SLNG is building the backbone for real-time speech AI, enabling developers to run voice applications anywhere in the world with local compliance and ultra-low latency.

Our founding team comes from the core of AI and developer tooling in the USA, with experience scaling platforms trusted by the world’s best builders. Meet Luke, Founder & CEO, and Ismael, Founder & CPO at SLNG.

We’re bringing that San Francisco mindset to Europe with our first hub in Barcelona, and we have the support of leading international VCs and Angels who are backing the SLNG journey.

Challenge → Today, most speech infrastructure is US-centric, unreliable, and difficult to deploy globally. SLNG is changing that by delivering a platform that is:

• Local: deployed close to users and compliant with regional regulations

• Fast: designed for real-time voice experiences

• Open: built to integrate with the tools and workflows developers already use.

From real-time transcription to voice AI applications, SLNG is creating the Voice AI gateway that will empower the next generation of speech-powered products.

As the Founding Platform Engineer, you’ll work closely with Ismael, shaping the technical foundation of the SLNG platform while driving solutions for challenging problems like scaling, reliability, and global compliance.

What we offer

• We pay top of market → We want serious talent in the team, and we benchmark compensation accordingly.

• Equity → All full-time, permanent roles include stock options — we want everyone to share in the upside as we build.

• Hybrid by design → 3 days/week in the Barcelona office for collaboration and culture.

• Flexible benefits: Health insurance, gym, and more via Cobee.

• L&D: Annual budget (up to €1000) for training, courses, or conferences.

• Remote work support: Monthly stipend (up to €50) to cover wifi or other costs.

• Great equipment: Laptop of your choice plus €500 to set up your workstation in year one, with top-ups in the following years.

• Time off: Additional +5 days vacation on top of the statutory minimum

About The Role

This role is at the intersection of distributed systems, networking, and applied AI — with every line of code shaping the future of real-time speech.

Build and operate the distributed infrastructure powering real-time speech processing at a global scale. You'll architect systems handling speech traffic routing, GPU orchestration, and model inference across distributed edge nodes.

You’ll own 

• Design and implement a multi-region API gateway architecture with sub-100ms failover capabilities

• Build distributed speech traffic routing systems across global edge infrastructure

• Develop GPU scheduling and auto-scaling systems for ML inference workloads

• Create observability and monitoring pipelines for hundreds of distributed nodes

• Collaborate with ML engineers on model deployment, versioning, and A/B testing infrastructure

• Design resilient systems meeting <1s latency SLAs for real-time applications 

Example Initiatives

• Multi-region traffic routing with automatic failover and load balancing

• GPU resource management and scheduling across heterogeneous hardware

• Real-time monitoring and alerting for distributed inference systems

• SDK design for developer-facing APIs handling real-time speech streams

• Infrastructure automation and configuration management at scale

Requirements

• Experience building distributed systems and cloud infrastructure

• Deep understanding of networking protocols, load balancing, and CDN architecture

• Experience with container orchestration

• Hands-on experience with observability tools (Prometheus, Grafana, distributed tracing)

• Infrastructure as Code experience (Terraform, Ansible, or similar)

• Experience with API gateway design and implementation

• Strong Python development experience

Extras:

• GPU cluster management and ML inference optimization

• Real-time systems and low-latency networking

• Edge computing and content delivery networks

• Experience with speech/audio processing pipelines

 Hiring Process (2 weeks)

1. Intro call with one of the founders

2. Case Study

3. Panel conversation with members of the SLNG Team

4. Final discussions

5. Job offer