragmatic and self-directed; defines an approach without a fully specified brief, balances engineering quality against product goals, and ships dependable systems at pace rather than over-engineering.
- Strong written communicator who documents decisions by default, takes direct feedback well, and works effectively in a distributed team with limited real-time overlap.
Будет плюсом
- Media processing experience such as video transcoding, audio synthesis or vector manipulation.
- AI infrastructure experience: model serving at scale, GPU-accelerated workloads, integrating third-party or open-source generative models into production, and cost optimisation for compute-heavy jobs.
- Background in a startup or other fast-moving, distributed environment, with an interest in helping shape product direction.
- Please note: You must already be living in Australia or New Zealand to be considered for this role.
Другое
- Get in touch! We'd love to speak to you.
- You can apply by clicking the "Apply now" button.