Senior Backend Engineer (Go) | Studio AI

Talanto

Amsterdam

Hybrid

EUR 120,000 - 180,000

Full time

6 days ago
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Job summary

Talanto is seeking a Senior Backend Engineer (Go) in Amsterdam to architect multimodal generation pipelines and scale high-concurrency Go services. You will design microservices, optimize Kafka-SQS processing, and collaborate with AI researchers to deliver fast, reliable AI workflows for creators and designers.

Join a fast-moving team building a production-ready Creative Engine on AWS, with emphasis on performance, observability, and quality software practices.

Qualifications

  • Advanced Go engineering in high-traffic SaaS environments.
  • Distributed systems design with asynchronous processing (Kafka & SQS) and low-latency communication.
  • Cloud architecture on AWS (EKS, S3, Lambda) and scalable compute environments.
  • Experience building professional-grade creative tools or media-heavy applications.
  • Commitment to code quality, testing, and observability.

Responsibilities

  • Orchestrate multimodal workflows with Go-based microservices.
  • Optimize ConnectRPC and async pipelines for long-running AI tasks.
  • Develop backend logic for multimodal orchestration and generation features.
  • Work with AWS to manage data throughput and storage/compute clusters.
  • Collaborate with AI researchers to deliver polished user experiences.

Skills

Go engineering
Distributed systems
Cloud architecture
Product rigor
Software best practices

Tools

Kafka
SQS
gRPC
ConnectRPC
GraphQL
AWS

Job description

Senior · Amsterdam, North Holland, Netherlands

Go GraphQL Kafka AWS

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.

About the team: Studio AI

We built a single platform where anyone can generate and edit images, video, audio, 3D models, and vector graphics using state-of-the-art generative AI. Our tools serve hundreds of thousands of creators every day, from hobbyist crafters to professional designers and everything in between, all in one place.

We move fast, integrate frontier models into production-ready workflows, and build the infrastructure that gives creators every tool they need to turn any idea into professional-grade media, at scale.

About the role

As a Senior Backend Engineer (Go), you will be the architect of our multimodal generation pipeline. You won't just be building APIs; you’ll be designing the high-concurrency systems that orchestrate "heavy" AI workloads across any media domains. Your goal is to make complex, multi step AI generation feel instantaneous and reliable for a global audience of creators.

What you will do:

  • Orchestrate Multimodal Workflows: Design and scale Go-based microservices that manage the lifecycle of AI generations.
  • Performance Engineering: Optimize our ConnectRPC services and async processing pipelines (Kafka + SQS) to handle long-running, resource-intensive inference tasks without compromising platform stability.
  • Build the Creative Engine: Develop the backend logic for advanced features like multimodal orchestration.
  • Data & Infrastructure: Work with AWS to manage massive data throughput and integrate with high-performance storage and compute clusters.
  • Collaborate with AI Researchers: Bridge the gap between raw model outputs and a polished "One Person Studio" user experience.

What you will need:

  • Advanced Go Engineering: Extensive experience building and scaling Go services in high-traffic, high-volume SaaS environments.
  • Distributed Systems Mastery: Proven ability to design microservices that utilize asynchronous processing (Kafka & SQS) and low-latency communication (gRPC/ConnectRPC/GraphQL).
  • Cloud Architecture: Deep knowledge of AWS (EKS, S3, Lambda) and experience managing complex compute environments.
  • Product Rigor: A background in building professional-grade creative tools or media-heavy applications.
  • Software Best Practices: A quality-first mindset regarding code reviews, testing strategies, and observability.

Nice to have:

  • Media Processing Experience: Familiarity with handling varied media types (video transcoding, audio synthesis, vector manipulation).
  • AI Infrastructure: Experience with model serving at scale or managing GPU-accelerated workloads.
  • Entrepreneurial Mindset: Experience in a fast-paced environment where you help define the product vision and iterate quickly.

Is this you?

is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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